Podcasts about cisco

AI is now uncovering and fixing thousands of hidden software bugs faster than humans can keep up, but not everyone is playing by the rules. Find out how state-sponsored attackers and careless disclosures are turning the cybersecurity playbook upside down. Win10's popularity forces another year of free updates. CISA directs all federal agencies to update their UniFi OS devices. CISA gave federal agencies "the weekend" to update Cisco devices. Australia is disturbed by a deeply compromised infrastructure provider. OpenAI introduces Daybreak-powered "Patch the Planet" initiative. Meta's employee monitoring-for-AI-training backfired badly. Script Kiddies figure out how to use AI to find vulnerabilities. AI improves with "looping", "repeating" or "iterating". A wonderful story about Kevin Mitnick. Serious hackers mistakenly left a server directory accessible Show Notes - https://www.grc.com/sn/SN-1085-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: threatlocker.com/twit hoxhunt.com/securitynow cohesity.com/Resilience zscaler.com/security

Tata Electronics and Bajaj Auto continue recovery from cyberattacks. FCC tightens undersea cable rules to bolster national security. CISA warns of actively exploited PTC vulnerability. Gamaredon expands toolkit, hides behind legitimate services. Iran-linked hackers turn public warning systems into psychological weapons. Threat actors target critical infrastructure across Southeast Asia. DCloud framework behind global scam economy. Polish police disrupt SIM-swapping gang. French statistics agency reports cyberattack affecting nearly 13,000 staff. Our guest is Michael Fanning, CISO at Splunk, discussing how AI doesn't create problems, it exposes them. And an open-book exam for hackers. Remember to leave us a 5-star rating and review in your favorite podcast app. Miss an episode? Sign-up for our daily intelligence roundup, Daily Briefing, and you'll never miss a beat. And be sure to follow CyberWire Daily on LinkedIn. CyberWire Guest Today we are joined by Michael Fanning, CISO at Splunk, discussing how AI doesn't create problems, it exposes them. Selected Reading Apple supplier Tata tightens internal controls after data breach, sources say (Reuters)  Bajaj Auto resumes normal operations as cyberattack probe continues (Storyboard18)  FCC passes new cybersecurity rules for emergency systems, undersea cables (CyberScoop) U.S. CISA adds Cisco and PTC Windchill and FlexPLM flaws to its Known Exploited Vulnerabilities catalog (SecurityAffairs)  Gamaredon in 2025: Leveraging tunnels, workers, dead drops, and new alliances (ESET)  A Cyber-Psychological Operation: Iran-Linked Attackers Target Warning Systems (Claroty)  CL-STA-1062 Targets Southeast Asian Governments and Critical Infrastructure (Unit 42) From San Pedro to Salinas: How a Chinese Framework “DCloud Uni-App” Powers a Global Scam Economy (Infoblox) Poland busts SIM-swapping gang tied to millions in crypto theft (BleepingComputer) France's statistics department reports cyberattack on staff data (Reuters) UK school's network left wide open for invasion, student found (The Register) Share your feedback. What do you think about CyberWire Daily? Please take a few minutes to share your thoughts with us by completing our brief listener survey. Thank you for helping us continue to improve our show. Want to hear your company in the show? N2K CyberWire helps you reach the industry's most influential leaders and operators, while building visibility, authority, and connectivity across the cybersecurity community. Learn more at sponsor.thecyberwire.com. The CyberWire is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices

DOCKET ALERTS: The administration says it's going to prosecute anyone who touches the algae-ridden Reflecting Pool at the Lincoln Memorial. So far, that seems to be more bluster than reality.   Sadly, what isn't bluster is that Judges Reed O'Connor and Mark Pittman in Texas are handing down extraordinarily long punitive sentences for Antifa protestors to "send a message" not to criticize the government.   DOOFUS OF THE DAY: Postmaster General David Steiner, who tried to pass off voter suppression efforts to not distribute ballots as just "best practices" for the USPS. Fortunately, Judge Indira Talwani in Massachusetts permanently enjoined that part of Trump's plan to steal the midterms and ordered declared Trump's executive order unconstitutional and void.   MAIN SHOW: It was a rough week at the Supreme Court, with SEVEN decisions all reaching extreme right-wing outcomes, all by the exact same 6-3 margin, and using contradictory legal "reasoning" to get there. The Supreme Court prevented victims of human rights abuses from suing the US company Cisco, while permitting Exxon Mobil to sue the Cuban government.   US v. Song [antifa protestors, docket via CourtListener] https://www.courtlistener.com/docket/71912958/united-states-v-arnold/   California v. Trump [post office injunction, docket via CourtListener] https://storage.courtlistener.com/recap/gov.uscourts.mad.298518/   Exxon Mobil v. Corporation CIMEX [Supreme Court suits against Cuba] https://www.supremecourt.gov/opinions/25pdf/24-699_f204.pdf   Cisco Systems v. Doe [Supreme Court human rights suits] https://www.supremecourt.gov/opinions/25pdf/24-856_kjfm.pdf   Landor v. Louisiana Dep't of Corrections [Supreme Court Rastafarian religious liberty] https://www.supremecourt.gov/opinions/25pdf/23-1197_h3ci.pdf   Blanche v. Lau [Supreme Court lawful permanent residents] https://www.supremecourt.gov/opinions/25pdf/25-429_h3ci.pdf   Mullin v. Al Otro Lado [Supreme Court asylum applications] https://www.supremecourt.gov/opinions/25pdf/25-5_86qd.pdf   Mullin v. Doe [Supreme Court TPS] https://www.supremecourt.gov/opinions/25pdf/25-1083_f204.pdf   US v. Southern Poverty Law Center [criminal indictment of SPLC; docket via CourtListener] https://www.courtlistener.com/docket/73223865/united-states-v-southern-poverty-law-center-inc/?filed_after=&filed_before=&entry_gte=&entry_lte=&order_by=desc Show Links: https://www.lawandchaospod.com/ BlueSky: @LawAndChaosPod Threads: @LawAndChaosPod Twitter: @LawAndChaosPod  

How do you prepare for the financial, emotional and logistical realities of caring for a loved one? In this episode of Money Tales, Lindsay Jurist-Rosner shares how nearly three decades of helping care for her mother after an MS diagnosis revealed just how unprepared most families are for the challenges of long-term care. From navigating healthcare systems and managing complex decisions to coping with caregiver stress and financial strain, Lindsay’s experience inspired her to found Wellthy, a platform designed to help families coordinate care and reduce the overwhelming burden that often accompanies caregiving. This conversation offers valuable insights for anyone supporting aging parents, caring for a family member with a chronic illness or planning for the future costs and responsibilities of care. About Lindsay Jurist-Rosner: Transforming Family Caregiving Through Innovation Lindsay Jurist-Rosner is the co-founder and CEO of Wellthy – a market-leading care concierge company that is revolutionizing the way families care for their loved ones and themselves. Wellthy combines digital innovation and human expertise so that family caregivers have the support they need to navigate any care situation throughout all life stages – ensuring that families can spend their time prioritizing love over healthcare logistics. Two million people have direct access to Wellthy's services through some of the largest and best-known health plans and employers across the country, including Best Buy, Cisco, Hilton, and Meta. With Wellthy, Lindsay is building the company she needed throughout the 28 years she cared for her mother. Today Wellthy has more than 300 staff working to support family caregivers. In 2023 Wellthy was named one of Fast Company's “Most Innovative Companies” and one of the magazine's “Top 10 Most Innovative Workplace Companies,” and Lindsay herself was named to Inc. Magazine's “Female Founders 200” list celebrating dynamic women entrepreneurs. Prior to founding Wellthy, Lindsay was in the advertising technology and media industries with responsibilities and leadership in marketing, product, and sales. She served as the Senior Vice President of Marketing for NY-based advertising technology startup Simulmedia, ran Marketing Research at Machinima, and worked in product and strategic marketing at Microsoft. Lindsay received an MBA from the Harvard Business School and a BA in Economics-Operations Research from Columbia University. She’s written for Fortune, Good Housekeeping, Employee Benefit News, and more, and has spoken at numerous panels and conferences, including most recently at the Consumer Electronics Show (CES) in Las Vegas. She serves on the Board of Hilarity for Charity (HFC) a non-profit dedicated to supporting Alzheimers' caregivers and founded by comedian Seth Rogen and his wife Lauren Rogen. Lindsay lives in New York City with her husband and four kids. Follow Money Tales on Spotify, Apple Podcasts or YouTube Music for more real stories that inspire thoughtful, intentional decisions about money.

AI agents already perform complex tasks, but they largely work alone, even when they're technically connected. But what if they could collectively learn from each other, and collaborate?  Our guest wants you to think about when that transition happened for people, with our own intelligence, some 70,000 years ago, when human intelligence stopped being a solo act and became something we did together.Our guest, Vijoy Pandey, runs Outshift by Cisco. He believes AI is standing at that exact threshold right now, and he's building the layer that gets it across the line. A hundred million degrees Celsius. That's the brutal reality of commercial fusion. This week, we're sitting down with industry leaders to discuss the front lines of an energy revolution, from surviving extreme thermal stress to building brand-new supply chains.We Meet:  Vijoy Pandey is Senior Vice President and General Manager of Outshift by Cisco, the company's internal incubation engine for emerging technology. Credits:This episode of SHIFT was produced by Jennifer Strong with help from Emma Cillekens. It was mixed by Garret Lang, with original music from him and Jacob Gorski. Art by Meg Marco.This episode of SHIFT was brought to you by Outshift by Cisco. 

This is episode 854. Read the complete transcription on the Sales Game Changers Podcast website. This is a Women in Sales Leadership sub-brand of the Sales Game Changers Podcast.  Watch the video of this podcast on YouTube here. The Sales Game Changers Podcast was recognized by YesWare as the top sales podcast. Read the announcement here. FeedSpot named the Sales Game Changers Podcast at a top 20 Sales Podcast and top 8 Sales Leadership Podcast! Subscribe to the Sales Game Changers Podcast now on Apple Podcasts! Purchase Fred Diamond's best-sellers Love, Hope, Lyme: What Family Members, Partners, and Friends Who Love a Chronic Lyme Survivor Need to Know and Insights for Sales Game Changers now! On today's show, Gina meets with Elisabeth De Dobbeleer, Senior Vice President of Partner Programs at Cisco. Find Elisabeth on LinkedIn. ELISABETH'S TIP: "Don't let the little voice in your head tell you, 'You can't do it. It's too early.' You should really not allow all these self-limiting beliefs to stop you. You should be bold and ambitious in terms of what you're able to achieve and what you're able to do."

