Intentional deception made for personal gain or to damage another individual
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Welcome to the award-winning FCPA Compliance Report, the longest-running podcast in compliance. Today, Tom Fox welcomes Peter Schablik, a seasoned professional in risk consulting and fraud detection. Peter shares his extensive background, including his transitions from consulting to audit and his experiences across various industries. The discussion explores the significance of fraud detection, critical thinking, and strategic fraud mitigation. Key topics include the role of management in fraud prevention, common misconceptions about fraud controls, technological and management overrides, and industry-specific fraud patterns. Peter also emphasizes the importance of basic controls, such as the segregation of duties, the need for a clear tone at the top, the effective use of hotlines, and thorough third-party risk assessments. Peter emphasizes the value of instinctual and behavioral analysis in fraud investigations, providing actionable advice for strengthening an organization's fraud prevention program. Key highlights: The Importance of Fraud Detection and Mitigation Common Misconceptions About Fraud Patterns of Fraud Across Industries Segregation of Duties and Basic Controls Investigative Strategies and Behavioral Cues Strengthening Fraud Prevention Programs Resources: Peter Schablik on LinkedIn Want to Catch a Fraudster? Think Like a Cop Tom Fox Instagram Facebook YouTube Twitter LinkedIn For more information on the use of AI in Compliance programs, see my new book, Upping Your Game. You can purchase a copy of the book on Amazon.com Learn more about your ad choices. Visit megaphone.fm/adchoices
This week we discuss telecom industry trends with SAP's Sandeep Chowdhury, covering 5G adoption, AI-powered network optimization, the promise of 6G, and sustainability challenges. Learn how telecom supply chains are evolving with digital transformation, circular economy practices, and integrated ecosystems to meet future connectivity and environmental demands. Come join us as we discuss the future of Supply Chain!
Join host Shruthi to discover how organizations use GPU-accelerated computing on AWS. Container Specialist Re Alvarez Parmar shows how Rivian optimizes GPU usage for autonomous vehicles with Amazon EKS. AWS Financial Services expert Sudhir Kalidindi explains real-time fraud detection processing 100B+ events annually. Learn architectural patterns and tools to maximize performance while controlling costs for AI workloads and next-gen applications. Learn More: AWS News Blog: New Amazon EC2 P6-B200 instances powered by NVIDIA Blackwell GPUs to accelerate AI innovations: https://aws.amazon.com/blogs/aws/new-amazon-ec2-p6-b200-instances-powered-by-nvidia-blackwell-gpus-to-accelerate-ai-innovations/ Accelerating Fraud Detection in Financial Services with NVIDIA RAPIDS on AWS: https://github.com/aws-samples/ai-credit-fraud-workflow
Pwn2Own 2025, Berlin results. PayPal seeks a "newly registered domains" patent. An expert iOS jailbreak developer gives up. The rising abuse of SVG images, via JavaScript. Interesting feedback from our listeners. Four classic science fiction movies not to miss. How OpenAI's o3 model discovered a 0-day in the Linux kernel Show Notes - https://www.grc.com/sn/SN-1028-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 shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: material.security outsystems.com/twit bigid.com/securitynow bitwarden.com/twit joindeleteme.com/twit promo code TWIT
Pwn2Own 2025, Berlin results. PayPal seeks a "newly registered domains" patent. An expert iOS jailbreak developer gives up. The rising abuse of SVG images, via JavaScript. Interesting feedback from our listeners. Four classic science fiction movies not to miss. How OpenAI's o3 model discovered a 0-day in the Linux kernel Show Notes - https://www.grc.com/sn/SN-1028-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 shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: material.security outsystems.com/twit bigid.com/securitynow bitwarden.com/twit joindeleteme.com/twit promo code TWIT
Pwn2Own 2025, Berlin results. PayPal seeks a "newly registered domains" patent. An expert iOS jailbreak developer gives up. The rising abuse of SVG images, via JavaScript. Interesting feedback from our listeners. Four classic science fiction movies not to miss. How OpenAI's o3 model discovered a 0-day in the Linux kernel Show Notes - https://www.grc.com/sn/SN-1028-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 shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: material.security outsystems.com/twit bigid.com/securitynow bitwarden.com/twit joindeleteme.com/twit promo code TWIT
Pwn2Own 2025, Berlin results. PayPal seeks a "newly registered domains" patent. An expert iOS jailbreak developer gives up. The rising abuse of SVG images, via JavaScript. Interesting feedback from our listeners. Four classic science fiction movies not to miss. How OpenAI's o3 model discovered a 0-day in the Linux kernel Show Notes - https://www.grc.com/sn/SN-1028-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 shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: material.security outsystems.com/twit bigid.com/securitynow bitwarden.com/twit joindeleteme.com/twit promo code TWIT
Pwn2Own 2025, Berlin results. PayPal seeks a "newly registered domains" patent. An expert iOS jailbreak developer gives up. The rising abuse of SVG images, via JavaScript. Interesting feedback from our listeners. Four classic science fiction movies not to miss. How OpenAI's o3 model discovered a 0-day in the Linux kernel Show Notes - https://www.grc.com/sn/SN-1028-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 shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: material.security outsystems.com/twit bigid.com/securitynow bitwarden.com/twit joindeleteme.com/twit promo code TWIT
Pwn2Own 2025, Berlin results. PayPal seeks a "newly registered domains" patent. An expert iOS jailbreak developer gives up. The rising abuse of SVG images, via JavaScript. Interesting feedback from our listeners. Four classic science fiction movies not to miss. How OpenAI's o3 model discovered a 0-day in the Linux kernel Show Notes - https://www.grc.com/sn/SN-1028-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 shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: material.security outsystems.com/twit bigid.com/securitynow bitwarden.com/twit joindeleteme.com/twit promo code TWIT
Pwn2Own 2025, Berlin results. PayPal seeks a "newly registered domains" patent. An expert iOS jailbreak developer gives up. The rising abuse of SVG images, via JavaScript. Interesting feedback from our listeners. Four classic science fiction movies not to miss. How OpenAI's o3 model discovered a 0-day in the Linux kernel Show Notes - https://www.grc.com/sn/SN-1028-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 shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: material.security outsystems.com/twit bigid.com/securitynow bitwarden.com/twit joindeleteme.com/twit promo code TWIT
Pwn2Own 2025, Berlin results. PayPal seeks a "newly registered domains" patent. An expert iOS jailbreak developer gives up. The rising abuse of SVG images, via JavaScript. Interesting feedback from our listeners. Four classic science fiction movies not to miss. How OpenAI's o3 model discovered a 0-day in the Linux kernel Show Notes - https://www.grc.com/sn/SN-1028-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 shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: material.security outsystems.com/twit bigid.com/securitynow bitwarden.com/twit joindeleteme.com/twit promo code TWIT
Former employees of the General Services Administration's 18F digital tech consultancy team filed an appeal Wednesday challenging their alleged wrongful termination and the “targeted” shuttering of the program by the Trump administration's Department of Government Efficiency earlier this year. The employees, represented by the law firm Mehri & Skalet, submitted a class-action appeal with the U.S. Merit Systems Protection Board to request a hearing and have their removal reversed. Former 18F leaders Lindsay Young, Miatta Myers, Christian Crumlish, James Tranovich and Kate Fisher are named as appellants, representing that larger class of about 80 terminated permanent and term employees from the team who served for more than a year. The group claims that GSA — along with the Office of Personnel Management, DOGE and the Office of Management and Budget — lacked a “valid reason … for the [reduction in force] targeting 18F” that took place Feb. 28, and claimed the action was a result of “retaliation.” Fannie Mae, the government-sponsored enterprise overseen by the Federal Housing Finance Agency, is enlisting data analytics giant Palantir in a new partnership aimed at cracking down on mortgage fraud. Under the agreement, Palantir's technology will be deployed to uncover fraud in mortgage packages before they reach Fannie Mae. Priscilla Almodovar, president and chief executive officer of Fannie Mae, said the tech will allow the organization “to see patterns quicker.” “We're going to be able to identify fraud more proactively, as opposed to reactively,” Almodovar said during a press conference Wednesday in Washington, D.C. “We're going to be able to understand the fraud and stop it in its tracks. And I think over time, this really becomes a deterrent for bad actors, because we're creating friction in the system when they do bad things.” FHFA Director Bill Pulte, who also serves as chairman of the Fannie Mae board, said the financial crimes division that monitors Fannie Mae and Freddie Mac “is only able to root out crime that it gets made aware of.” Palantir's red-flag approach, meanwhile, tips off those investigators to conduct probes they otherwise might not have known to launch.Almodovar recalled an exercise where Palantir's technology was given four actual loan files to assess. The tech, she said, scoured the “reams of paper” and identified instances of fraud in 10 seconds. The same exercise could take human investigators roughly two months. 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.