EeroQ is unusual in two ways. It's the only company in the world commercializing electrons-on-helium qubits, a modality first proposed by Platzman and Dykman in Science in 1999. And it was founded by Nick Farina — a software entrepreneur, not a physicist — who got pulled into the field through a Chicago theater board where he met his future co-founder, then-PhD student Johannes Pollanen.This conversation matters now because EeroQ has had an unusually productive twelve months: a Physical Review X paper demonstrating single-electron control above 1 Kelvin, a January 2026 result on controlling up to a million electrons with fewer than 50 control lines, and — published in Nature Physics on June 15, 2026 — the first demonstration of strong coupling between a microwave photon and a single electron on helium, the cavity-QED readout-and-control link the platform depends on. If you're trying to understand which "second-tier" modalities deserve serious attention — and how a small, capital-light team in Chicago is thinking about scale-first hardware design — this is a useful listen.SponsorThis episode is brought to you by Outshift, Cisco's incubation engine. The need for computational power is rapidly increasing in every sector. From drug discovery to material innovation to complex financial modeling, classical systems are reaching their absolute limits. It's time for a paradigm shift. The answer is a scalable quantum network, built on open standards and vendor-agnostic architecture. By uniting distributed quantum devices, you unlock limitless computational power.Learn more about the Cisco Universal Quantum Switch at Outshift.com.Go deeper with the blog post The switch that quantum networking has been waiting for.What We Get IntoHow a Chicago theater board led to one of the most unique qubit companies in the fieldWhy electrons-on-helium failed in the early 2000s and why circuit QED, dry fridges, and CMOS now make it viableThe physical picture: a thin superfluid helium film coating a CMOS chip, with electrons trapped a few nanometers above the surface by their own image chargeWhy EeroQ pivoted from motional states to spin qubits after Steve Lyon (Princeton) joined as CTO — and the predicted 10+ second coherence times that come with itThe "build a quantum computer in reverse" philosophy: starting from a million-qubit architecture and working back toward two-qubit gatesHow the "Wonder Lake" chip controls 2,432 future qubit sites today, and why that's an engineering milestone rather than a qubit countHonest framing of where EeroQ actually is: no two-qubit gate demonstrated yet, with a tape-out target of ~10,000 qubits by late 2028Why dipole-dipole gates come first and exchange gates come later, borrowing from the spin qubit playbookThe case that scaling — not qubit quality — has been the field's slowest-moving problem over the last decadeResources & LinksGuest & CompanyEeroQ — Company site for the only commercial electron-on-helium quantum hardware effort.EeroQ Publications — Peer-reviewed papers and preprints from the team.Building a Quantum Computer in Reverse (EeroQ Blog, July 2023) — Farina's own articulation of the scale-first design philosophy discussed in the episode.Key PapersKoolstra, Glen, Beysengulov et al., "Strong coupling of a microwave photon to an electron on helium," Nature Physics, June 2026 — First demonstration of strong coupling between a microwave photon and the quantized motional state of a single electron on helium, including observation of vacuum Rabi splitting — establishing the cavity-QED readout link at the heart of EeroQ's architecture. This result was under embargo when the episode was recorded.Castoria et al., "Sensing and Control of Single Trapped Electrons Above 1 Kelvin," Physical Review X (2025) — The 1 K result Nick references; demonstrates charge sensing but not yet coherent spin manipulation.Koolstra et al., "High-impedance Resonators for Strong Coupling to an Electron on Helium," Physical Review Applied (Feb 2025) — The resonator architecture underlying EeroQ's cQED control approach.Electron-on-helium qubit (Wikipedia) — Useful overview including the original 1999 Platzman & Dykman Science proposal and Steve Lyon's 2006 spin-qubit paper in Physical Review A.Press & ContextEeroQ Makes World-First Breakthrough in Electron Qubits Floating on Helium (EeroQ, June 2026) — Company announcement of the Nature Physics strong-coupling result.EeroQ Solves the "Wire Problem" (PRNewswire, Jan 2026) — The million-electrons / fewer-than-50-wires result Nick cites.Individual electrons trapped and controlled above 1 K (Phys.org) — Independent coverage of the PRX paper.EeroQ Achieves Tape-Out of "Wonder Lake" Chip (The Quantum Insider, July 2023) — Background on the 2,432-site CMOS chip discussed in the episode.EcosystemChicago Quantum Exchange — The regional consortium EeroQ benefits from.Illinois Quantum and Microelectronics Park — The state-backed quantum park anchored in Chicago.Key Quotes & InsightsOn the contrarian thesis: "Scaling is actually the hardest part of building a quantum computer." Nick argues the field has made real strides on gate fidelity, error correction, and algorithms over the last decade — but not nearly enough on the path to hundreds of thousands or millions of qubits.On building in reverse: Rather than starting from a two-qubit gate and "hoping and praying to find ways to scale," EeroQ started by asking what a million-qubit processor would have to look like — which forced the choice of CMOS as the only manufacturing technology humanity has ever used to build features at that scale.On honest status: "We d...

In this episode of PICU Doc on Call, hosts Dr. Monica Gray and Dr. Pradip Kamat explore procedural sedation in the pediatric ICU. They cover sedation levels, pre-screening, risk stratification using ASA classifications, and medication selection tailored to each patient's hemodynamic and respiratory status. Through real-world case discussions involving respiratory failure, septic shock, and acute neurological decline, they highlight the importance of end-tidal CO2 monitoring and early adverse event recognition. Key takeaways include avoiding the term "conscious sedation," preparing rescue plans, and prioritizing patient safety through careful assessment and monitoring.Show Highlights:Definitions and levels of sedation (minimal, moderate, deep sedation, and general anesthesia)Importance of terminology in procedural sedationMonitoring sedation levels using scales like the Richmond Agitation-Sedation Scale (RASS)Pre-screening and risk stratification considerations for pediatric patientsASA physical status classification system for assessing patient riskUnique challenges of procedural sedation in critically ill childrenAdverse events associated with pediatric procedural sedation, particularly respiratory complicationsManagement strategies for specific cases requiring sedation (e.g., respiratory failure, septic shock)Importance of end-tidal CO2 monitoring during sedationKey takeaways for safe sedation practices in the pediatric ICU settingReferences: Nir Atlas; Rahul C. Damania; Pradip P. Kamat In Fuhrman & Zimmerman - Textbook of Pediatric Critical Care Chapter 135, 1624-1628Statement on Continuum of Depth of Sedation: Definition of General Anesthesia and Levels of Sedation/Analgesia by Committee on Quality Management and Departmental Administration. Last Amended: October 23, 2024.Coté CJ, Wilson S; AMERICAN ACADEMY OF PEDIATRICS; AMERICAN ACADEMY OF PEDIATRIC DENTISTRY. Guidelines for Monitoring and Management of Pediatric Patients Before, During, and After Sedation for Diagnostic and Therapeutic Procedures. Pediatrics. 2019 Jun;143(6):e20191000. doi: 10.1542/peds.2019-1000. PMID: 31138666.xKrauss B, Green SM. Procedural sedation and analgesia in children. Lancet. 2006 Mar 4;367(9512):766-80. doi: 10.1016/S0140-6736(06)68230-5. PMID: 16517277.Sharif S, Kang J, Sadeghirad B, Rizvi F, Forestell B, Greer A, Hewitt M, Fernando SM, Mehta S, Eltorki M, Siemieniuk R, Duffett M, Bhatt M, Burry L, Perry JJ, Petrosoniak A, Pandharipande P, Welsford M, Rochwerg B. Pharmacological agents for procedural sedation and analgesia in the emergency department and intensive care unit: a systematic review and network meta-analysis of randomised trials. Br J Anaesth. 2024 Mar;132(3):491-506. doi: 10.1016/j.bja.2023.11.050. Epub 2024 Jan 6. PMID: 38185564.Smith, Heidi A. B. MD, MSCI (Chair)1,2; Besunder, James B. DO, FCCM3,4; Betters, Kristina A. MD1; Johnson, Peter N. PharmD, BCPS, BCPPS, FCCM, FPPA, FASHP5,6; Srinivasan, Vijay MBBS, MD, FCCM7,8; Stormorken, Anne MD9,10; Farrington, Elizabeth PharmD, FCCM11; Golianu, Brenda MD12,13; Godshall, Aaron J. MD14; Acinelli, Larkin CPNP-AC, ACHPN15; Almgren, Christina CPNP16; Bailey, Christine H. MD17; Boyd, Jenny M. MD18,19; Cisco, Michael J. MD20; Damian, Mihaela MD, MPH21,22; deAlmeida, Mary L. MD23,24; Fehr, James MD13,25; Fenton, Kimberly E. MD, FCCM14; Gilliland, Frances DNP, CPNP-AC/PC26,27; Grant, Mary Jo C. CPNP-AC, PhD, FAAN28; Howell, Joy MD29; Ruggles, Cassandra A. PharmD, BCCCP, BCPPS30; Simone, Shari DNP31,32; Su, Felice MD21,22; Sullivan, Janice E. MD33,34; Tegtmeyer, Ken MD, FAAP, FCCM35,36; Traube, Chani MD, FCCM29; Williams, Stacey CPNP-AC37; Berkenbosch, John W. MD, FAAP, FCCM (Chair)33,34. 2022 Society of Critical Care Medicine Clinical Practice Guidelines on Prevention and Management of Pain, Agitation, Neuromuscular Blockade, and Delirium in Critically Ill Pediatric Patients With Consideration of the ICU Environment and Early Mobility. Pediatric Critical Care Medicine 23(2):p e74-e110, February 2022. | DOI: 10.1097/PCC.0000000000002873Benzoni T, Agarwal A, Cascella M. Procedural Sedation. [Updated 2025 Mar 22]. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2026 Jan-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK551685/Kerson AG, DeMaria R, Mauer E, Joyce C, Gerber LM, Greenwald BM, Silver G, Traube C. Validity of the Richmond Agitation-Sedation Scale (RASS) in critically ill children. J Intensive Care. 2016 Oct 26;4:65. doi: 10.1186/s40560-016-0189-5. PMID: 27800163; PMCID: PMC5080705.Tel-Dan SF, Shavit D, Nates R, Samuel N, Shavit I. Emergency Physician-Administered Sedation for Thoracostomy in Children With Pleuropneumonia. Pediatr Emerg Care. 2021 Dec 1;37(12):e1209-e1212. doi: 10.1097/PEC.0000000000001975. PMID: 31929389.Cosgrove P, Krauss BS, Cravero JP, Fleegler EW. Predictors of Laryngospasm During 276,832 Episodes of Pediatric Procedural Sedation. Ann Emerg Med. 2022 Dec;80(6):485-496. doi: 10.1016/j.annemergmed.2022.05.002. Epub 2022 Jun 23. PMID: 35752522.Cravero JP, Blike GT, Beach M, Gallagher SM, Hertzog JH, Havidich JE, Gelman B; Pediatric Sedation Research Consortium. Incidence and nature of adverse events during pediatric sedation/anesthesia for procedures outside the operating room: report from the Pediatric Sedation Research Consortium. Pediatrics. 2006 Sep;118(3):1087-96. doi: 10.1542/peds.2006-0313. PMID: 16951002.

Scott sits down with Wi-Fi engineer Eva Santos to explore the realities of modern wireless operations. Eva shares insights on navigating site surveys, the differences between Wi-Fi bands, and the challenges of troubleshooting inconsistent client performance. The conversation also explores the evolving standards of Wi-Fi 6, 7, and 8, the role of security protocols like... Read more »

Scott sits down with Wi-Fi engineer Eva Santos to explore the realities of modern wireless operations. Eva shares insights on navigating site surveys, the differences between Wi-Fi bands, and the challenges of troubleshooting inconsistent client performance. The conversation also explores the evolving standards of Wi-Fi 6, 7, and 8, the role of security protocols like... Read more »

 EPISODE DESCRIPTION I sat down with André Dragosch, European Head of Research at Bitwise Investments, live at Bitcoin Prague in the Czech Republic. Bitwise manages over $11 billion in AUM and Andre breaks down exactly why institutional investors are quietly rotating capital out of AI stocks and into crypto assets right now. We dig into why Bitcoin behaves more like a CDS on sovereign bonds than an equity hedge, how ETPs solve the custody headache for family offices and pension funds, and why the K-shaped economy in the US is actually one of the most bullish setups Bitcoin has ever seen. Andre also shares where Bitwise is expanding next, including staking on Ethereum and Solana and curated vault strategies. This is one of the most grounded, data-driven macro conversations I have had on the show and I think you will get a lot out of it. DISCLAIMERNothing mentioned in this podcast is investment advice and please do your own research. It would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend. Be a guest on the podcast or contact us - https://www.web3pod.xyz/ CONNECT Bitwise Investments Website: https://bitwiseinvestments.eu/Twitter/X - Bitwise: https://x.com/Bitwise_EuropeLinkedIn - André Dragosch: https://www.linkedin.com/in/andredragosch/ Web3 with Sam Kamani: https://www.web3pod.xyz KEY POINTS WITH TIMESTAMPS • [00:00] Bitcoin acts as a CDS on sovereign bonds and is trading in the lowest 10% of valuations across multiple metrics• [02:05] Andre's journey from Dogecoin in 2013 to European Head of Research at Bitwise, including his time at Union Investment• [04:28] How ETC Group was acquired by Bitwise in summer 2024 and became Bitwise Europe• [06:52] Why ETPs solve custody, regulatory, and cost problems for institutional investors and pension fund holders• [09:14] Capital rotation already happening from expensive AI stocks into cheap crypto assets• [11:40] Why Bitcoin's correlation with Nasdaq has risen since the US ETF launch but it showed resilience during the recent AI correction• [14:02] Bitcoin as a macro canary in the coal mine, signalling liquidity deterioration before it hits equities• [16:18] Risks in private credit financing AI CapEx and the comparison to Cisco during the dot-com era• [20:57] Why the Fed's reaction function would be far more aggressive today given how politically dependent the economy is on rising stock prices• [23:15] The K-shaped economy in the US and why 90% of the population is being left behind• [24:41] Bitwise's next growth areas: staking on Ethereum and Solana, and curated vault strategies• [25:41] How flows into ETPs are both cyclical and sentiment-driven, but strategic allocators invest regardless of price