In this episode of the Future of ERP, Sandeep Chowdhury, Senior Director in SAP's Telecommunications Industry Business Unit, discusses how the telecom industry is evolving with advanced ERP systems to support Industry 4.0, 5G adoption, and smarter networks. He explains how emerging technologies like 6G and AI are transforming network operations and customer experiences. Sandeep also explores telecom's influence on other sectors, regulatory challenges, and the increasing importance of AI in automation and fraud prevention. Sustainability is a key theme, as he addresses energy use, e-waste, and circular economy efforts. Overall, Sandeep reveals how telecom is balancing innovation and environmental responsibility to shape the future of connectivity.
In this episode of the Consumer Finance Podcast, Chris Willis, co-leader of Troutman Pepper Locke's Consumer Financial Services Regulatory practice, delves into the current state of machine learning and artificial intelligence (AI) models in underwriting and fraud detection. Chris provides an overview of the regulatory expectations set by the Consumer Financial Protection Bureau, including the historical context and recent developments. He discusses the importance of fair lending considerations, the use of less discriminatory alternative analysis, and the skepticism around certain types of alternative data. Chris also explores the potential impact of state regulations and the need for a long-term approach to fair lending risk. Tune in to stay informed about the evolving landscape of AI and machine learning in consumer finance.
Every bank and fintech company has a suite of anti-fraud tools that they use to keep the bad guys out. Few tools are 100% effective, however, and often the implementation of these tools, along with their interfaces with other system leave gaps. And the fraudsters will exploit these gaps. So, how do you get a holistic view of your anti-fraud arsenal and discover where these gaps are?My next guest on the Fintech One-on-One podcast is Jerry Tylman, the co-founder and partner at Greenway Solutions and the founder of their Fraud Red Team. The Fraud Red Team is all about discovering the gaps, where the weaknesses in the anti-fraud systems are. They are 100% focused on financial services, working with many of the largest banks in the country as well as several fintech companies.In this podcast you will learn:How Greenway Solutions became focused on financial services.What a pen test is and the groundbreaking work they do with fraud controls.The different attack vectors that fraudsters use.Why banks and fintechs need the services of the Fraud Red Team.How successful they are in penetrating the fraud detection systems.How they interact with the anti-fraud providers to banks and fintechs.An example of a recent test they have done that penetrated anti-fraud systems.How they tackle the challenge of account onboarding.Why behavioral technology is a key piece of the puzzle.How deepfake video and audio are being used by fraudsters.The fascinating way that the Fraud Red Team works with deepfakes.Why companies have to completely rethink their internal authentication today.Some of the fintechs they have worked with recently.How they work with check fraud and why it is a growing problem.Why all financial institutions cannot stop investing in anti-fraud tools.Connect with Fintech One-on-One: Tweet me @PeterRenton Connect with me on LinkedIn Find previous Fintech One-on-One episodes
This episode is sponsored by Thuma. Thuma is a modern design company that specializes in timeless home essentials that are mindfully made with premium materials and intentional details. To get $100 towards your first bed purchase, go to http://thuma.co/eyeonai Visa's President of Technology, Rajat Taneja, pulls back the curtain on the $3.3 billion AI transformation powering one of the world's most trusted financial networks. In this episode, Taneja shares how Visa—a company processing over $16 trillion annually across 300 billion real-time transactions—is leveraging AI not just to stop fraud, but to redefine the future of commerce. From deep neural networks trained on decades of transaction data to generative AI tools powering next-gen agentic systems, Visa has quietly been an AI-first company since the 1990s. Now, with 500+ petabytes of data and 2,900 open APIs, it's preparing for a future where agents, biometrics, and behavioral signals shape every interaction. Taneja also reveals how Visa's models can mimic bank decisions in milliseconds, stop enumeration attacks, and even detect fraud based on how you type. This is AI at global scale—with zero room for error. What You'll Learn in This Episode: How Visa's $3.3B data platform powers 24/7 AI-driven decisioning The fraud models behind stopping $40 billion in criminal transactions What “agentic commerce” means—and why Visa is betting big on it How Visa uses behavioral biometrics to detect account takeovers Why Visa rebuilt its infrastructure for the AI era—10 years ahead of the curve The role of generative AI, biometric identity, and APIs in the next wave of payments The future of commerce isn't just cashless—it's intelligent, autonomous, and trust-driven. If you're curious about how AI is redefining payments, security, and digital identity at massive scale, this episode is essential viewing. Subscribe for more deep dives into the future of AI, commerce, and innovation. Stay Updated: Craig Smith on X:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI (00:00) Introduction (02:57) Meet Rajat Taneja, Visa's President of Technology (04:02) Scaling AI for 300 Billion Transactions Annually (05:27) The Models Behind Visa's Fraud Detection (08:02) Visa's In-House AI Models vs Open-Source Tools (10:54) Inside Visa's $3.3B AI Data Platform (12:29) Visa's Role in E-Commerce Innovation (16:24) Biometrics, Identity & Tokenization at Visa (21:14) Visa's Vision for AI-Driven Commerce
Building Trust Through Technology: Responsible AI in Practice // MLOps Podcast #301 with Rafael Sandroni, Founder and CEO of GardionAI.Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // AbstractRafael Sandroni shares key insights on securing AI systems, tackling fraud, and implementing robust guardrails. From prompt injection attacks to AI-driven fraud detection, we explore the challenges and best practices for building safer AI.// BioEntrepreneur and problem solver. // Related LinksGardionAI LinkedIn: https://www.linkedin.com/company/guardionai/~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Rafael on LinkedIn: /rafaelsandroniTimestamps:[00:00] Rafael's preferred coffee[00:16] Takeaways[01:03] AI Assistant Best Practices[03:48] Siri vs In-App AI[08:44] AI Security Exploration[11:55] Zero Trust for LLMS[18:02] Indirect Prompt Injection Risks[22:42] WhatsApp Banking Risks[26:27] Traditional vs New Age Fraud[29:12] AI Fraud Mitigation Patterns[32:50] Agent Access Control Risks[34:31] Red Teaming and Pentesting[39:40] Data Security Paradox[40:48] Wrap up
Artificial Intelligence (or AI) is rapidly transforming the way we work, communicate, and make decisions—but for many, it still feels like an overwhelming or complex concept. In this episode, we're breaking down the basics of AI for the novice, making it simple and approachable so you can understand the engine behind it, how it works and why it matters. Whether you're a business owner, a creative, or just curious about the technology shaping our world, knowing these fundamentals will help you adapt, stay relevant, and make informed choices in an AI-driven future. Even though AI is not merely an illusion, I'll pull back the curtain on how AI works and some of the differences between machine and generative learning. Because AI is already being used to tackle complex challenges and improve efficiency in a variety of industries, I feel it's very valuable to know the basics of how it works. Today, most of us think nothing of using calculators instead of an abacus or pencil and paper to calculate figures. The simple calculator has become a normal part of our routine. In the same way, many aspects of AI are already integrated in many parts of our daily lives. First, I'm going to talk about input, then distinguish between machine learning and generative learning. Full article here: https://goalsforyourlife.com/artificial-intelligence Make sure you're getting all our podcast updates and articles! Get them here: https://goalsforyourlife.com/newsletter Resources with tools and guidance for mid-career individuals, professionals & those at the halftime of life seeking growth and fulfillment: http://HalftimeSuccess.com #ainews #digitalmarketing #aitools #contentcreation #aiproductivitytools CHAPTERS: 00:00 - Intro 01:34 - Input Data 06:21 - Machine Learning Basics 08:51 - Generative Learning Techniques 10:47 - The Power of AI Applications 15:58 - Applying AI to Your Life 18:24 - Thank You for Joining Us
Today's guest is Nick Lewis, Managing Director for the High Risk Client Unit at Standard Chartered Bank. Nick joins today's show to discuss the shifting landscape of fraud prevention and AML compliance in financial services. As governments increasingly shift regulatory responsibilities onto the private sector, banks find themselves at the forefront of both enforcement and risk management. Lewis highlights how sanctions regimes have evolved, pushing financial institutions to shoulder greater due diligence responsibilities with fewer resources. His conversation with Emerj Editorial Director Matthew DeMello also explores the broader implications of this public-private realignment, including the increasing reliance on AI-driven detection methods and the complexities of prioritizing financial crime risks. Lewis underscores the growing role of banks in addressing crimes such as human trafficking, despite the lack of formal mandates, and how AI could enhance collaboration with law enforcement to identify and mitigate emerging threats. If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!
Send us a message!As the hospitality industry evolves, guest screening and verification have become essential components of a safe and seamless guest experience. In this episode, we sit down with Ela Mezhiborsky, President and Co-Founder of AutoHost, to explore how cutting-edge technology is reshaping the way hotels and short-term rental operators manage risk, prevent fraud, and enhance security.Ela shares her insights on the growing role of AI and cybersecurity in guest verification, the challenges of "bad AI" in fraud prevention, and the regulatory changes driving the need for stronger screening solutions. From mandatory ID checks to advanced biometric verification, this conversation unveils the future of trust and safety in hospitality.Key Topics Discussed:1️⃣ The Evolution of AutoHost & Guest Screening2️⃣ The Role of AI in Fraud Detection & "Bad AI" Risks3️⃣ Regulatory Changes & Compliance Trends4️⃣ Hotels vs. Short-Term Rentals: Who's Leading in Security?5️⃣ The Future of Guest Verification & Embedded Security Solutions6️⃣ Addressing Human Trafficking & Ethical Responsibility7️⃣ Where AutoHost is Headed Next8️⃣ Final Thoughts & How to Connect with ElaConnect with Ela:LinkedIn: https://www.linkedin.com/in/elamezhiborsky/ Autohost Website: https://www.autohost.ai/ Ready to take your operations to the next level? Visit https://tnsinc.com/podcasts-alex-and-annie/ to learn more.Get $50 credit and $0 onboarding fee when you sign up for Beyond, the leading dynamic pricing tool for vacation rentals: http://beyondpricing.info/alexandannie#guestscreening #vacationrentals #fraudprevention
Sadaf Sultan, Founder of Finprojections, and Jeremy Au analyzed the eFishery financial scandal and discuss broader issues of financial fraud in startups. They talked about why eFishery was appealing to investors and how the fraud unfolded and shared their insights into detecting fraud effectively. They explore the challenges faced during investor due diligence, overlooked warning signs, and practical suggestions for strengthening investor safeguards. 1. A promising vision: eFishery attracted investors by presenting itself as a solution for fragmented markets through vertical integration and improved efficiencies. 2. Start small, grow big: Initial minor revenue inflation escalated rapidly under pressures from ambitious fundraising goals. 3. Behind closed doors: The founders executed fraud through round-tripping transactions using shell companies to create artificial revenue. 4. Hard to detect: Auditors struggled to identify fraud due to heavy dependence on founder-provided information. 5. Overlooked red flags: Large bonuses to the finance team and sudden departures of key financial staff were early, but ignored, warning signals. 6. Strengthening investor checks: Investors need to leverage local expertise, perform forensic audits, and set up clear whistleblowing channels. 7. Recognizing red flags: Common fraud tactics include confusing GMV with revenue, overstating recurring revenue, aggressive credit offerings, and misclassifying discounts as marketing costs. Watch, listen or read the full insight at https://www.bravesea.com/blog/sadaf-sultan2 Get transcripts, startup resources & community discussions at www.bravesea.com WhatsApp: https://whatsapp.com/channel/0029VakR55X6BIElUEvkN02e TikTok: https://www.tiktok.com/@jeremyau Instagram: https://www.instagram.com/jeremyauz Twitter: https://twitter.com/jeremyau LinkedIn: https://www.linkedin.com/company/bravesea English: Spotify | YouTube | Apple Podcasts Bahasa Indonesia: Spotify | YouTube | Apple Podcast Chinese: Spotify | YouTube | Apple Podcasts Vietnamese: Spotify | YouTube | Apple Podcasts
Financial Freedom for Physicians with Dr. Christopher H. Loo, MD-PhD
Protect your finances from fraud, embezzlement, and scams with expert strategies from Kelly Todd, President of Forensic Strategic Solutions. In this episode, she shares how to detect, prevent, and recover from financial fraud before it devastates your business or personal assets.
In this episode, Šimon Mandlík, a PhD candidate at the Czech Technical University will talk with us about leveraging machine learning and graph-based techniques for cybersecurity applications. We'll learn how graphs are used to detect malicious activity in networks, such as identifying harmful domains and executable files by analyzing their relationships within vast datasets. This will include the use of hierarchical multi-instance learning (HML) to represent JSON-based network activity as graphs and the advantages of analyzing connections between entities (like clients, domains etc.). Our guest shows that while other graph methods (such as GNN or Label Propagation) lack in scalability or having trouble with heterogeneous graphs, his method can tackle them because of the "locality assumption" – fraud will be a local phenomenon in the graph – and by relying on this assumption, we can get faster and more accurate results.
Senthil Padmanabhan, VP of Platform and Infrastructure at eBay, discusses how eBay's use of fine-tuning is improving their operational workflows. He explains why fine-tuning existing models can often be more cost-effective than training from scratch, and how methods like low-ranking adaptation (LoRa) are pivotal in improving AI performance. Key Takeaways: The impact of strategic fine tuning on achieving peak performance AI's broader impact on eBay's infrastructure, fraud detection, and customer-facing experiences The challenges of tech debt and software upgrades Case studies from eBay that illustrate productivity gains via fine-tuning Considerations for choosing between open and proprietary AI models The importance of data quality over quantity in fine-tuning processes Predictions for the future of AI development and fine-tuning techniques Guest Bio: Senthil Padmanabhan is a Vice President and Technical Fellow at eBay, where he runs Platform and Infra (private cloud) Engineering for the global eCommerce marketplace, providing infrastructure for 4000+ engineers to deliver products at scale. Before this role, he was in the Product engineering space, building consumer-facing applications at eBay and Yahoo. ---------------------------------------------------------------------------------------- About this Show: The Brave Technologist is here to shed light on the opportunities and challenges of emerging tech. To make it digestible, less scary, and more approachable for all! Join us as we embark on a mission to demystify artificial intelligence, challenge the status quo, and empower everyday people to embrace the digital revolution. Whether you're a tech enthusiast, a curious mind, or an industry professional, this podcast invites you to join the conversation and explore the future of AI together. The Brave Technologist Podcast is hosted by Luke Mulks, VP Business Operations at Brave Software—makers of the privacy-respecting Brave browser and Search engine, and now powering AI everywhere with the Brave Search API. Music by: Ari Dvorin Produced by: Sam Laliberte
Click here to read along and see the photos in our show notes as you listen – http://www.scottishwatches.co.uk/category/podcast/ Welcome to the Scottish Watches Podcast Episode 637! Rebeca is wearing her... The post Scottish Watches Podcast #637 : Dr Rebecca Struthers On Artisan Watch Making and Forensic Fraud Detection appeared first on Scottish Watches.
SaaS Scaled - Interviews about SaaS Startups, Analytics, & Operations
Today, we're joined by Rich Kahn, Co-Founder and CEO of Anura, an ad fraud solution designed to improve campaign performance by accurately exposing bots, malware, and human fraud. We talk about:Why digital marketing is a hot spot for fraudstersThe numerous benefits of reducing fraudHow to increase Return on Ad Spend (ROAS)Who is taking better advantage of AI: fraudsters or those battling fraud?