You Didn't Get SpaceX? Don't Worry, There Are Other Mega IPOs Coming You may feel like everyone got into SpaceX except you, and now you're wondering: Should I buy shares today? Is there something better coming next? The reality is that several other massive IPOs could be coming sooner than many investors realize. At the top of the list are OpenAI, with an estimated valuation of $852 billion, Anthropic, with an estimated valuation of $965 billion, Stripe, with an estimated valuation of $159 billion, and Databricks, with an estimated valuation of $134 billion. Before you get too excited about these potential offerings, or beat yourself up for missing SpaceX, consider what the historical data tells us. Research examining 1,724 U.S. IPOs between 2011 and 2024 found that the average IPO gained approximately 23% on its first day of trading. However, over the following three years, those same IPOs underperformed the broader market by an average of 25 percentage points. The study also found that since 1980, companies coming public with at least $100 million in annual sales and a price-to-sales ratio above 40 experienced an average decline of 45% from their first-day closing price. For current SpaceX shareholders, there could still be a near-term catalyst. Under Nasdaq's fast-entry rules, newly public companies can become eligible for inclusion in the Nasdaq-100 after just 15 trading days. However, both the S&P 500 and the Dow Jones indexes currently maintain a 12-month waiting period before new companies become eligible for inclusion. If your appetite for risk remains high, you'll likely have opportunities to speculate on OpenAI, Anthropic, Databricks, and other AI-related companies when they eventually go public. But an interesting question remains: When these AI giants hit the public markets, will investors who bought SpaceX at the IPO decide to sell some of their shares and rotate into the next hot AI opportunity? There are plenty of unanswered questions, which is exactly why we prefer not to invest based on hype, headlines, or fear of missing out. Instead, we focus on financial fundamentals, valuation, cash flow, and long-term business quality. Exciting stories can drive prices higher for a while, but over time, fundamentals tend to matter most.   What Can the Nifty Fifty and Tech Bubble Teach Us About Today's Market? Every market cycle has a story. In the early 1970s it was the "Nifty Fifty." In the late 1990s it was the internet and technology boom. Today it is artificial intelligence. The late 1990s we saw the technology boom where the internet was a revolutionary innovation that truly changed the world. Investors were correct about the technology but wrong about what they should pay for it. Companies with little revenue and no profits traded at astronomical valuations. The Nasdaq saw a five-fold increase between 1995 and early 2000. When the bubble burst, the fallout was severe. The Nasdaq ultimately lost almost 80% of its value. Hundreds of companies disappeared. Even industry leaders such as Cisco, Intel, and Microsoft experienced stock declines of 50% to 90%. Many investors assumed technology would continue growing forever and overlooked the simple fact that stock prices had already discounted years of future success. After peaking in March 2000, it took over 15 years for the Nasdaq to reclaim its previous high in April 2015. Often times I hear people say this time is different because unlike many internet companies in 2000, today's AI leaders are highly profitable businesses generating enormous cash flow. So, let's take a look at the Nifty Fifty as another, maybe more similar example. The Nifty Fifty era was built around the belief that a small group of dominant companies were so good that valuation no longer mattered. Investors piled into stocks such as Coca-Cola, IBM, Xerox, Polaroid, McDonald's, Sears and others. These companies were viewed as "one-decision stocks “buy them and never sell them. Investors would make excuses for the valuations because the businesses were strong. Through 1972, these firms averaged 22% annual earnings growth over the previous five-year period and had great profitability with an average return on equity over 22%. The problem was as enthusiasm grew, valuations expanded dramatically, with many trading at 40 to 60 times earnings despite an economy growing much slower. Then reality arrived. The 1973-74 bear market combined with inflation, rising interest rates, and an economic recession caused many of these stocks to fall 50% to 80%. The S&P 500 fell over 14% in 1973 and more than 26% in 1974. Most of the companies survived and remained successful businesses, but investors who paid excessive prices often waited a decade or longer to earn satisfactory returns. Today's AI boom has similarities to both periods. Like the Nifty Fifty, investors are concentrating heavily in a small number of dominant companies. Like the tech bubble, there is widespread excitement surrounding a transformational technology that is likely to reshape entire industries. However, history reminds us that even great companies can become poor investments when expectations become too optimistic. During every major market cycle, investors eventually discover the difference between a great business and a great stock. The key lesson from both the Nifty Fifty and the dot-com era is that transformative technologies often live up to their promise. What investors frequently get wrong is the price they are willing to pay for that future growth. AI may ultimately be every bit as revolutionary as investors believe. The bigger question is whether today's stock prices already reflect much of that future success. As we've learned from previous cycles, when expectations become too high, excellent results may not be enough to satisfy the market.   Private Credit Funds Are Facing High Redemption Requests Again This Quarter For the first quarter of 2026, redemption requests in several private credit funds exceeded the industry-standard 5% quarterly redemption cap. Second-quarter requests appear to be even higher. BlackRock's flagship private credit fund received redemption requests totaling 13.3% of fund assets, up from 9.3% in the first quarter. BlackRock has indicated it will continue to honor only up to 5% of redemption requests per quarter. Blackstone is facing a similar situation. Investors requested redemptions equal to roughly 10% of fund assets, and the firm also appears committed to maintaining its 5% quarterly redemption limit. Cliffwater may be facing the greatest pressure. Its $31 billion private credit fund received redemption requests totaling 17% of fund assets, far above the amount investors can currently withdraw and higher than the roughly 14% that was requested in Q1. Private credit funds have been dealing with a number of challenges, including rising loan losses, fraud concerns, and significant exposure to software companies. Many software businesses are facing pressure as investors question how artificial intelligence could impact their future growth and profitability. During BlackRock's last earnings call, CEO Larry Fink stated that institutional investors such as pension funds and insurance companies continue to allocate capital to private credit strategies. I don't want to call the man a liar, but it does seem strange that with all the problems that private credit is having I would think institutional funds would also be pulling back from investing. One would expect at least some institutional investors to become more cautious as risks increase. What concerns me most is the continued use of redemption gates. The longer funds limit withdrawals to 5% per quarter, the more investors may worry about liquidity. That concern can become self-reinforcing, leading more investors to submit redemption requests. If that happens, redemption demand could continue to rise in future quarters, creating additional pressure on the industry.   Investors Turn a Blind Eye to Fundamentals For many years, successful investing was built on analyzing company fundamentals. Today, however, there is a growing trend toward speculation and gambling. Many investors simply do not seem to care about valuation or earnings and instead believe stocks will continue to go "to the moon." Tesla is a good example. Three years ago, Wall Street analysts projected that Tesla would generate $163 billion in revenue by 2025. The actual figure came in far lower at $94.8 billion, more than 40% below expectations. Historically, missing growth expectations by such a wide margin would have been a major disappointment for investors. Yet Tesla shares have risen roughly 59% over the last three years despite falling well short of those revenue projections. There are other signs of speculation throughout the market. Thirteen years ago, there were only 39 private companies valued at more than $1 billion. Today, there are over 800. This trend highlights two important developments. First, private companies are staying private much longer, allowing early investors to capture a greater share of the value creation before public investors have an opportunity to participate. Second, investors are assigning much higher valuations to these businesses, many of which have little or no earnings and, in some cases, no positive cash flow at all. Markets can remain driven by optimism for long periods of time, but eventually fundamentals matter. The challenge for investors is determining when sentiment and speculation have pushed prices too far ahead of reality.   Headlines Say Crisis, Economic Data Says Otherwise The economy continues to show surprising resilience despite concerns surrounding higher energy prices and the conflict involving Iran. Many investors expected consumers to pull back as gasoline prices surged and headlines focused on geopolitical risks. Instead, economic data suggests the U.S. consumer remains in good shape. Retail sales in May rose 6.9% from the prior year, exceeding expectations and demonstrating that consumers are still willing to spend despite higher fuel costs. Even excluding gasoline stations, retail sales increased 5.4%, showing that spending strength was broad-based rather than simply a reflection of higher energy prices. Online sales, clothing purchases, restaurant spending, and other discretionary categories all contributed to the gains. Housing is also showing signs of stabilization. Pending home sales, which measure signed contracts on existing homes, rose 3.8% in May to the highest level in six months. The increase was well above economist expectations and marked a 4.8% improvement from a year ago. What makes these numbers particularly impressive is that they occurred while mortgage rates remained above 6% and energy prices were elevated because of Middle East tensions. Buyers and consumers appear to be adapting to a higher-rate environment rather than waiting indefinitely for lower borrowing costs. This does not mean there are no risks. Higher energy prices act like a tax on consumers, and housing affordability remains a challenge. However, the latest retail sales and housing data suggest the economy is far from rolling over. For investors, this is another reminder that economic fundamentals often matter more than headlines. While markets may focus on wars, oil prices, and geopolitical uncertainty, consumers are still spending, homes are still being purchased, and the economy continues to move forward.   The Most Important Part of the Fed Meeting Wasn't the Rate Decision The Federal Reserve's June meeting marked one of the biggest shifts in Fed communication and leadership in decades. As expected, the Fed left interest rates unchanged at 3.50%-3.75%, but the details beneath the surface were far more important. For the first time since 1951, a former Fed chair will remain on the Board after stepping down as chairman. Jerome Powell's decision to stay on as a governor creates an unusual dynamic as new Chairman Kevin Warsh begins reshaping the institution. Historically, outgoing Fed chairs have typically left the Board when their chairmanship ended. Warsh wasted little time signaling change. The Fed announced five new task forces that will review key aspects of monetary policy and Federal Reserve operations, including inflation frameworks, the Fed's balance sheet, its reliance on data sources, and productivity and jobs and the impact of artificial intelligence and other transformative technologies. The reviews are expected to produce recommendations later this year and could shape how the Fed operates for years to come. Perhaps the most noticeable change was the Fed statement itself. The policy statement was significantly shortened and went from above 300 words recorded in recent meetings to around 130 wors. It also removed much of the forward-looking language that investors had grown accustomed to under previous leadership. Language that suggested a bias toward future rate cuts was eliminated, reflecting a more data-dependent and less guidance-driven approach. The updated projections were also more hawkish than many expected. Nine of the 18 policymakers who submitted forecasts now expect at least one rate hike before year-end, while the other nine see rates remaining unchanged or moving lower. The result is a Fed that appears deeply divided on the path forward as inflation remains above target. Another major headline came from Warsh himself. Only 18 of the Fed's 19 policymakers submitted a forecast in the quarterly dot plot, with Warsh confirming that he did not provide one. As a long-time critic of forward guidance, Warsh appears to be signaling that the Fed may gradually move away from one of Wall Street's most closely watched communication tools. Half of the committee is worried inflation remains too high and believes rates may need to move higher. The other half sees little need for additional tightening. This sets the stage for Warsh's hope for a “family fight” as he believes more disagreement will lead to a better discussion so the Fed can finally deliver on price stability. While the rate decision itself was unanimous, the projections revealed a growing divide beneath the surface. The takeaway is clear: while rates didn't move, the Federal Reserve did. A shorter statement, less forward guidance, a chairman who won't publish his own rate forecast, five new policy task forces, and a committee split down the middle on the direction of rates all point to a Federal Reserve that looks very different than it did just a few months ago. The era of predictable Fed communication may be ending, and markets will have to adjust.   Financial Planning: Give More, Pay Less with Appreciated Stock One of the most tax-efficient ways to support a favorite charity or church is by donating appreciated stock instead of cash. When stock that has been held for more than one year is gifted directly to a qualified charity, the charity receives the full market value of the shares and can sell them without paying tax because it is a tax-exempt organization. The donor generally receives the same charitable income tax deduction they would have received had they donated cash, while also avoiding the realization of any capital gain. For example, if someone is considering donating either $50,000 of cash or $50,000 of appreciated stock, the charity receives the same economic benefit in either case, $50,000 that can be used to further its mission. Likewise, the donor generally receives the same $50,000 itemized charitable deduction. The difference is that if the stock was originally purchased for $20,000, donating the shares allows the donor to avoid recognizing the $30,000 capital gain. If the donor still wants to own the investment, they can use the cash that otherwise would have been donated to repurchase the shares, effectively increasing their cost basis from $20,000 to $50,000 and reducing future taxable gains.   Companies Discussed: Accenture plc (ACN)

Tim Lidman lives in Denver, CO. He has had an unconventional path to being a Tech CEO. In fact, He moved from London to Sweden when he was 18... to try to be a heavy metal rock star, trying to make it big as a drummer. To earn extra income, he got into tech sales - which went really well. Eventually, he worked with WebEx (around the time it got bought by Cisco), for Success Factors (when they got bought by SAP), and then eventually, doing his own startup (which eventually got bought by Accenture). Outside of his professional life, he is married with 2 girls. From his music years, he extracts skills that drove his success to date, which is the ability to product development and execution down the same way you do music.In the days of his first startup, Tim's solution was used by consulting firms to power client engagement. Post exit, while overseeing things at Accenture, he noticed that the whole industry was powered by Microsoft files (PowerPoint, Excel, Word, etc.) - IE, driven manually. He started to wonder if he could codify the consulting process, to remove the manual burden.This is the creation story of Clyde.SponsorsUnblockedTECH DomainsMezmoBraingrid.aiLinkshttps://meetclyde.com/https://www.linkedin.com/in/timlidman/Our Sponsors:* Check out Cash App and use my code CASHAPP10 for a great deal: https://click.cash.app/ui6m/mt82fpxl #CashAppPod. Cash App is a financial services platform, not a bank. Banking services provided by Cash App's bank partner(s). Prepaid debit cards issued by Sutton Bank, Member FDIC. See terms and conditions at https://cash.app/legal/us/en-us/card-agreement. Cash App Green, overdraft coverage, borrow, cash back offers and promotions provided by Cash App, a Block, Inc. brand. Visit http://cash.app/legal/podcast for full disclosures.* Check out Plaud AI and use my code CODESTORY for a great deal: https://plaud.aiAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