In this episode, we learn what's new in the 2025 Fraud Detection and Remediation training from Steve Sebestyen. Host: Ian Grossman Producer: Claire Jeffrey and Chelsey Hadwin Music: Gibson Arthur
IN CLEAR FOCUS: Rich Kahn, co-founder and CEO of Anura.io, delves into ad fraud, projected to cost businesses $100B this year. Rich shares insights on identifying fraudulent traffic, including Sophisticated Invalid Traffic (SIVT), using advanced detection techniques. He emphasizes third-party certification, cohesive fraud prevention strategies, and why marketers must reject fraud as a business cost. Explore how vigilance and Anura's solutions can protect budgets and improve ad performance.
Welcome to TCAST, the podcast that explores the intersection of technology, data, and humanity. In this episode, hosts Alexander McCaig and Jason Rigby dive deep into TARTLE's DataVault Connect, a groundbreaking OAuth2-based platform designed to give businesses and users unprecedented control over their data. Discover how this tool transforms data sharing into a win-win scenario for companies and consumers, emphasizing ethical practices, privacy, and revenue generation. Episode Highlights Introducing DataVault Connect What It Is: A seamless OAuth2 integration that allows users to vault and monetize their data while giving businesses a compliance-ready solution for data collection. Why It Matters: Shift away from outdated login systems like Google and Facebook, and embrace a more ethical, transparent way of handling data. Key Features of DataVault Connect Granular Consent Management: Users decide what data to share and can revoke access at any time. Revenue Sharing: Businesses earn a percentage of revenue when users monetize their data. Built-In Compliance: Fully aligned with GDPR, HIPAA, and CCPA regulations, backed by blockchain-based audit trails. Zero and First-Party Data Access: Unlock valuable insights for AI training, personalization, and customer engagement. Why DataVault Connect is a Game-Changer for Businesses Simplified Integration: A plug-and-play OAuth2 button with robust SDK support for websites and apps. Real-Time Data Insights: Gain access to user-approved data that enhances AI models and market strategies. Enhanced Privacy: Cutting-edge encryption ensures user data is secure and untouchable by third parties. Trust Building: Show customers you prioritize their data rights, fostering long-term relationships. The OAuth Revolution How It Compares: Unlike traditional login systems that profit from your users' data, TARTLE's DataVault Connect ensures your business benefits from every login while safeguarding user privacy. Revenue Model: Every time a user monetizes their data, your business gets a share of the profit. Who Should Use DataVault Connect? AI Companies: For accessing high-quality, real-time data to improve model performance. E-Commerce Platforms: Enhance personalization and customer experience. Healthcare Providers: Securely manage sensitive data with HIPAA-compliant tools. Marketers: Use ethical, actionable insights to drive campaign success. Why Listen to This Episode? This episode is perfect for anyone who: Wants to learn about ethical data exchange and monetization. Is seeking innovative ways to enhance their AI models or customer experience. Cares about compliance and wants to reduce legal risks related to data management. Is curious about how to turn user authentication into a revenue stream. Key Takeaways Ethical Data Exchange: Shift to a user-first model that benefits businesses and consumers alike. Revenue Potential: Generate profits from data monetization while maintaining compliance. Privacy at the Core: TARTLE ensures data security with cutting-edge encryption and blockchain-backed audits. Seamless Adoption: Integrate DataVault Connect easily into your current systems with minimal effort. Actionable Steps for Businesses Sign Up for TARTLE DataVault Connect: Visit TARTLE.CO to get started. Integrate the OAuth2 Button: Use TARTLE's SDK and documentation to add the button to your site or app. Engage with Your Users: Showcase your commitment to ethical data practices and invite them to participate. Monetize User Data: Earn a share of revenue as your users monetize their data.
Welcome to TCAST, the podcast where we explore how technology and data empower humanity. In this episode, hosts Jason Rigby and Alexander McCaig share exciting updates about the TARTLE platform and how its new features are creating daily earning opportunities for users worldwide. Whether you're looking to supplement your income or maximize the value of your data, this episode is packed with actionable insights. Episode Highlights The Opportunities Tab: Your Gateway to Extra Income What It Is: A new feature on the TARTLE dashboard designed to simplify finding paid data-sharing opportunities. How It Works: Access hundreds of data packets daily, complete simple tasks, and get paid instantly. Earning Potential for Users Global Opportunities: Over $400,000 in earning potential added daily, with opportunities available in 76+ countries. Boosting Your Income: Learn how sharing your data can double or even triple your hourly earnings without changing your routine. How to Use the Dashboard Simple Navigation: Log in, click on the Opportunities Tab, and browse available tasks. Key Tips: Be honest when completing data packets, as accuracy increases your chances of earning. Why TARTLE is Different Ethical Data Sharing: Unlike other platforms, TARTLE prioritizes transparency, user empowerment, and equitable earnings. Global Accessibility: Designed to work on any device and bandwidth, ensuring opportunities for everyone. Why Listen to This Episode? This episode is perfect for anyone interested in: Exploring new ways to earn money online. Learning about ethical data-sharing practices. Understanding how platforms like TARTLE are creating financial opportunities for individuals globally. Finding out how to maximize your time and income with minimal effort. Key Takeaways Daily Earnings Opportunities: Hundreds of thousands of dollars in data-sharing opportunities are added every day. Ease of Use: TARTLE's dashboard is user-friendly and accessible to anyone, anywhere. Honesty Pays: Being accurate and transparent when completing tasks increases your earning potential. Empowerment Through Data: Take control of your data and turn it into a sustainable income stream. Actionable Steps from the Episode Sign Up for TARTLE: Create an account at TARTLE.CO. Log Into the Dashboard: Navigate to the Opportunities Tab and explore daily earning tasks. Complete Tasks Honestly: Follow the instructions and provide accurate information to maximize success. Check Daily: New opportunities are added every day, so make it a habit to log in and earn. Why TARTLE is the Future of Data Sharing TARTLE isn't just a platform—it's a global movement to empower individuals through data ownership and fair compensation. With its new dashboard features, TARTLE is bridging the gap between technology and equity, enabling users to share data ethically and profitably. Get Started Today: Join the TARTLE community and take control of your data: https://tartle.co. Explore hundreds of daily opportunities to turn your data into dollars.
Episode Highlights The Healthcare Data Revolution Problem: Diagnostic models often fail when transitioning from test environments to real-world applications due to poor data quality and lack of contextual insights. Solution: TARTLE's Real Intelligence API connects AI systems directly to zero-party data, sourced with explicit patient consent. This allows for real-world diagnostic accuracy, bypassing third-party data scrubbing. Key Takeaway: Build physician and patient trust while improving diagnostic tools with ethically sourced data. Fraud Detection and AI in Financial Services Problem: AI models for fraud detection suffer from high false-positive rates, creating friction with customers and undermining trust. Solution: Using TARTLE, companies can collect real-world data on fraud patterns, behaviors, and edge cases, enabling more accurate fraud detection without unnecessary flags. Key Takeaway: Reduce false positives and build better fraud detection models by integrating contextual human feedback. Transforming E-Commerce with Personalization Problem: Recommendation engines often rely on outdated third-party data, leading to low click-through rates and poor customer engagement. Solution: TARTLE DataVault Connect allows businesses to collect real-time, consent-driven feedback to enhance product recommendations, reduce cart abandonment, and improve customer lifetime value. Key Takeaway: Improve e-commerce performance with zero-party data tailored to your customers' needs. Media Companies and Seasonal Content Personalization Problem: Seasonal trends are difficult to predict without direct user data. Solution: By integrating TARTLE's Real Intelligence API, media companies can source data streams that reflect real-time preferences, allowing for highly targeted and adaptive content strategies. Key Takeaway: Personalized ads and content become possible with user-specific data insights. Why TARTLE Matters for AI Companies Ethically Sourced Data: TARTLE's platform enables businesses to collect data directly from individuals, ensuring compliance with global privacy standards like GDPR and CCPA. Improved Model Accuracy: Businesses using TARTLE's API report up to 30% improvement in model performance by leveraging zero-party and real-time human feedback. Streamlined Integration: API implementation takes as little as 2-3 weeks, delivering measurable improvements within 4-6 weeks. Key Features of TARTLE's Real Intelligence API Real-Time Human Feedback: Collect insights directly from users to train AI models. Zero-Party Data: Access data provided with explicit consent, eliminating the risks of traditional third-party data. Compliance and Audit Trails: Every data point is fully documented and permissioned, ensuring transparency. Scalability: TARTLE supports millions of API calls daily, making it suitable for businesses of any size. Who Should Listen to This Episode? This episode is a must-listen for: AI and machine learning professionals seeking better data solutions. Healthcare innovators looking for consent-driven patient data. Financial services companies aiming to enhance fraud detection models. E-commerce leaders striving to improve customer engagement. Media companies exploring personalized content strategies. How TARTLE Stands Out Unlike traditional data brokers, TARTLE provides a direct connection to data providers, ensuring: Ethical data sourcing. Enhanced privacy and security. Clear consent and provenance. Real-time insights for smarter AI models. Actionable Insights from the Episode Ethical AI starts with ethically sourced data. Real-time feedback loops can transform how you train your AI models. By leveraging zero-party data, you can build trust, reduce bias, and improve user engagement. TARTLE makes it easy to scale data collection while remaining compliant with global standards. Ready to Elevate Your AI Models? Learn more about TARTLE's Real Intelligence API and DataVault Connect. Visit TARTLE.CO to discover how you can start collecting ethical, real-time data today. Listen Now and Subscribe: Tune in to TCAST on your favorite platform for more insights into data, AI, and digital transformation. Don't forget to subscribe, rate, and share this episode with your network.
In this conversation, Ryan Staley and Laurent Charpentier discuss the evolving role of AI in business, particularly in fraud detection and sales processes. Laurent shares insights on how AI is being integrated into their operations, the importance of team engagement with new technologies, and his vision for future business ventures leveraging AI. Takeaways AI is crucial for enhancing fraud detection strategies. Automation provides better control over financial processes. Data accuracy improves as AI models evolve. Engagement with AI tools boosts team morale and productivity. AI can help in summarizing meetings for better efficiency. The legal implications of AI usage are a concern for companies. Building proprietary AI models can mitigate data privacy issues. AI tools can enhance sales coaching and performance. The future of business will heavily rely on AI technology. Exploring new use cases for AI is essential for growth. ---------- Want to become Superhuman through the use of AI? Join our community of 3,100+ subscribers today. https://www.aiforrevenue.com/superhumanrevenue-newsletter
Welcome to the Jake & Gino Podcast!In this special episode, we are joined by Tim Ray, the co-founder and CEO of VeriFast, a cutting-edge identity and financial verification platform revolutionizing the real estate and property management sectors. From his early successes in e-commerce and angel investing to the hard-learned lessons of a startup that missed the mark, Tim shares an unfiltered look at the highs and lows of entrepreneurship.Key Takeaways:How Tim scaled multiple businesses, including exits in e-commerce and a private aviation tech startup.The lessons behind his "double-A baseball" analogy for entrepreneurship.The journey from startup setbacks to the genesis of VeriFast.Insights on identity verification and income screening in real estate.Why fraud detection and tenant screening matter now more than ever.Learn how VeriFast is transforming tenant screening and what it means for property managers of all sizes.Episode Highlights:Entrepreneurial pivots: When big swings lead to big lessons.How financial verification tools empower landlords.The future of tenant screening and digital identity in multifamily housing.Real stories of reducing delinquencies and eliminating fraud in property management.Chapters:00:00 - Introduction00:51 - From E-Commerce Exits to Private Aviation Failures08:39 - The Birth of VeriFast: Solving Real-World Problems13:34 - How VeriFast Verifies Income and Prevents Fraud25:31 - Pricing Models: Per-Door vs. Per-Application Costs27:23 - Screening Smarter: Approving More Tenants While Reducing Evictions33:51 - The Problem with Credit Scores in Tenant Screening41:49 - Gino Wraps it UpConnect with Tim Ray:Email: tim.ray@VeriFast.comLinkedIn: Tim RayDon't forget to like, subscribe, and hit the notification bell for more insights from top industry leaders in real estate and entrepreneurship! We're here to help create multifamily entrepreneurs... Here's how: Brand New? Start Here: https://jakeandgino.mykajabi.com/free-wheelbarrowprofits Want To Get Into Multifamily Real Estate Or Scale Your Current Portfolio Faster? Apply to join our PREMIER MULTIFAMILY INVESTING COMMUNITY & MENTORSHIP PROGRAM. (*Note: Our community is not for beginner investors)
Blake and David examine the mysteries and motives surrounding the recent Macy's accounting scandal, where a single employee allegedly concealed $132-154 million through improper accrual entries. They also examine Trump's proposed 25% tariff plan on imports from Mexico and Canada (plus an additional 10% on China), discussing its potential impact on American businesses and consumers. SponsorsZoho - http://accountingpodcast.promo/zohoSuralink - http://accountingpodcast.promo/suralinkCloud Accountant Staffing - http://accountingpodcast.promo/casChapters(00:46) - Macy's Accounting Error: Breaking News (01:40) - Understanding the Impact of Macy's Error (02:46) - The Mystery Behind Macy's Accounting Error (02:53) - Join the Live Discussion (03:42) - Upcoming Topics and Teasers (05:15) - Thanking Our Sponsors (06:42) - Diving Deeper into Macy's Accounting Mystery (19:29) - Exploring the Fraud Triangle (27:54) - Auditors and Materiality Standards (32:04) - Auditors' Role in Detecting Fraud (33:25) - Impact of Fraud on Macy's Stock (33:47) - Challenges in Auditing Practices (34:08) - Internal Controls and Their Limitations (38:53) - Expense Fraud: A Growing Concern (44:01) - AI in Auditing: The Future of Fraud Detection (52:28) - Trump Tariffs and Their Economic Impact (01:03:13) - Thanksgiving Reflections and Closing Remarks Show NotesMacy's says employee hid up to $154 million in expenses, delaying Q3 earningshttps://apnews.com/article/macys-accounting-quarter-b1cb0927d9b6a58ee4396838df7973c9Macy's says accountant hid as much as $154M in