How do healthcare organizations continue innovating while protecting some of the most sensitive data in existence? Recorded at Cisco Live, this episode features Kevin Ludwig, Associate Vice President of Information Technology at XiFin, and Jeff Kronlage, CEO of CrossConnect Engineering.  Together, they provide a behind-the-scenes look at the technology infrastructure supporting healthcare billing, laboratories, pharmacies, and medical providers, where reliability, security, and automation all play a central role in keeping critical processes moving. During our conversation, Kevin explains how XiFin helps healthcare organizations process and validate complex billing workflows while reducing manual intervention wherever possible. With healthcare providers facing growing financial pressure, improving efficiency has become increasingly important, but never at the expense of security or data protection. We explore how cyber threats continue to shape decision-making across healthcare technology and why organizations are looking beyond traditional security architectures. Kevin and Jeff share their experience as one of the earliest adopters of Cisco's smart switching technology, discussing how distributed security models can simplify operations, reduce complexity, and help teams manage growing demands without constantly adding new layers of infrastructure. The conversation also examines AI adoption inside healthcare environments. While organizations are eager to benefit from automation and AI-powered capabilities, Kevin explains why guardrails, governance, and customer trust remain top priorities. We discuss the balance between innovation and risk, the importance of observability, and how teams are approaching AI with both enthusiasm and caution. Along the way, Jeff offers an insightful perspective on reducing decades of accumulated technical debt, challenging long-standing assumptions about network security, and creating simpler ways to manage increasingly complex environments. What emerges is a discussion about much more than technology. It's a conversation about trust, responsibility, and helping healthcare organizations deliver better outcomes through smarter systems and better operational decisions. If you're interested in healthcare technology, cybersecurity, AI adoption, or the future of enterprise infrastructure, this episode provides valuable insights from leaders working at the intersection of all four. As healthcare becomes increasingly connected and data-driven, how should organizations balance innovation, security, and trust?

In this sponsored episode by Cisco we explore how agentic AI is transforming network operations and what it means for your career. Robert Barton, an AI Distinguished Engineer at Cisco Systems, joins Ethan and Holly to help us snap the artificial intelligence puzzle piece into your networking picture. Together they break down the AI trifecta:... Read more »

In this sponsored episode by Cisco we explore how agentic AI is transforming network operations and what it means for your career. Robert Barton, an AI Distinguished Engineer at Cisco Systems, joins Ethan and Holly to help us snap the artificial intelligence puzzle piece into your networking picture. Together they break down the AI trifecta:... Read more »

This is episode 852. Read the complete transcription on the Sales Game Changers Podcast website. Watch the video of this podcast on YouTube here. The Sales Game Changers Podcast was recognized by YesWare as the top sales podcast. Read the announcement here. FeedSpot named the Sales Game Changers Podcast at a top 20 Sales Podcast and top 8 Sales Leadership Podcast! Subscribe to the Sales Game Changers Podcast now on Apple Podcasts! Purchase Fred Diamond's best-sellers Love, Hope, Lyme: What Family Members, Partners, and Friends Who Love a Chronic Lyme Survivor Need to Know and Insights for Sales Game Changers now! Today's show featured an interview with Jason Gallo, Global Vice President, Partner Value Accelerator at Cisco. Find Steve on LinkedIn. JASON'S TIP: "Innovation is predicated upon trust. The fundamentals of who we are as salespeople is still continuing to build that depth of relationship and never forget that aspect of what it means to be a world-class sales professional. Trust is the ultimate lever to get us to the outcome."

By Doug Green “The best learning is actually to learn by doing.” In this episode of the Technology Reseller News podcast, Doug Green speaks with Carlos Pereira, Cisco Fellow and Chief Architect, Customer Experience, about Cisco IQ and how Cisco is using AI, lifecycle intelligence and customer experience to help enterprises better understand, secure and future-proof their environments. Pereira says Cisco IQ reflects a broader shift in how customer experience is being delivered. At Cisco, CX is not treated as something that begins after a product is deployed. It spans the full lifecycle: land, adopt, expand and renew, with support embedded throughout. That lifecycle view is especially important because more than 95% of Cisco's business is indirect through partners, and more than half of Cisco's revenue is recurring. Cisco IQ, which became generally available in April, is designed to give customers visibility across the Cisco assets they own, including devices that may be approaching or past end of sale or end of support. Pereira notes that many Cisco products remain in production for years because they are reliable, but long-running environments can create risk if older software, unsupported assets or unpatched vulnerabilities remain in place. With Cisco IQ, customers can see more of their environment, understand lifecycle status, assess security exposure and receive AI-driven insights tied to their own deployments. Pereira says that visibility becomes more important as AI accelerates the speed of both operations and threats. “The speed has changed because the adversary is now faster than what you think your ability to move,” Pereira says. The podcast also looks at how Cisco IQ fits with Cisco Cloud Control, announced at Cisco Live. Pereira explains that Cisco Cloud Control brings product operations together through an agentic interface, while Cisco IQ focuses on lifecycle visibility, entitlement, assets, security assessments, performance and operational insight. Together, the two offerings reflect Cisco's effort to combine AI-driven operations with full lifecycle intelligence. A major theme of the conversation is future-proofing the enterprise. Pereira says Cisco IQ can help customers identify assets that may pose security or operational risks, including devices past last day of support or software exposed to newly discovered vulnerabilities. Cisco IQ can also support assessments around emerging concerns such as quantum readiness, including hardware, software and cryptographic materials. Pereira also discusses why Cisco designed Cisco IQ to support multiple deployment models from the beginning. Cisco IQ can run as SaaS, on-premises tethered, or on-premises air-gapped. That matters for customers with government, sovereignty, security or isolation requirements who still need AI-driven insight without compromising deployment constraints. For partners, Cisco IQ creates a new way to engage customers around lifecycle management, security posture, renewals and modernization. Instead of waiting for problems to emerge, partners can use Cisco IQ to help customers understand what they have, where risks exist and how to prioritize action. Looking ahead, Pereira says the second half of 2026 will be less about AI hype and more about applying AI to business workflows with measurable ROI. In areas such as security and identity operations, the need for speed, visibility and lifecycle intelligence will only increase. Pereira encourages Cisco customers with support entitlements to begin using Cisco IQ directly at iq.cisco.com. Because Cisco IQ includes personalized, AI-driven documentation and insights, he says the best way to understand the platform is to self-onboard and begin using it. Learn more at cisco.com Cisco IQ: iq.cisco.com  

In September 1964, a 26-year-old missile tracking technician named Donald Shrum went bow-hunting in the Tahoe National Forest. He expected to bring home some venison—he didn't expect to spend 12 grueling hours trapped in a pine tree fighting an interstellar tactical squad.Throw out everything you think you know about sophisticated, peaceful alien abductions. The Cisco Grove incident is a visceral, chaotic, retro-futuristic survival horror movie come to life. We're talking short humanoids wrapped in seamless silver gimp suits and a five-foot-tall mechanical "robot" that looked like a smoke-belching 1950s refrigerator with glowing red eyes.When the entities surrounded his tree and started blasting him with suffocating knockout gas, Shrum didn't lie down and submit. He turned into a 1960s Rambo, launching hunting arrows that detonated into showers of blue sparks against metallic torsos. When the ammo ran dry, he resorted to pure, beautiful medieval desperation—lighting his own hunting cap on fire and raining burning garbage down on his cosmic captors.Join the guys this week as they dive deep into one of the most bizarre, physical, and downright ridiculous standoffs in UFO history. Grab your burning hats, strap yourselves to a branch, and let's get weird.Find Us on Patreon! https://www.patreon.com/c/BrohiopodcastWe Live Stream All Our Episodes! youtube.com/brohiopodcastFind us on all the socials @BrohioPodcast

Evil MSI Background: BASE64 Statistical Analysis https://isc.sans.edu/diary/Evil%20MSI%20Background%3A%20BASE64%20Statistical%20Analysis/33072 Cisco Catalyst SD-WAN Manager Arbitrary File Write Vulnerability https://sec.cloudapps.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-sdwan-arbfw-c2rZvQ TSME/SME not activating on Ryzen 7 9700X https://github.com/AMDESE/AMDSEV/issues/292 Deep-Research Agents Can Be Poisoned via User-Generated Content https://arxiv.org/pdf/2605.24245 My Upcoming Classes https://www.sans.org/profiles/dr-johannes-ullrich

What does strategy look like when the technology industry seems to change every few months? Recorded at Cisco Live, this episode features Ammar Maraqa, Cisco's Chief Strategy Officer, whose role spans corporate strategy, mergers and acquisitions, venture investments, technology incubation, strategic partnerships, and long-term planning. Few people have a broader view of where the technology industry is heading and how companies can position themselves for what comes next. During our conversation, Ammar shares why he believes many organizations are thinking about AI the wrong way. Rather than viewing it as a productivity tool or cost-saving exercise, he argues that AI represents a much deeper shift in how work gets done, how organizations operate, and how leaders should think about growth. We explore Cisco's approach to strategy in an era defined by constant disruption, including why the company focuses on testing assumptions rather than repeatedly changing direction. Ammar also explains how Cisco uses a combination of building, acquiring, partnering, investing, and incubating to accelerate innovation and stay close to emerging technologies. The discussion also examines what Cisco learns from engaging with startups, entrepreneurs, venture investors, customers, and partners around the world. From advances in AI infrastructure and silicon to agent orchestration, observability, security, and enterprise adoption, Ammar shares the themes he believes deserve the closest attention from business leaders today. We also discuss one of the biggest challenges facing organizations: the growing gap between what AI is capable of and what companies are actually prepared to adopt. Ammar explains why infrastructure, data, security, workflow redesign, and organizational change remain essential ingredients for success, regardless of how powerful the underlying models become. Along the way, he offers insights into business model disruption, the future of enterprise software, and why some companies successfully reinvent themselves while others struggle to adapt. If you're interested in strategy, innovation, AI adoption, or the forces shaping the next decade of enterprise technology, this conversation provides a thoughtful perspective from someone helping guide one of the industry's most influential companies through a period of extraordinary change. How often does your organization challenge the assumptions behind its strategy, and would those assumptions still hold true if you were making them today?

AB sits down with Ammar Maraqa, Cisco's Chief Strategy Officer, to discuss topics such as turning an acquisition into a competitive advantage, fostering an agile and customer-centric culture, aligning business cases with long-term innovation goals to drive real value, and much more.