expenseshttps://www.cfodive.com/news/macys-says-accountant-hid-as-much-as-154m-in-expenses-retail-retailing-consumers/733960/UPS to Pay $45 Million SEC Penalty Over Improper Valuationhttps://finance.yahoo.com/news/ups-hit-45-million-penalty-144424675.htmlStrippers, Christmas gifts and an RV: Workers push it with company cardshttps://abcdpf.livemint.com/industry/strippers-christmas-gifts-and-an-rv-workers-push-it-with-company-cards-11732157906943.htmlEx-Jaguars employee who stole $22 million from team files lawsuit against FanDuelhttps://www.nytimes.com/athletic/5809925/2024/10/01/jaguars-lawsuit-fanduel-amit-patel/Trump's Truth Social tariffs pledge is a teachable moment for Americahttps://www.msnbc.com/opinion/msnbc-opinion/trump-truth-social-tariffs-deportation-thanksgiving-rcna182079What does Trump's latest tariff plan mean for the U.S.?https://www.pbs.org/newshour/politics/what-does-trumps-latest-tariff-plan-mean-for-the-u-sWalmart CFO Says They Don't Want To Raise Prices, But 'Prices Will Go Up For Consumers' Due To Upcoming Tariffshttps://finance.yahoo.com/news/walmart-cfo-says-dont-want-161640110.htmlNeed CPE?Get CPE for listening to podcasts with Earmark: https://earmarkcpe.comSubscribe to the Earmark Podcast: https://podcast.earmarkcpe.comGet in TouchThanks for listening and the great reviews! We appreciate you! Follow and tweet @BlakeTOliver and @DavidLeary. Find us on Facebook and Instagram. If you like what you hear, please do us a favor and write a review on Apple Podcasts or Podchaser. Call us and leave a voicemail; maybe we'll play it on the show. DIAL (202) 695-1040.SponsorshipsAre you interested in sponsoring the Cloud Accounting Podcast? For details, read the prospectus.Need Accounting Conference Info? Check out our new website - accountingconferences.comLimited edition shirts, stickers, and other necessitiesTeePublic Store: http://cloudacctpod.link/merchSubscribeApple Podcasts: http://cloudacctpod.link/ApplePodcastsYouTube: https://www.youtube.com/@TheAccountingPodcastSpotify: http://cloudacctpod.link/SpotifyPodchaser: http://cloudacctpod.link/podchaserStitcher: http://cloudacctpod.link/StitcherOvercast: http://cloudacctpod.link/OvercastClassifiedsForwardly - https://www.forwardly.com/Client Hub - https://clienthub.app/Want to get the word out about your newsletter, webinar, party, Facebook group, podcast, e-book, job posting, or that fancy Excel macro you just created? Let the listeners of The Accounting Podcast know by running a classified ad. Go here to create your classified ad: https://cloudacctpod.link/RunClassifiedAdTranscriptsThe full transcript for this episode is available by clicking on the Transcript tab at the top of this page
Dr. Mark Nigrini, famed for his work on Benford's Law, is on Fraudish discuss key aspects of fraud detection and prevention. The episode dives into the implications of AI on future fraud and the importance of understanding key fraud patterns. Nigrini is the author of Forensic Analytics (Wiley, 2011) and Forensic Analytics Second Edition (2020) which describes analytic tests to detect fraud, errors, estimates, and biases in financial data. He is also the author of Benford's Law (Wiley, 2012) which is the seminal work on applications of Benford's Law.Connect with Mark Nigrini: https://www.linkedin.com/in/mark-nigrini-7409918/Mark's website: https://nigrini.com/
This Day in Legal History: Guiteau Stands Trial for AssassinationOn November 14, 1881, Charles Guiteau stood trial for assassinating President James A. Garfield. Garfield had been shot by Guiteau in July of that year but succumbed to his injuries months later, largely due to medical mismanagement. At the time, sterilization practices were not widely understood or practiced, and Garfield's doctors repeatedly probed his wound with unwashed instruments and hands, leading to a fatal infection. Despite the role of inadequate medical care, Guiteau was held fully responsible for the president's death, setting a notable precedent in criminal law.Guiteau's defense centered on claims of insanity, arguing that he believed he was acting on divine command to remove Garfield. His erratic behavior in court, which included singing, reciting poetry, and accusing his defense attorneys of incompetence, underscored his unstable mental state. However, nineteenth-century legal standards for insanity were narrow and rarely accepted by courts. The prosecution argued that Guiteau understood the wrongfulness of his act, and he was ultimately found guilty and sentenced to death.The case spotlighted serious deficiencies in the legal system's treatment of mental illness and brought attention to the need for clearer guidelines on the insanity defense. It also ignited a broader conversation on the role of medical practices in causation, as some questioned whether Guiteau could be solely responsible for Garfield's death. Guiteau's trial and conviction marked one of the first high-profile uses of the insanity defense in the United States and influenced subsequent legal reforms regarding both mental health assessments and standards of criminal responsibility.President-elect Donald Trump has named Matt Gaetz, a firebrand Republican congressman with a face that might terrify even the devil himself, as his nominee for attorney general. Gaetz, who has previously faced scrutiny from the Justice Department over sex trafficking allegations, will replace current leadership to help Trump “end Weaponized Government” and enact an aggressive conservative agenda. Gaetz, who resigned from Congress immediately, is known for his unconventional political moves, including his role in ousting former House Speaker Kevin McCarthy, and for his call to dismantle federal agencies like the FBI. His appointment has already triggered controversy, with Senate Republicans like Lisa Murkowski expressing skepticism about his qualifications and intentions. Gaetz's background has raised security clearance concerns, given the history of investigations into his conduct.The nomination aligns with Trump's stated intentions to reshape the Justice Department, positioning the attorney general as crucial to plans for mass deportations, pardons of January 6 rioters, and prosecutorial retribution. Gaetz's legal experience consists mainly of work at a Florida law firm before he entered politics, though he has recently championed populist stances on antitrust enforcement, supporting the Federal Trade Commission's fight against noncompete clauses and cheering the Justice Department's antitrust case against Google. Gaetz's nomination fuels concern among former Justice Department officials, who fear that he could further politicize an institution traditionally independent from White House influence.Trump taps firebrand congressman Matt Gaetz for attorney general | ReutersIn the corruption trial of former U.S. Senator Robert Menendez, prosecutors revealed that jurors were mistakenly shown unredacted evidence during deliberations. However, they argued this error does not warrant overturning the conviction, asserting that the evidence against Menendez was overwhelming. Menendez, a former New Jersey senator, was convicted in August of corruption charges that included accepting bribes like gold bars and cash, allegedly in exchange for political favors. He has maintained his innocence and plans to appeal. The Manhattan U.S. Attorney's Office indicated that both the defense and prosecution missed the unredacted material during trial, emphasizing that it likely did not affect the jury's guilty verdict on all 16 counts, including wire fraud, obstruction of justice, and illegal foreign agency activities. Menendez, once a senior figure in the Senate as the chair of the foreign relations committee, now faces sentencing in January with a potential for decades in prison.Bob Menendez jury was mistakenly shown improper evidence, prosecutors say | ReutersGary Wang, former chief technology officer of FTX, is assisting federal prosecutors by developing software to detect fraud in both stock and cryptocurrency markets. Wang, who previously wrote the code allowing ex-FTX CEO Sam Bankman-Fried to siphon billions from FTX customers, has been cooperating with the government since FTX's collapse. Prosecutors are asking for leniency in Wang's upcoming sentencing, highlighting his proactive efforts to prevent similar crimes. His new tool, details of which remain confidential to protect its effectiveness, is valued by prosecutors for its potential in identifying financial crimes. This cooperation follows Bankman-Fried's recent 25-year prison sentence for fraud and misuse of $8 billion in customer funds, while other former FTX associates, like Caroline Ellison and Nishad Singh, received lighter sentences due to their cooperation. Wang, the last of Bankman-Fried's close associates awaiting sentencing, was instrumental in exposing the scheme by testifying that Bankman-Fried directed him to alter FTX's code to grant Alameda Research unauthorized access to customer funds.Bankman-Fried lieutenant builds fraud detection tool for prosecutors | ReutersA federal appeals court has struck down a New York law that heavily restricted antiques dealers from selling or displaying ivory and rhinoceros horn items, ruling it unconstitutional. The 2nd U.S. Circuit Court of Appeals found that the law, which limited ivory content in antiques to less than 20%, overstepped by restricting dealers' First Amendment commercial speech rights. Judges argued that the law prevented dealers from communicating important details about legally marketable items, deeming this an excessive speech restriction. While federal law already restricts ivory sales under the Endangered Species Act, it allows for goods with up to 50% ivory, whereas New York's stricter limit of 20% was intended to curb poaching of endangered species. However, the court ruled that New York's law also blocked the sale of items permitted in interstate and international trade, making it too broad. The decision was a setback for animal rights groups that supported the law to protect vulnerable wildlife, although the Humane Society noted that New York could still enforce the law against local buyers.New York ivory ban for antiques dealers voided by US appeals court | ReutersLaw firm revenue surged nearly 12% in the first three quarters of the year, driven by increased demand for legal services and higher productivity, according to Citi's law firm banking group. The top 50 law firms saw especially notable gains, with revenues up 14%, demand growth at 3.6%, and productivity rising by 2.9%. Gretta Rusanow from Citi's Law Firm Group highlighted 2023 as potentially one of the strongest years for the industry, citing steady demand momentum quarter by quarter. Industry-wide demand rose by 3.2%, with lawyer productivity improving as headcount growth slowed to 1.3%, returning to historical norms. Expense growth was 7.5%, with overhead costs increasing by 8.2% and compensation expenses by 6.7%. Legal services demand spanned diverse practice areas, notably in litigation, regulatory issues, investment management, and bankruptcy. Although transactional demand has been quiet, Rusanow anticipates a rebound in mergers and acquisitions activity. Law firms also invested in technology upgrades, including new practice management tools and generative AI, which contributed to higher expenses. Law Firm Revenue Soars 12% as Lawyers Get Back to Being Busy This is a public episode. 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SentiLink is at the forefront of fraud prevention and identity verification, offering innovative solutions to help financial institutions tackle synthetic fraud, identity theft, and more. We're thrilled to have them onboard as partners in our mission to equip you with the tools and knowledge you need to stay ahead in this ever-evolving landscape.Stay tuned for more great episodes and insights—thanks again to SentiLink for supporting the podcast! Visit: https://www.sentilink.com/ and learn all about them!----------------------------Welcome back to another exciting episode of "Banking on Fraudology"! I'm your host, Hailey Windham, and today we're diving deep into the world of fraud detection with our special guest, Jen Martin. With over 15 years of banking experience and a robust background in criminal justice and statistics, Jen brings a wealth of knowledge and a passion for data-driven solutions in the fight against fraud.In this episode, Jen takes us through her fascinating career journey, from her early aspirations to become a crime statistician to her pivotal roles in banking and fraud prevention. We'll explore the transformative power of real-time data models and advanced analytics in combating fraud, as well as the critical importance of collaborative efforts across different departments within an organization.We'll also discuss the evolving landscape of fraud threats, particularly post-pandemic, and the need for quick, adaptable strategies to stay ahead. Jen provides invaluable insights into tackling specific challenges such as check fraud and maintaining a balance between effective fraud controls and a positive customer experience. We'll touch on the strain of staff retention and the importance of ongoing training, especially in frontline positions.Join us as we unravel the complexities of fraud prevention, the necessity of creative data utilization, and the indispensability of cross-functional teamwork. Stay tuned for practical advice and inspiring stories from one of the leading voices in the fraud-fighting community. Let's get started!About Hailey Windham:As a 2023 CU Rockstar Recipient, Hailey Windham, CFCS (Certified Financial Crimes Specialist) demonstrated unbounding passion for educating her community, organization and credit union membership on scams in the market and best practices to avoid them. She has implemented several programs within her previous organizations that aim at holistically learning about how to prevent and detect fraud targeted at membership and employees. Windham's initiatives to build strong relationships and partnerships throughout the credit union community and industry experts have led to countless success stories. Her applied knowledge of payments system programs combined with her experience in fraud investigations offers practical concepts that are transferable, no matter the organization's size. Connect with Hailey on LinkedIn: https://www.linkedin.com/in/hailey-windham/ ---------------------------- Banking on Fraudology is part of the Fraudology Network, and produced by Podyssey.io.
Speaker Resources:Neo4j+Senzing Tutorial: https://neo4j.com/developer-blog/entity-resolved-knowledge-graphs/#neo4jWhen GraphRAG Goes Bad: A Study in Why you Cannot Afford to Ignore Entity Resolution (Dr. Clair Sullivan): https://www.linkedin.com/pulse/when-graphrag-goesbad-study-why-you-cannot-afford-ignore-sullivan-7ymnc/Paco's NODES 2024 session: https://neo4j.com/nodes2024/agenda/entity-resolved-knowledge-graphs/Graph Power Hour: https://www.youtube.com/playlist?list=PL9-tchmsp1WMnZKYti-tMnt_wyk4nwcbHTomaz Bratanic on GraphReader: https://towardsdatascience.com/implementing-graphreader-with-neo4j-and-langgraph-e4c73826a8b7Tools of the Month:Neo4j GraphRAG Python package: https://pypi.org/project/neo4j-graphrag/Spring Data Neo4j: https://spring.io/projects/spring-data-neo4jEntity Linking based on Entity Resolution tutorial: https://github.com/louisguitton/spacy-lancedb-linkerhttps://github.com/DerwenAI/strwythuraAskNews (build news datasets) https://asknews.app/The Sentry https://atlas.thesentry.org/azerbaijan-aliyev-empire/Announcements / News:Articles:GraphRAG – The Card Game https://neo4j.com/developer-blog/graphrag-card-game/Turn Your CSVs Into Graphs Using LLMs https://neo4j.com/developer-blog/csv-into-graph-using-llm/Detecting Bank Fraud With Neo4j: The Power of Graph Databases https://neo4j.com/developer-blog/detect-bank-fraud-neo4j-graph-database/Cypher Performance Improvements in Neo4j 5 https://neo4j.com/developer-blog/cypher-performance-neo4j-5/New GraphAcademy Course: Building Knowledge Graphs With LLMs https://neo4j.com/developer-blog/new-building-knowledge-graphs-llms/Efficiently Monitor Neo4j and Identify Problematic Queries https://neo4j.com/developer-blog/monitor-and-id-problem-queries/Videos:NODES 2023 playlist https://youtube.com/playlist?list=PL9Hl4pk2FsvUu4hzyhWed8Avu5nSUXYrb&si=8_0sYVRYz8CqqdIcEventsAll Neo4j events: https://neo4j.com/events/(Nov 5) Conference (virtual): XtremeJ https://xtremej.dev/2024/schedule/(Nov 7) Conference (virtual): NODES 2024 https://dev.neo4j.com/nodes24(Nov 8) Conference (Austin, TX, USA): MLOps World https://mlopsworld.com/(Nov 12) Conference (Baltimore, MD, USA): ISWC https://iswc2024.semanticweb.org/event/3715c6fc-e2d7-47eb-8c01-5fe4ac589a52/summary(Nov 13) Meetup (Seattle, WA, USA): Puget Sound Programming Python (PuPPY) - Talk night Rover https://www.meetup.com/psppython/events/303896335/?eventOrigin=group_events_list(Nov 14) Meetup (Seattle, WA, USA): AI Workflow Essentials (with Pinecone, Neo4J, Boundary, Union) https://lu.ma/75nv6dd3(Nov 14) Conference (Reston, VA, USA): Senzing User Conference https://senzing.com/senzing-event-calendar/(Nov 18) Meetup (Cleveland, OH, USA): Cleveland Big Data mega-meetup https://www.meetup.com/Cleveland-Hadoop/(Nov 19) Chicago Java User Group (Chicago, IL, USA): https://cjug.org/cjug-meeting-intro/#/(Dec 3) Conference (London, UK): Linkurious Days https://resources.linkurious.com/linkurious-days-london(Dec 10) Meetup (London, UK): ESR meetup in London by Neural Alpha(Dec 11-13) Conference (London, UK): Connected Data London https://2024.connected-data.london/
Join Renee Perez, National Director of Sales-Financial Crimes for Jack Henry, as we discuss innovative new areas where fraudsters are using AI to commit fraud, and then a discussion on areas where AI is being used to fight back.Whitepaper:https://fedpaymentsimprovement.org/strategic-initiatives/payments-security/scams/Send us a textPresented by Remedy ConsultingTechnology Contract Negotiation & System Assessments, T&C Improvements, and FI Strategic Planning.For more information on BankTalk:BankTalk WebsiteSubscribe to BankTalk NewsRemedy Consulting WebsiteRemedy LinkedInTo speak on the BankTalk Podcast, please email us.