Network Is Hot Again: Stackpane's Sarbjeet Johal on Cisco Live, AI Infrastructure and Systems Economics, Podcast, Johal brings a unique mix of technical, business, and economics experience to the discussion @Doug Green, Publisher, Technology Reseller News “The network is hot again because a lot more data is traversing on it, and a lot more data will traverse on it,” says Sarbjeet Johal of Stackpane. In this Technology Reseller News podcast, Doug Green speaks with Sarbjeet Johal, Founder and CEO of Stackpane, technology analyst, cloud strategist and go-to-market specialist, about why the network has moved back to the center of the enterprise technology conversation. Johal brings an unique mix of technical, business and economics experience to the discussion. A veteran of VMware, Oracle and Dell EMC, Johal has spent decades building and deploying enterprise systems, advising technology providers, and helping buyers understand cloud strategy, infrastructure modernization and digital transformation. At Cisco Live, Johal says the biggest theme was simplification. Cisco, he argues, is working to reduce infrastructure complexity for customers operating across public cloud, on-premises systems, AI workloads and increasingly distributed environments. That includes a renewed focus on infrastructure as code, platform control, and AI-assisted tools such as Cisco IQ, which Johal says can help customers and partners troubleshoot, configure and operate Cisco environments more effectively. The conversation then turns to Johal's recent observation that “the network is hot again.” His point is that AI, real-time systems, digital services, autonomous agents, and API-driven interactions are all placing new demands on network performance. As more data moves across enterprise systems, latency, memory, compute, and connectivity become more strategically important. Johal notes that during AI inference, latency is especially critical, making the network, chips, CPUs, and memory all part of the same infrastructure story. Johal also frames the issue through systems economics. Enterprises are not simply buying more technology for the sake of modernization. They are being forced to ask whether cloud, AI, on-prem infrastructure, and automation actually pencil out in terms of total cost of ownership, return on investment, and operational value. For MSPs, channel partners, and technology providers, that creates an opportunity to help customers make better architecture decisions, not just consume more tools. The podcast closes with a look ahead to a future conversation on token economics, AI infrastructure costs, and where MSPs and channel partners can find real business opportunity as enterprise technology becomes more automated, more data-intensive, and more dependent on resilient network infrastructure. Editor's note: This podcast was recorded at Cisco Live in Las Vegas and is being posted later. With time, the conversation has become even more notable. Johal's central point — that the network is “hot again” — has only gained relevance as AI, automation, cloud infrastructure and real-time digital services continue to place new pressure on enterprise networks. Learn more: Stackpane at stackpane.com

In this episode of the Shift AI Podcast, Stephen Caines, Chief Innovation Officer and Budget Director at the City of San Jose, joins host Boaz Ashkenazy for a wide-ranging conversation on how AI is reshaping city government, public services, and the workforce at one of America's most technologically ambitious cities.Stephen shares his unconventional path from pre-med at Case Western to digital privacy law at the University of Miami, a Stanford fellowship researching surveillance AI ethics, and ultimately landing at San Jose's Mayor's Office where he now leads both innovation strategy and the city's budget. From there, the conversation dives into how San Jose is positioning itself as the AI-first city in the nation, leveraging proximity to Adobe, Cisco, Zoom, Nvidia, Apple, and Google to advance meaningful community-level change.The discussion explores the city's AI for All initiative, a public-private partnership with Anthropic, Google, and OpenAI to provide free AI education to residents and city employees alike. Stephen walks through the city's dual-track upskilling program, its approach to employee training that is purposely non-mandatory, and how San Jose is balancing top-down innovation mandates with bottom-up experimentation.Boaz and Stephen also dig into real-world deployments: object detection cameras on fleet vehicles that proactively identify potholes and road hazards before residents report them, AI translation tools expanding Spanish and Vietnamese participation in city council meetings, and the 311 customer service redesign aimed at reducing resident burden while improving satisfaction. Stephen is candid about the ROI question, how to distinguish pilots worth operationalizing from ones that generate noise without value and the long-term financial risks of AI infrastructure built on VC-subsidized pricing.The episode closes with a discussion of the GovAI Coalition, a San Jose-founded network now spanning over 900 public agencies, and Stephen's two-word vision for the future of work: chronic adaptability.Chapters[00:00] From Pre-Med to Chief Innovation Officer: Stephen's Career Journey[04:12] San Jose as the AI-First City: Population, Geography, and the Lean City Challenge[07:49] Proximity as Advantage: Partnering with Anthropic, Google, OpenAI, and Nvidia[08:23] AI for All: Free Community Education and In-Person Training Sessions[11:10] Upskilling City Employees: Voluntary Training, Two Tracks, and Retention Strategy[14:38] Balancing Top-Down and Bottom-Up Innovation[16:14] The 311 Network and Customer Service Vision: A 360-Degree View of the Resident[17:13] Object Detection on Fleet Vehicles: Proactive Pothole and Road Hazard Detection[19:34] Surprising Community Feedback and the Case for Keeping Humans at the Front Door[22:04] ROI in Government: How to Evaluate Pilots and Decide What Gets Operationalized[24:24] The Hidden Costs of AI: Staffing Realignment, Drone Programs, and VC Subsidies[26:14] Building Infrastructure You Own: The Road Safety Images Database[27:24] The GovAI Coalition: 900 Public Agencies, Shared Contracts, and Peer Learning[32:04] The Future of Work in Cities: Chronic Adaptability and the Individual JourneyConnect with Stephen CainesLinkedIn: https://www.linkedin.com/in/stephen-caines/City of San Jose Innovation Hub: https://www.sanjoseca.gov/your-government/departments-offices/information-technology/city-innovation/it-innovation-hubConnect with the GovAI CoalitionWebsite: https://www.sanjoseca.gov/your-government/departments-offices/information-technology/ai-reviews-algorithm-register/govai-coalitionConnect with Boaz AshkenazyLinkedIn: https://www.linkedin.com/in/boazashkenazy/Email: info@shiftai.fm

June 16th, 2026, Court Leader's Advantage Podcast EpisodeWhen former Google CEO Eric Schmidt, real estate executiveGloria Caulfield, and music executive Scott Borchetta praised artificial intelligence during recent commencement addresses, graduates responded not with applause but with boos. For a growing number of Americans, especially youngerworkers entering the workforce, AI is no longer viewed primarily as a tool of innovation and opportunity. Rather, it is increasingly seen as a threat to jobs, economic security, and public trust.The concerns are multifaceted. AI's massive demand forelectricity and water raises environmental questions. Its capacity to generate misinformation and "hallucinated" facts raises concerns about public trust and the integrity of information. Most significant for Generation Z, however, is the fear that AI will fundamentally alter the job market andundermine economic security.Many technology leaders appear largely unmoved by theseconcerns. Sam Altman, CEO of OpenAI, has argued that fears of widespread job displacement are overstated. Jensen Huang, CEO of Nvidia, contends that workers will not lose jobs to AI itself, but rather to workers who know how to use AImore effectively. Jeff Bezos, founder of Amazon, has similarly predicted that AI will increase productivity, create new opportunities, and improve living standards rather than simply eliminate jobs.The public remains unconvinced.A March 2026 Quinnipiac University poll found that 70% ofAmericans believe AI will reduce the number of available jobs. Among Generation Z, concern is even more pronounced, with 81% believing advances in artificial intelligence are likely to decrease employment opportunities.These concerns are fueled by highly visible workforcereductions. In 2025, Amazon announced approximately 14,000 corporate layoffs while acknowledging that AI-enabled efficiencies played at least a partial role in workforce reductions.[i] UPS announced plans to eliminate 20,000 positions. While the main reason for the reduction in force was a pullback by Amazon, CEO Carol Tomé also cited efficiencies from implementing AI.[ii] Cisco reduced itsworkforce by more than 4,000 employees while increasing its focus on AI-driven networking and security products.[iii] For many workers the message is unmistakable: artificial intelligence means fewer jobs rather than greater opportunity.Courts have historically been cautious adopters of newtechnology, and artificial intelligence appears to be no exception. Yet courts also face chronic staffing shortages, budget constraints, growing caseloads, and increasing pressure to improve efficiency. State legislatures, funding authorities, and court leaders may soon begin asking whether AI can help courts accomplish more with fewer resources.This month, we examine the growing backlash againstartificial intelligence. Is it a temporary reaction or the beginning of a lasting shift in public attitudes? Are court professionals and the public prepared for the inevitable transition? [i]Variety, "Amazon Says It Will Lay Off 14,000 Corporate Workers, Citing AI" (October 31, 2025)[ii] Gulf News, "AI Job Cuts: Major Companies Replacing Humans with Bots in 2025" (February 21, 2026)[iii] PBS (October 28, 2025), “Despite reporting record quarterly revenue of $15.8 billion — up 12% year-over-year —Cisco announced layoffs representing less than 5% of its global workforce, as the company realigned around AI-driven growth”Today's PanelTJ BeMent Court Administrator, 10th Judicial Administrative District Athens, GeorgiaRick Pierce Judicial Programs Administrator, Administrative Office of the Courts, Mechanicsburg, PennsylvaniaKarl Thoennes Court Administrator, Second Judicial Circuit Court, Sioux Falls, South DakotaCreadell Webb Diversity, Equity, and Inclusion Officer, 1st Judicial District of Pennsylvania, Philadelphia,Pennsylvania

Big thank you to Cisco for sponsoring my trip to Cisco Live Vegas In this video, we sit down to discuss the rapidly evolving world of cybersecurity, AI, and how an Agentic SOC is becoming the standard for modern defense. We cover the massive opportunity in the industry with over 4 million open cyber jobs, why mastering Splunk is a critical career move in 2026, and how you can get started for free. We also unpack emerging threats like Mythos class attackers, vulnerabilities in LLMs and MCP servers, and how the integration of Cisco Data Fabric and Splunk is helping organizations defend critical infrastructure against automated exploits at machine speed. // John Morgan's SOCIAL // LinkedIn: / johnmorganinc Guest Bio: https://newsroom.cisco.com/c/r/newsro... // Website REFERENCE // https://www.splunk.com/en_us/training... https://www.splunk.com/en_us/download... // David's SOCIAL // Discord: discord.com/invite/usKSyzb Twitter: www.twitter.com/davidbombal Instagram: www.instagram.com/davidbombal LinkedIn: www.linkedin.com/in/davidbombal Facebook: www.facebook.com/davidbombal.co TikTok: tiktok.com/@davidbombal YouTube: / @davidbombal Spotify: open.spotify.com/show/3f6k6gE... SoundCloud: / davidbombal Apple Podcast: podcasts.apple.com/us/podcast... // MY STUFF // https://www.amazon.com/shop/davidbombal // SPONSORS // Interested in sponsoring my videos? Reach out to my team here: sponsors@davidbombal.com // MENU // 0:00 - Coming up 01:00 - A new era 01:54 - Top threat vectors 03:14 - AI in cyber 04:10 - Rise of zero days 04:57 - What is Splunk? 06:32 - Agentic SOC 08:16 - Cyber roles in the future 16:01 - How agentic SOC will help 17:24 - Risks of AI agents // More attack surfaces 21:49 - Services to protect customers 25:36 - Data between Cisco and Splunk 27:39 - "AI fatigue" // What Cisco is doing differently 31:16 - Studying Splunk in 2026 32:54 - Conclusion Please note that links listed may be affiliate links and provide me with a small percentage/kickback should you use them to purchase any of the items listed or recommended. Thank you for supporting me and this channel! Disclaimer: This video is for educational purposes only. #ai #splunk #agenticsoc

Today, let's talk about how to counter the rapidly evolving cyber threats facing the transportation industry in this episode with Jaime Lightfoot of Lightfoot Labs and Joe Ohr of the NMFTA! They share the new realities of logistical vulnerabilities, moving beyond abstract ransomware fears to reveal how everyday tools like legacy maintenance software and Electronic Logging Devices (ELDs) are being weaponized as backdoors into critical transport infrastructure. They also breaks down why fleets cannot afford to play catch-up with sophisticated, state-sponsored cybercriminals who exploit software white-labeling and GPS spoofing to manipulate logbooks or orchestrate strategic cargo theft. From simple wired connections during routine garage service to complex wireless interventions while trucks are actively moving on the highway, this conversation serves as a wakeup call emphasizing that asset protection requires continuous, proactive defensive remediation and a rigorous evaluation of every digital touchpoint in your supply chain!   About Jamie Lightfoot Jaime Lightfoot is an independent security researcher, electrical engineer, and full-stack developer with over 12 years of industry experience. She specializes in embedded systems security within heavy trucking, automotive, and other critical infrastructure, helping companies assess vulnerabilities and working with their engineers to fix the gaps.    About Joe Ohr Joe Ohr has more than two decades of experience in technical operations, customer success management, customer support, and product support. Currently serving as the Chief Operating Officer for the National Motor Freight Traffic Association, Inc. (NMFTA)™, he plays a pivotal role in helping to advance the industry through digitization, classification, and cybersecurity. Prior to Ohr's role at NMFTA, he served as in numerous engineering and operations positions at Qualcomm and Eaton, and most recently held the position of Senior Vice President of Operations/Customer Experience at Omnitracs. Throughout his career, Ohr has provided strategic guidance, vision, and a roadmap for addressing long-term customer challenges. He has played a key role in accelerating revenue growth and has collaborated closely with IT, product, and engineering teams to foster stronger partnerships with strategic customers and peers. Additionally, Ohr has overseen post sales customer support and service teams, as well as operations, managing a workforce of over 400 individuals. He holds multiple certifications such as CCNA from Cisco and MCSE from Microsoft and earned his Bachelor of Science in Education from the Ohio State University. Due to his contributions to the industry, he earned a spot in the Inner Circle in 2015 and 2018 from Qualcomm and Omnitracs.  

Why This Episode MattersSabrina Maniscalco is one of the few people in quantum who has lived the full arc: two decades of academic work on open quantum systems and non-Markovian noise at Palermo, Turku, Edinburgh, and Helsinki, followed by founding Algorithmiq with three of her former researchers after an early Qiskit Camp. That trajectory matters now because Algorithmiq just had a landmark stretch — sole winner of the $2M Wellcome Leap Q4Bio prize for a quantum-enabled cancer drug discovery workflow, an €18M Series B, a global HQ move to Milan, and its Tensor Network Error Mitigation (TEM) function landing in IBM's Qiskit Functions catalog.If you're trying to make sense of where quantum software actually creates value before fault tolerance arrives — and what a credible "trajectory to advantage" looks like when paired with real clients in life sciences — this is a grounded, technically specific conversation with someone building it.EPISODE SPONSORThis episode is brought to you by Outshift, Cisco's incubation engine. The need for computational power is rapidly increasing in every sector. From drug discovery to material innovation to complex financial modeling, classical systems are reaching their absolute limits. It's time for a paradigm shift. The answer is a scalable quantum network, built on open standards and vendor-agnostic architecture. By uniting distributed quantum devices, you unlock limitless computational power.Learn more about the Cisco Universal Quantum Switch at Outshift.com.Go deeper with the blog post The switch that quantum networking has been waiting for.What We Get IntoWhy a background in open quantum systems and non-Markovian noise turned out to be unusually well-suited to running algorithms on noisy near-term hardwareThe actual science behind the Q4Bio winning workflow: simulating excited-state dynamics of a photosensitizer drug already in Phase II clinical trials, on up to 100 qubitsHow quantum-boosted DMRG works — and why it gives you a built-in benchmark against the best classical method via the bond dimensionThe tradeoff Sabrina would and wouldn't make between more qubits and lower noise, and why neutral atoms' slower sampling rates matter for chemistryWhy even fault-tolerant algorithms like quantum phase estimation still depend on getting state initialization and measurement rightAlgorithmiq's two-product structure: the Digital Quantum Interface (hardware-agnostic infrastructure) and the life sciences application frameworkHow methods built for chemistry are now opening doors into optimization and GenAI — and why that direction emerged from the work, not from a strategy deckWhat the move from Helsinki to Milan signals about the European quantum ecosystem and Algorithmiq's commercial scale-upHow an active learning pipeline is already proposing novel drug variants for synthesis in Prof. Sherri McFarland's labResources & LinksGuest & CompanyAlgorithmiq — The company Sabrina co-founded with Guillermo García-Pérez, Matteo Rossi, and Boris Sokolov; quantum software for life sciences and chemistry.Sabrina Maniscalco — University of Helsinki Research Portal — Publication record covering open quantum systems, non-Markovian dynamics, and quantum information.Sabrina Maniscalco — AI for Good Bio — Consolidated bio covering academic roles and advisory positions, including IQOQI Austria and CERN's Quantum Technology Initiative.The Q4Bio WinAlgorithmiq Wins $2M Wellcome Leap Q4Bio Prize — Company announcement detailing the photodynamic therapy workflow.Wellcome Leap — Q4Bio Prize Announcement — Funder's perspective on finalists and criteria.IBM Quantum Blog — Q4Bio Finalists — IBM's account of the workflow and quantum-classical integration.Funding & HQ MoveTech.eu — Algorithmiq's €18M Series B and Milan move — Coverage of Italy's largest quantum VC round to date.Quantum Computing Report — Algorithmiq Relocates to Milan — Strategic context including the Q4Bio win and IBM partnership.EU-Startups coverage — Investor lineup and Italy's National Quantum Strategy framing.Quantum Advantage & ToolingIBM Quantum Blog — The Dawn of Quantum Advantage — Includes Algorithmiq's TEM (Tensor Network Error Mitigation) function in the Qiskit Functions catalog.Algorithmiq & IBM Quantum Advantage Tracker — The heterogeneous materials experiment Algorithmiq and IBM put forward as a community benchmark.Silicon Republic interview with Sabrina — Useful prior context on her philosophy of using quantum to simulate quantum systems.Key Quotes & InsightsOn the foundation of the company's approach: "We learned very early what we thought were the bottlenecks of quantum computers — what you really need to worry about if you want to implement computation at scale." A direct line from Qiskit Camp Vermont to Algorithmiq's product strategy.On Q4Bio, in Sabrina's words: "This molecule is already in Phase II clinical trial. So it's not hydrogen. It's a real molecule." A useful counter to the common critique that quantum chemistry demos still live in toy-model land.On quantum-boosted DMRG (insight): In the worst case, the method matches the best classical technique; in the better case, it outperforms it — and the bond dimension tells you which regime you're in. Built-in benchmarking against the classical baseline.On the hardware tradeoff: Asked whether she'd prefer 100 higher-fidelity qubits or 200 noisier ones, Sabrina's answer is "it depends" — and the explanation about why neutral atoms' lower sampling rates limit chemistry use cases is one of the more concrete things you'll hear on platform tradeoffs.On strategy (insight): New verticals at Algorithmiq are ...

Send us Fan MailA lot of leaders talk about resilience. Far fewer can explain how to turn resilience into something a whole team can actually use when the pressure is on. Grant McGaugh sits down with Jason Gallo to trace that shift from a “power through it” mindset to authentic leadership built on tools, trust, and empowerment, shaped by Jason's Brooklyn upbringing and a Grand Canyon moment where the only goal was “five more steps.” From there, we zoom out to the biggest workplace shift many of us will ever live through: artificial intelligence. Jason lays out why AI will surpass the impact of the internet and cloud, how agentic AI changes the way work gets done, and why trust infrastructure matters as much as technical infrastructure. We talk candidly about the anxiety people feel when new tools show up overnight, the adoption curve that follows every major platform change, and what leaders can do right now with training, communication, and the humility to say, “We don't have all the answers.” Jason also shares a practical story from inside Cisco: “corporate camouflage,” the stuffed elephant that gave a room full of executives permission to be heard, and how that kind of vulnerability can unlock real innovation. We dig into mentorship as a “board of directors” (including devil's advocate mentors), representation in tech, and how Cisco is transforming its ecosystem through the Cisco 360 partner program using co-design with roughly 35,000 partners worldwide. We close with a personal reminder on prostate cancer awareness and prevention. If you found this helpful, subscribe, share the episode with a leader navigating AI change, and leave a review. What's one trust-building move your team needs to make this month?Thanks for tuning in to this episode of Follow The Brand! We hope you enjoyed learning about the latest trends and strategies in Personal Branding, Business and Career Development, Financial Empowerment, Technology Innovation, and Executive Presence. To keep up with the latest insights and updates, visit 5starbdm.com.And don't miss Grant McGaugh's new book, First Light — a powerful guide to igniting your purpose and building a BRAVE brand that stands out in a changing world. - https://5starbdm.com/brave-masterclass/See you next time on Follow The Brand!

Yesterday SpaceX became the largest company ever to go public, in an IPO that values Elon Musk's rocket-and-AI conglomerate at $1.78 trillion. But SpaceX is just the first. Anthropic and OpenAI have both filed to go public, Alphabet has just raised a record $85 billion in new stock, and Meta is reportedly considering doing the same. Goldman Sachs expects as much as $675 billion of new equity to hit the market this year.For two decades the stock market did nothing but shrink — companies stayed private, bought back their own shares, and got taken private by private equity, leaving less and less stock to go around. That era is now over. In this video I look at why all of this is happening at once, what the AI buildout has to do with it, why the SpaceX deal has been such an awkward experience for Wall Street, what the prospectus actually reveals about where the $75 billion is going, and whether any of it is a good investment — with a look back at what happened to people who bought Cisco at the top in 2000.Patrick's Books:Statistics For The Trading Floor: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://amzn.to/3eerLA0⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Derivatives For The Trading Floor: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ https://amzn.to/3cjsyPF⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Corporate Finance: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://amzn.to/3fn3rvC ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ways To Support The Channel:Patreon: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.patreon.com/PatrickBoyleOnFinance⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Buy Me a Coffee: https://www.buymeacoffee.com/patrickboyle

Podcast: Exploited: The Cyber Truth Episode: Seeing the Invisible: Asset Discovery, Segmentation, and the Reality of OT SecurityPub date: 2026-06-11Get Podcast Transcript →powered by Listen411 - fast audio-to-text and summarizationIn this episode of Exploited: The Cyber Truth, host Paul Ducklin is joined by Shane Fry, CTO of RunSafe Security, and Andrew McPhee, Solutions Manager for Industrial Security at Cisco, to examine why visibility is one of the biggest challenges in OT cybersecurity. As industrial environments become more connected, organizations are struggling to identify unknown assets, understand hidden dependencies, and secure systems that were never designed with cybersecurity in mind. McPhee explains how attackers exploit these blind spots, why traditional IT security approaches often fall short in OT environments, and how visibility and segmentation can help reduce risk. Together, they explore: Why asset visibility is the foundation of OT securityHow unknown assets and communication pathways create riskThe differences between active and passive asset discoveryWhy segmentation remains one of the most effective OT security controlsHow IT/OT convergence is expanding the attack surfaceThe role of risk tolerance and risk acceptance in security decisions From manufacturing facilities to critical infrastructure, this episode explores what security teams must understand before they can effectively protect the systems they depend on.The podcast and artwork embedded on this page are from RunSafe Security, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.

Anthropic has warned about the next phase of 'recursive AI', where agents could become capable enough to build and train models themselves without human intervention. The idea is that “self-improving” armies of agents could create purely AI-run, zero-person companies that optimise while you're sleeping. If that's the story in Silicon Valley, in the UK Katie is at London Tech Week, where everyone from Prime Minister Keir Starmer to AMD's Lisa Su is focused on tech sovereignty and the question of who owns, controls and shapes AI, not just how fast the technology is advancing. Plus, Cisco's Jeetu Patel joins Danny and Katie to discuss the potentially catastrophic consequences of the agentic era for cybersecurity, and share his insights on the trillion-dollar IPOs potentially coming from OpenAI, SpaceX and Anthropic.Is Britain losing the AI race? Get in touch: techpod@thetimes.co.ukProducer: Marnie DukeExecutive Producer: Priyanka DeladiaImage: Getty Hosted on Acast. See acast.com/privacy for more information.

As enterprises expand across multiple cloud environments, on-premise data centers, and dynamic AI workloads, traditional perimeter defenses and siloed cloud-native tools are no longer enough to secure the modern network. In this episode, Ashish sits down with Murali Rathinasamy, Senior Director of Product at Cisco, to break down the next evolution of network security: the Hybrid Mesh Firewall. Murali explains why relying solely on cloud-native firewalls can create visibility gaps, and how unified policy orchestration allows security teams to manage enforcement points seamlessly. He shares a real-world case study of how Multicloud Defense is used to eliminate manual route table configurations and achieve zero-downtime, blue-green upgrades. The conversation also tackles micro-segmentation. Murali breaks down why segmentation initiatives usually stall in "analysis paralysis" and provides a practical, agentless roadmap to reduce your attack surface "one bite at a time". Guest Socials -⁠⁠ ⁠⁠⁠Murali's LinkedinPodcast Twitter - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@CloudSecPod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:-⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Podcast- Youtube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Newsletter ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you are interested in AI Security, you can check out our sister podcast -⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ AI Security Podcast⁠Questions(00:00) Introduction(01:40) Murali Rathinasamy's Background and Role at Cisco(02:30) What is a Hybrid Mesh Firewall?(04:30) Bridging the Skills Gap: NetSec vs. CNAPP/CSPM(06:45) Case Study: Royal College of Surgeons in Ireland (RCSI)(09:40) The Limits of Cloud-Native Firewalls in a Multicloud World(13:30) Securing AI Workloads and Managing the Agent Blast Radius(15:40) Why You Need Unified Policy Orchestration Across Firewall Vendors(17:40) Why Micro-segmentation Fails: Overcoming Analysis Paralysis(24:45) How to Implement Micro-segmentation "One Bite at a Time"(31:30) Detecting and Blocking Prompt Injections with Cisco AI Defense(33:30) Where Does the Hybrid Mesh Firewall Fit in the Tech Stack?

Ever wonder how 80,000 people can upload to TikTok at the exact same time during a halftime show? Or how NFL teams are using AI to draft the next superstar? This week, Kat flies solo (while Ian is off "hosting partners"—sure, Ian, we know you're golfing) to sit down with Bryan Bedford, Cisco's Director of US Commercial Sports, Media, and Entertainment. Bryan shares his hilarious journey from college football coach to tech leader, why massive sports brands actually have tiny IT teams, and how Cisco, NVIDIA, and Splunk are teaming up to build the biometric, hyper-personalized stadium of the future. Plus, Kat teaches a tech executive how to use the 'Do Not Disturb' button. If you want to see what that tech looks like in action, click here: https://www.cisco.com/site/us/en/solutions/industries/sports-media-entertainment/index.html#tabs-9da71fbd27-item-1288c79d71-tab

How prepared is your organization for threats that move faster than people can respond? At Cisco Live, I sat down with Bhaskar Jayakrishnan, Senior Vice President of Engineering for Cisco Customer Experience, to discuss a reality facing technology leaders everywhere: attackers are increasingly operating at machine speed while many organizations are still relying on processes designed for a very different era. Our conversation explores what Cisco describes as the defense velocity gap and why traditional approaches to patching, remediation, and risk management are becoming harder to sustain as environments grow more complex. Bhaskar explains how organizations are shifting from reactive security practices toward more continuous approaches that focus on visibility, resilience, and operational readiness. We also discuss one of the biggest long-term challenges facing the industry: quantum computing. While many organizations still view quantum threats as a future problem, Bhaskar explains why preparations need to begin now, particularly when it comes to crypto agility and the risks associated with "harvest now, decrypt later" attacks. Another major theme throughout our discussion is AI. Bhaskar shares lessons learned from Cisco's own experience deploying AI across a workforce of more than 20,000 employees and explains why successful adoption often depends less on the technology itself and more on data quality, workflow design, and organizational trust. Along the way, we explore resilience, modernization, automation, and what it takes to prepare an organization for a future where both opportunities and threats are arriving faster than ever before. If you're trying to understand how cybersecurity, AI, and quantum computing are reshaping the responsibilities of today's technology leaders, this conversation offers practical insights from someone helping organizations tackle those challenges every day. Are today's security and operational models ready for a world moving at machine speed, or is it time for a completely different approach?

In 2000, Toys R Us paid Amazon $50 million a year to sell their toys online. It looked like a great deal. The company that defined toy retail for two generations was solving the internet problem in one move. Four years later they were suing each other. Seventeen years later Toys R Us was gone. Every store closed. Every job lost. And every step of what happened was visible from the day the deal was signed. Nobody at Toys R Us saw it. What Is Second-Order Thinking? First-order thinking asks what happens next. Second-order thinking asks what happens to the people who see what happened next. The skill isn't caution. It's the willingness to keep looking after the room has stopped. Inside HP, 2006 In 2005, HP launched Halo, a premium telepresence system co-developed with DreamWorks. For a brief period it reported into my organization. The next year, Cisco launched TelePresence and went straight at us. I called the HP team closest to Cisco and asked what they made of it. The answer was reassuring: Cisco is aiming down-market, we're fine. We were premium; they were chasing volume. That answer satisfied the room. It did not satisfy me. The room was asking "will Cisco hurt Halo?" That was the wrong question. The right one was sitting underneath: why did our partner of twenty years decide to do this without us? Nobody had an answer to that one. The HP team didn't think it was the question. They were focused on the product collision, and I kept coming back to the partnership. A company that had cooperated with us for two decades had just decided they didn't need to anymore. The product was the surface. The relationship had quietly ended, and we were the only ones who hadn't noticed. Three years later, Cisco launched a direct attack on HP's core server business with Unified Computing System. HP responded by acquiring 3Com and going after Cisco's core networking business. A twenty-year alliance ended in under two years. Neither side ran the second-order analysis at any point along the way. By the time the right question got asked, the partnership was already gone. The Three Skills These three skills stand on their own. Each one solves a different problem most decision frameworks miss. The first picks up signals before there's even a decision to analyze. The second uncovers what's actually driving the other party's timing. The third shows you what people will do once they see your decision land. If you've watched the November 2025 episode on the basics of second-order thinking, these skills add to that foundation. If you haven't, you can still apply all three starting today. Sense the Weak Signal, Not the Loud Event Most failures don't announce themselves. The loud event, the launch, the lawsuit, the lost customer, is usually the visible end of something that started much earlier as a quiet shift somebody noticed and explained away. A weak signal is a small piece of information that doesn't fit the story you're already telling. A customer's casual comment that contradicts your data. A team member's evasive answer in a status meeting. A supplier missing a deadline they've never missed before. The reflex is to make it fit the story you already believe. The skill is to refuse. Go looking before you have one. Once a week, scan three places where weak signals live. Customer-facing teams. Data points that surprised you and got brushed off. Topics that smart people you respect are paying attention to, but you aren't. You're not looking for problems. You're looking for things that don't quite fit. Name the thing that doesn't fit. Be specific. "Their CFO made a comment about the budget that didn't match what we were told last quarter." Not "something feels off." The more specific the signal, the more useful it becomes. List the stories that would make the signal make sense. At least three. Force yourself to consider explanations that don't fit your current assumptions. Ask which of those stories you'd act on if it were true. If one of them would change a decision you're about to make, that's the signal you can't afford to ignore. Find one more data point before you decide. A single signal can mislead. Two signals pointing the same direction is usually real. The Cisco TelePresence launch was a weak signal about the partnership. The team read the product. I read the relationship. Neither of us pushed it far enough. Ask "Why Now" Before "What's Next" Most people jump straight to the future: what will the other party do next? That's the wrong starting question. Ask why now first. Why is this happening now, when it could have happened a year ago? The timing tells you what changed in their world, and that change tells you what they're likely to do next, often more reliably than asking the question directly.   State the move that just happened. A competitor launched a product. A regulator opened an inquiry. A customer asked for a discount. Name it plainly. Ask what changed. What was true a year ago that isn't true now? What can they do today that they couldn't do then? Their capability, their pressure, their read of you, their read of the market. Identify the shift. Use the change to predict their next move. What's the natural follow-on from the thing that made this move possible? That's usually where the real consequence lives.   Cisco didn't enter telepresence in 2006 because telepresence was suddenly interesting. They entered because they'd decided the partnership with HP no longer constrained them. "Why now" would have surfaced that. "What's next" wouldn't have caught it in time. Watch the Response, Not the Result Your decision produces a result. The result triggers a response from everyone watching, your competitors, your customers, your team, your investors. Most analysis stops at the result. The response is where the actual consequence lives.   Toys R Us could have predicted that Amazon would sell more toys. That was the result. What they didn't predict was Amazon's response: opening the platform to third-party sellers, learning the toy business, and using the data to compete directly. By the time Toys R Us understood the response, Amazon had already replaced them. State the immediate result of your decision in one sentence. What will be visibly different in the world after you act? List who can see that result. Be specific. Name people if you can, not categories. For each one, ask: what does the result tell them about you? Your priorities, your weaknesses, your appetite. The result is information about you they didn't have before. Ask what they're now in a position to do that they weren't before. The result changes what's available to the other actors, not just the market. Identify the responses you can't undo. A customer who loses trust. A competitor that smells weakness. A regulator who opens a file. Those are the ones to model carefully. HP launching Halo was the result. Cisco entering TelePresence was the response. By the time anyone at HP said the word "over," the partnership had been over for three years. Practice Exercise: Run All Three on One Decision Pick one decision you're currently working through. Run the three skills against it in sequence. Weak signal. What have you noticed in the last 90 days connected to this decision that doesn't quite fit your current story? Don't explain it away. Name it. Why now. What changed in the world recently that's making this decision feel urgent now? Was that change visible six months ago? Watch the response. Who will see the result of this decision, and what does it tell them about you that they didn't know before? The first time you run this, you'll miss things. That's normal. The skills sharpen with repetition. The fifth time you sit down with a real decision and work through all three, you'll catch signals that other people in the room aren't even seeing yet. That's what improvement looks like. If any of the three turns up something the room hasn't discussed, you've found the work that needs to happen before the decision is made. Take what you found and run it through the two skills from the November 2025 episode. Map how people will respond. Ask "and then what?" two or three more times. All five skills work as one system. The link to the November episode is in the description below. Most second-order failures do not arrive as surprises. They arrive as something somebody noticed once, didn't have a way to act on, and explained away.

The federal government's human capital arm added several new industry partners to its Tech Force hiring effort Monday as the program begins to take root in agencies. The new batch of companies is Cisco, Scale AI, Wiz, Arista Networks, Armada, Cognition AI, Cognizant, Payward, and Moveworks, per a release from the Office of Personnel Management. They join a cohort of a couple dozen companies that are already part of the program's industry support, including OpenAI, Google Public Sector, xAI, and Palantir. “These partnerships bring world-class engineering expertise into public service and create a stronger pipeline between industry and government at a moment when modernizing federal technology has never been more important,” OPM Director Scott Kupor said in a written statement Monday. According to the release, the companies will provide training resources and programming, as well as their own employees who they'll nominate for temporary federal service. The Daily Scoop Podcast is available every Monday-Friday afternoon. If you want to hear more of the latest from Washington, subscribe to The Daily Scoop Podcast  on Apple Podcasts, Soundcloud, Spotify and YouTube.

SpaceX is going public and everyone is talking about it. Neighbors, friends, group chats... the excitement is real. But most of the conversation is missing the most important question: what are you actually paying for? In this episode of Financial Commute, host Chris Galeski sits down with CEO and Partner Jeff Sarti to break down the SpaceX IPO from a valuation standpoint. Recorded on June 8th, this is the conversation the headlines are not having. Chris and Jeff walk through what price to sales ratio means, why a $10 stock is not cheap and a $1,000 stock is not expensive, and what history tells us about companies trading at extreme valuations. The story is incredible. The price is another matter entirely.  Key Takeaways Stock price tells you nothing about value. A $10 stock is not cheap and a $1,000 stock is not expensive. What matters is the underlying valuation — and SpaceX at roughly 100 times price to sales is extreme by any historical measure. A great company is not automatically a great stock. Rivian grew its revenue 100 times over and is still down 90% from its IPO price. Cisco was the largest company in the world during the dot-com boom and collapsed 90% — taking 27 years to recover. Growth does not guarantee returns at any price. 100 times price to sales is not a growth premium — it is speculation. The S&P 500 is currently at an all-time high of roughly 3.5 times price to sales. SpaceX is trading at nearly 30 times that. Even if SpaceX fell 80% from its IPO price, it would still be more expensive than Nvidia on a price to sales basis. Volatility is near-certain even in good outcomes. Facebook fell 50% within six months of its IPO before going on to become one of the most valuable companies in the world. Buyers of the SpaceX IPO should expect a similarly turbulent ride regardless of the long-term outcome. 

Take a Network Break! Our Red Alert covers a critical Android vulnerability that could lead to local privilege escalation to root. On the news front, we dig into Cloud Control, Cisco’s ambitious AI ops platform that spans its networking, security, compute, observability, and collaboration portfolios. We also talk about Cisco Live Protect, which provides pre-patch... Read more »

What if the secret to staying irreplaceable in the age of AI isn't working harder — it's getting more creative? That's the central argument of SuperCreativity: Augmenting Human Creativity in the Age of Artificial Intelligence, the new book by global keynote speaker James Taylor. In this episode of the Business of Story, Park Howell sits down with James to explore how the world's top communicators are using AI not to replace their stories — but to tell them with far greater precision, resonance, and impact. From managing Rolling Stones members at the Royal Albert Hall to speaking for Apple, Cisco, L'Oreal, and PwC across 25+ countries, James brings a rare combination of creative instinct and strategic intelligence to the AI conversation. In this episode you'll discover: • Why AI is fueling a New Roaring Twenties — and what that means for entrepreneurs and business leaders • How James uses psychometric AI analysis to profile audiences before he ever steps on a call or stage • The 250-story story bank system that powers his hyper-personalized keynotes • Why your emotional promise matters even to the most analytical, data-driven audiences • What a live StoryCycle Genie® brand analysis revealed about James's Visionary Magician archetype and emotional promise of "possibility" • The standing ovation story from a billionaires' bank in the UAE that proves emotional storytelling transcends every culture and industry • How to build a speaker brand with the same discipline James learned managing rock stars About James Taylor James Taylor M.B.A., F.R.S.A. is an internationally recognized keynote speaker on creativity, innovation, and AI. He has spoken for Fortune Global 500 companies including Apple, Cisco, Deloitte, Accenture, L'Oreal, EY, Visa, and Dell, and was recently the subject of a 30-minute BBC documentary. He has personally interviewed over 750 of the world's leading creative minds and reached hundreds of thousands of people in 120+ countries. He is a Fellow of the Royal Society of Arts — alongside Benjamin Franklin, Bob Dylan, and Nelson Mandela. His new book is SuperCreativity: Augmenting Human Creativity in the Age of Artificial Intelligence. Connect with James Taylor:

Matthew Lamoureux joins the conversation to explore a different kind of leadership and life challenge—one that quietly shapes careers long before people realize it: the ability (and willingness) to reinvent yourself before disruption forces it on you.We started with a simple tension.Most people don't fail because they're not capable.They fail because they stay too long in systems that are already changing beneath them.Matthew brings decades of experience across consulting, investing, and venture capital in Silicon Valley, where reinvention isn't a concept—it's a requirement for survival.This isn't a conversation about trends.It's about how the future actually forms, and how individuals and organizations decide whether they will adapt early or react too late.We explore what “inevitable futures” actually mean, why popularity is not a signal of truth, how major technological shifts unfold over decades, and why most value in disruption is captured by outsiders—not incumbents.And most importantly—what it means to choose your role before the system chooses it for you.TL;DRThe future is shaped by inevitability, not popularityMajor shifts take decades, not cyclesDigitalization of value (not just communication) is still incompleteMost disruption value is captured by new entrants, not incumbentsBlockchain and AI are part of broader infrastructure shifts, not standalone trendsThe real decision is what role you choose in the changeTiming matters as much as directionIf you're too early, you fail; if you're too late, you adapt under pressureMemorable Lines“The future is not driven by popularity—it's driven by inevitability.”“You don't want to build companies the world will reject in five years.”“We digitalized communication, but not value transfer.”“Established companies rarely capture the value of disruption.”“Most people don't fail from lack of intelligence—they fail from timing.”“You either reinvent yourself ahead of the curve, or after it's forced on you.”“If computers can do what you do better, reinvention is no longer optional.”GuestMatthew LamoureuxInvestor and venture capitalist with decades of experience in Silicon Valley consulting, strategy, and asset management.Former advisor to major global enterprises including Microsoft, Google, Intel, Cisco, Visa, and Bank of America.Currently focused on backing exponential technologies shaping long-term global systems, including AI, blockchain, life sciences, robotics, and digital infrastructure.Why This MattersMost people think disruption is a moment.It's not.It's a slow restructuring of how systems actually work.And because it moves slowly, most people underestimate it—until it becomes obvious too late.We already lived through one major shift: the digitalization of communication and content.What's still unfolding is bigger: the digitalization of value, systems, energy, health, and infrastructure.And that creates a personal question most people avoid asking:Do I want to be inside the system being disrupted?Or outside it building what comes next?Because reinvention isn't just a strategic advantage anymore.It's becoming a requirement for participation. Get full access to Second Life Leader at www.dougutberg.com/subscribe

Take a Network Break! Our Red Alert covers a critical Android vulnerability that could lead to local privilege escalation to root. On the news front, we dig into Cloud Control, Cisco’s ambitious AI ops platform that spans its networking, security, compute, observability, and collaboration portfolios. We also talk about Cisco Live Protect, which provides pre-patch... Read more »

Take a Network Break! Our Red Alert covers a critical Android vulnerability that could lead to local privilege escalation to root. On the news front, we dig into Cloud Control, Cisco’s ambitious AI ops platform that spans its networking, security, compute, observability, and collaboration portfolios. We also talk about Cisco Live Protect, which provides pre-patch... Read more »

Episode web page: https://bit.ly/3QpApnq Episode summary: In this special recap episode of Insights Unlocked, host Nathan Isaacs shares key insights and standout moments from Crafted Seattle, UserTesting's annual event for product leaders, designers, researchers, and customer experience professionals. As AI dramatically accelerates the speed of product creation, speakers across the event explored a critical question: if anyone can build almost anything, what becomes the true competitive advantage? The answer, according to leaders from UserTesting, Cisco, McDonald's, and other leading organizations, is a deeper understanding of people. Featuring perspectives from Eric Johnson, Baran Erkel, Travis Isaacs, Jessa Parette, Jason Giles, Eliel Johnson, Brad Carrera, Nikkia Reveillac, Jennifer Aaker, and others, this episode examines how AI is reshaping the roles of researchers, designers, and product teams. From maintaining human judgment in an automated world to creating alignment through customer understanding, the conversation highlights why empathy, curiosity, storytelling, and human connection remain essential as technology evolves. The episode also explores how researchers can expand their influence, why asking better questions matters more than having more data, and how organizations can use AI to amplify human creativity rather than replace it. You'll learn: Why understanding customer needs becomes more important as AI makes building easier How designers and researchers can create greater impact by focusing on judgment, decision-making, and influence Why human-centered research remains a competitive advantage in the age of AI How AI is shifting teams from makers to supervisors and strategic decision-makers Why researchers should focus on creating shared understanding, not just delivering reports How asking better questions can be more valuable than collecting more data Why alignment—not just speed—is becoming a critical success factor for organizations How empathy, authenticity, creativity, and storytelling help teams thrive alongside AI Why human connection and purpose remain essential in a technology-driven future Resources & links Crafted Seattle presentations on demand via UserTesting Insights+ (https://www.usertesting.com/insight-plus) Nathan Isaacs on LinkedIn (https://www.linkedin.com/in/nathanisaacs/) Learn more about Insights Unlocked: https://www.usertesting.com/podcast

What is the office actually for? It's a question that many organizations are still wrestling with as they balance flexibility, collaboration, employee expectations, and business performance. At Cisco Live, I sat down with Christian Bigsby, Senior Vice President of Workplaces at Cisco, to discuss how the role of the workplace is changing and why measuring success by attendance alone may no longer make sense. Christian shares how Cisco has rethought the relationship between people, place, and technology, bringing together teams that traditionally operated separately to create a more connected workplace experience. Rather than focusing on how many employees are in the office, the conversation centers on the outcomes that become possible when people come together with purpose. We explore how hybrid work has reshaped workplace strategy, why employee experience has become a business priority, and how organizations can create environments that support collaboration, innovation, learning, and culture. Christian also explains why flexibility should not be viewed as a perk but as an important part of helping employees do their best work. The conversation also looks at the growing role of AI in workplace operations. From forecasting occupancy and improving space utilization to helping organizations make smarter decisions about resources and services, AI is helping workplace leaders respond to a level of variability that traditional operating models were never designed to handle. Along the way, Christian offers thoughtful insights on leadership, trust, organizational culture, and why the future workplace may have more in common with a dynamic service than a fixed location. If you've ever wondered whether the future of work is about where people work, how they work, or why they come together in the first place, this conversation offers plenty to think about. What do you believe makes a workplace valuable in 2026, attendance, experience, outcomes, or something else entirely?

Microsoft's Coreutils for Windows https://isc.sans.edu/diary/Microsoft%27s%20Coreutils%20for%20Windows/33048 Cisco Unified Communications Manager Server-Side Request Forgery Vulnerability CVE-2026-20230 https://sec.cloudapps.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-cucm-ssrf-cXPnHcW Firmware Update for Acer Connect W6x Router https://community.acer.com/en/kb/articles/19672 OAuth marketplace apps keep access after publishers vanish https://www.helpnetsecurity.com/2026/06/04/oauth-marketplace-apps-audit/ My Upcoming Classes https://www.sans.org/profiles/dr-johannes-ullrich

What happens when the newest users on your network aren't people at all? At Cisco Live, I sat down with Aruna Ravichandran, SVP and CMO for AI, Networking, and Collaboration at Cisco, to discuss a shift that could change how organizations think about networks, operations, and AI over the coming years. For decades, enterprise networks have been built around human behavior. People work predictable hours, take holidays, and generally follow familiar patterns. AI agents are different. They work continuously, analyze information around the clock, and increasingly act as digital teammates that can help organizations monitor, troubleshoot, and improve operations at a scale that would be impossible for humans alone. During our conversation, Aruna explained why AI is no longer just an application discussion. As organizations deploy more digital teammates, networks must support a new type of user that never sleeps, never stops learning, and can help identify issues before employees even arrive at work. We explore Cisco's vision for AgenticOps, the role of Cisco Cloud Control as a unified command center, and how AI-driven operations are helping reduce complexity for teams already overwhelmed by alerts, dashboards, and operational overhead. Aruna also shared her perspective on one of the biggest challenges facing the industry today: trust. While the technology is advancing rapidly, organizations need confidence that their digital teammates can make reliable recommendations and support critical operations without removing human oversight. That balance between automation and accountability sits at the heart of Cisco's approach. We also discuss why domain expertise still matters in the age of AI, how Cisco is drawing on decades of networking experience to build purpose-built models, and why the next few years may see every IT professional supported by an expanding team of digital coworkers. If you've been wondering how AI will move beyond chat interfaces and become part of everyday operations, this conversation offers an interesting look at where networking, automation, and AI are heading next. How many digital teammates do you think you'll be working alongside in the next few years, and what tasks would you trust them to handle first?     Useful LInks Anurag Dhingra's blog DJ Sampath's blog Aruna's LinkedIn post re. The AgenticOps stats she mentioned Press Release 

Scott is joined by Brett Lykins, a Senior Systems Development Engineer at Amazon. Brett works with software-defined infrastructure built around SONiC (Software for Open Networking in the Cloud). Together they dig into what it's actually like to use, maintain, and operate a network this way. They also discuss not just the architecture, but the day-to-day... Read more »

The Five Eyes issue a rare joint warning on China. Jen Easterly weighs in on Trump's AI EO. Researchers warn everyday notifications can become AI attack vectors. IronWorm is a sophisticated Rust-based infostealer targeting software developers. Cisco patches a critical vulnerability in its Unified Communications Manager platform. Anthropic maps AI-enabled cyber activity to the MITRE ATT&CK framework. Authorities dismantle an online counterfeit identity marketplace. Our guest is Jason Kikta, CTO from Automox, discussing AI vulnerabilities, real risk, and the speed problem. An extortion crew is forced to open a customer support ticket. Remember to leave us a 5-star rating and review in your favorite podcast app. Miss an episode? Sign-up for our daily intelligence roundup, Daily Briefing, and you'll never miss a beat. And be sure to follow CyberWire Daily on LinkedIn. CyberWire Guest Today on our Industry Voices segment, we are joined by Jason Kikta, CTO from Automox, who is discussing AI vulnerabilities, real risk, and the speed problem. If you enjoyed this conversation, check out the full interview here.  Selected Reading⁠ U.S. and intelligence allies issue rare joint warning about China (Washington Post) Safeguarding Our Secrets (MI5) Opinion | The Government Is Finally Taking A.I. Risk Seriously (New York Times) CISA directive for AI executive order to be released this week, Andersen says (The Record) Gemini Voice Assistant Hijacked via Messaging Notifications (SecurityWeek) IronWorm: Shai-Hulud's rustier cousin (JFrog Security Research) Cisco warns of critical Unified CM flaw with PoC exploit code (Bleeping Computer) Mapping AI-enabled cyber threats: Insights from the LLM ATT&CK Navigator (Anthropic) Police dismantles fake ID marketplace used by migrant smugglers (Bleeping Computer) Over 1.4 Million Accounts Disrupted in Cybercrime Crackdown (SecurityWeek)  'Dumbass' criminal breaks the 'first rule of ransomware club' (The Register) Share your feedback. What do you think about CyberWire Daily? Please take a few minutes to share your thoughts with us by completing our brief listener survey. Thank you for helping us continue to improve our show.   Want to hear your company in the show? N2K CyberWire helps you reach the industry's most influential leaders and operators, while building visibility, authority, and connectivity across the cybersecurity community. Learn more at sponsor.thecyberwire.com. The CyberWire is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices

Do you want to turn your skills into a business that funds your freedom? In this episode, Zander Fryer joins Russ and Joey to discuss the blueprint for creating a coaching business that generates sustainable income while supporting financial freedom. He shares practical steps for turning expertise into a scalable business, balancing active income with long-term wealth creation. Zander explains how to structure services, identify ideal clients, and leverage time effectively to maximize revenue. He also discusses the mindset shifts required to transition from trading time for money to building a system that supports autonomy. He mentions proven strategies for coaches at all levels. Tune in to discover how to bridge the gap between active work and passive wealth, and learn the steps to turn your coaching expertise into a business that works for you.Top three things you will learn: -How to structure a coaching business to generate reliable active income that can fund financial freedom-Strategies for scaling a coaching business while maintaining client acquisition and retention-Practical methods to bridge the gap between active income and passive income About Our Guest:Zander Fryer is a best-selling author, internationally renowned speaker, and host of the iTunes top podcast Sh*t You Don't Learn In College. After quitting his high-paying job as a Cisco engineer, he launched High Impact Coaching to inspire and empower entrepreneurs to build successful businesses while adding value to the world. Zander's passion to shake this world up is creating a movement, and he is praised as “the next generation leader” by #1 best-selling author Jack Canfield. His mission is to inspire and empower an army of conscious leaders and coaches to change the face of our world for good. Disclaimer: The opinions expressed on this podcast are solely those of the hosts and guests and do not constitute financial advice. Always consult a licensed professional for financial decisions.This episode is sponsored by a podcast show partner. We may receive compensation if you use links or services mentioned in this episode.The hosts may have a financial interest in the programs or services mentioned in this episode.Connect with Zander Fryer:- YouTube - https://www.youtube.com/@coachzanderfryer- Website - https://zanderfryer.com/Build a Passive Income Machine in 3 Steps:Here's how to flip the script and start building wealth the way the wealthy do