The AI Dream Team: Strategies for ML Recruitment and Growth // MLOps Podcast #267 with Jelmer Borst, Analytics & Machine Learning Domain Lead, and Daniela Solis, Machine Learning Product Owner, of Picnic. // Abstract Like many companies, Picnic started out with a small, central data science team. As this grows larger, focussing on more complex models, it questions the skillsets & organisational set up. Use an ML platform, or build ourselves? A central team vs. embedded? Hire data scientists vs. ML engineers vs. MLOps engineers How to foster a team culture of end-to-end ownership How to balance short-term & long-term impact // Bio Jelmer Borst Jelmer leads the analytics & machine learning teams at Picnic, an app-only online groceries company based in The Netherlands. Whilst his background is in aerospace engineering, he was looking for something faster-paced and found that at Picnic. He loves the intersection of solving business challenges using technology & data. In his free time loves to cook food and tinker with the latest AI developments. Daniela Solis Morales As a Machine Learning Lead at Picnic, I am responsible for ensuring the success of end-to-end Machine Learning systems. My work involves bringing models into production across various domains, including Personalization, Fraud Detection, and Natural Language Processing. // MLOps Jobs board https://mlops.pallet.xyz/jobs // MLOps Swag/Merch https://mlops-community.myshopify.com/ // Related Links Website: --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Catch all episodes, blogs, newsletters, and more: https://mlops.community/ Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Jelmer on LinkedIn: https://www.linkedin.com/in/japborst Connect with Daniela on LinkedIn: https://www.linkedin.com/in/daniela-solis-morales/
In this episode of Pathmonk Presents, host Ernesto welcomes Brianna Valleskey, Head of Marketing at Inscribe. Brianna shares insights into Inscribe's AI-powered solutions for fraud detection and risk assessment in the financial services sector. She discusses how their technology analyzes application data, including documents and open banking information, to identify trustworthy and creditworthy customers. Brianna also delves into Inscribe's marketing strategies, emphasizing the importance of data-driven decision-making and the role of their website in client acquisition. The conversation covers emerging trends in fraud prevention, the impact of generative AI, and valuable tips for effective marketing leadership.
In this episode of Fraud Talk, Mason Wilder sits down with Marta Cadavid, founder of NoFraudLatin, to explore the unique challenges of detecting and preventing fraud in Latin America. Cadavid shares her journey, including the creation of a Latin American-specific fraud tree, and how cultural nuances shape the approach to fraud communication. They discuss the vital role of artificial intelligence in analyzing human behavior and predicting fraudulent actions.
The financial industry grapples with the question of who should bear the cost of scam-induced fraud losses: consumers or banks. Authorized push payment (APP) fraud presents unique challenges for fraud detection systems, as victims unwittingly authorize transactions. Financial institutions are implementing advanced technologies and strategies to combat these scams, while regulators explore new policies to protect consumers and hold banks accountable in the evolving digital banking landscape. Today's Stocks & Topics: SNOW - Snowflake Inc., Market Wrap, SWK - Stanley Black & Decker Inc., BROS - Dutch Bros Inc., Fraud Detection: Who Should Cover Scam Losses—Banks or Consumers?, CELH - Celsius Holdings Inc., Key Benchmark Numbers and Market Comments for: Treasury Yields, Gold, Silver, Oil and Gasoline, Annuities, Fossil Fuel, NEM - Newmont Corp., Deglobalization, REPX - Riley Exploration Permian Inc., JXN- Jackson Financial Inc., GD - General Dynamics Corp.Our Sponsors:* Check out Moorings: moorings.com* Check out eBay Auto: www.ebay.comAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy
Welcome to another episode of our Learning from Financial Fraud Series. In this thirteenth episode, Craig Jeffery, Managing Partner at Strategic Treasurer, shares insights into a major fraud case. The organization faced multiple sophisticated attacks across multiple payment channels. Listen in as Craig walks us through the attack method, the loss, and the key takeaways.
On this episode, host Sima Vasa welcomes Andrew Moffatt, CEO and Co-Founder of Qrious Insight, to explore the evolution of data analytics, the impact of AI and the future of market research. Andrew discusses how the integration of behavioral data with advanced analytics is transforming the way businesses understand and engage with their audiences. Key Takeaways: (01:19) Andrew reflects on 25 years in market research.(03:07) Founding Qrious Insight and its evolution.(06:20) The importance of behavioral data for accurate insights.(12:53) Informing ad placement with behavioral data.(18:25) High retention rates in behavioral data tracking.(27:31) Generational differences in data privacy and acceptance.(34:30) AI's transformative role in data analytics.(36:00) The future potential of synthetic data models.(37:00) Bridging insights and marketing with behavioral data. Resources Mentioned: Paradigm SampleSima VasaQrious Insight website Thanks for listening to the Data Gurus podcast, brought to you by Infinity Squared. If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and be sure to subscribe so you never miss another insightful conversation. #Analytics #MA #Data #Strategy #Innovation #Acquisitions #MRX #Restech
In today's episode, we'll hear from Paul Galloway on natural language processing. What is it, and how does it differ from machine learning? How is it used in finance and fraud detection? Tune in to find out.
Welcome to another episode of our Learning from Financial Fraud Series. In this twelfth episode, we'll explore what can be learned from a recent payment flows assessment that led to discovering a fraudulent loss in another area. Craig Jeffery walks us through the attack method, the loss, and the key takeaways. Listen in to learn more. More from this series: https://strategictreasurer.com/learning-from-financial-fraud-series/?utm_source=TUP312
Have you ever wondered how banks use AI to foresee and handle risks? What makes AI so effective?How does AI sift through massive data sets to detect fraud? Can AI really outsmart fraudsters?Could AI chatbots soon replace human agents? How do they boost customer satisfaction?Hey there, tech enthusiasts! Today we explore the practical applications of AI in risk management, fraud detection, and credit risk assessment with industry experts David Van Bruwaene, CEO of Fairly AI, and Michelle Allade, Director of Model Risk Management at Pathward Financials. As they share their experiences and insights on leveraging AI for a more efficient and equitable financial landscape. Watch now to Unlock the mysteries of AI in finance and see how it's shaping the future of the industry.
Some say Microsoft's Recall should be. A breach of a Texas healthcare provided affects over four hundred thousand. Police in the Philippines shut down services following a breach. Ivanti patches multiple products. GitHub fixes a critical authentication bypass vulnerability. Researchers discover critical vulnerabilities in Honeywell's ControlEdge Unit Operations Controller. The DoD releases their Cybersecurity Reciprocity Playbook. Hackers leak a database with millions of Americans' criminal records. Mastercard speeds fraud detection with AI. On our Learning Layer segment, host Sam Meisenberg and Joe Carrigan continue their discussion of Joe's ISC2 CISSP certification journey, diving into Domain 5: Identity and Access Management. Remembering a computing visionary. Our 2024 N2K CyberWire Audience Survey is underway, make your voice heard and get in the running for a $100 Amazon gift card. 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. Learning Layer On our Learning Layer segment, host Sam Meisenberg and Joe Carrigan continue their discussion of Joe's ISC2 CISSP certification journey using N2K's comprehensive CISSP training course, CISSP practice test, and CISSP practice labs. Joe and Sam dive into Domain 5: Identity and Access Management (IAM) and tackle a question together about biometric configuration. Try the question yourself before listening to the discussion! You are configuring a biometric hand scanner to secure your data center. Which of the following practices is BEST to follow? Decrease the reader sensitivity Increase the FAR Decrease the FRR Increase the reader sensitivity Selected Reading UK watchdog looking into Microsoft AI taking screenshots (BBC) How the new Microsoft Recall feature fundamentally undermines Windows security (DoublePulsar) CentroMed Confirms Data Breach Affecting an Estimated 400k | Console and Associates, P.C. (JDSupra) PNP suspends online services amid data breach probe (Philippine News Agency) Ivanti Patches Critical Code Execution Vulnerabilities in Endpoint Manager (SecurityWeek) Critical SAML Auth Bypass Vulnerability Found in GitHub Enterprise Server (Heimdal Security) Critical Vulnerability in Honeywell Virtual Controller Allows Remote Code Execution (SecurityWeek) DoD CIO debuts cybersecurity reciprocity playbook to streamline system authorizations, boost cybersecurity efficiency (Industrial Cyber) Criminal record database of millions of Americans dumped online (Malwarebytes) Mastercard Doubles Speed of Fraud Detection with Generative AI (Infosecurity Magazine) Gordon Bell, Legendary Designer of Computers, Dies at 89 (Gizmodo) Share your feedback. We want to ensure that you are getting the most out of the podcast. Please take a few minutes to share your thoughts with us by completing our brief listener survey as we continually work to improve the show. Want to hear your company in the show? You too can reach the most influential leaders and operators in the industry. Here's our media kit. Contact us at cyberwire@n2k.com to request more info. The CyberWire is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc.