Podcasts about fraud detection

Today on the show, Al and Steve reunite in the Arizona desert to unpack the themes they have been hearing at banking conferences and boardroom meetings nationwide. Two big standouts: the practical use cases of A.I. (yes, there are some) and the surge in M&A activity. Plus, they dig into the generational shift in banking where younger consumers play the field in which financial providers they use.Chapters:[00:00] Back in the Desert — Kicking Off Plugged In[00:41] Coast to Coast: Travels and Boardroom Insights[03:09] The AI Hype Curve — Entering the Trough of Disillusionment[05:22] Real AI Wins: Chatbots, Fraud Detection & Efficiency Gains[07:24] The CFO Reality Check — Why AI Might Cost More[08:50] Finding Your Voice with ChatGPT[10:16] The Next Generation of Banking: Gen Z & Liquidity Shifts[12:54] Creating Capacity and Strengthening Franchise Value[14:08] The M&A Wave: Big Brands, Big Bets, and Faster Deals[18:15] Speed, Purpose, and the Future of BankingSubscribe to the Plugged In podcast here: https://www.crnrstone.com/gritty-insights/podcasts/plugged-in 

Ready to shield your digital marketing efforts from the pervasive threat of ad fraud? Join us as we sit down with Rich Kahn, the visionary co-founder and CEO of Anura. With over two decades of expertise, Rich takes us through his journey of identifying a critical gap in the market and developing a robust ad fraud solution. From bots to malware, discover how Anura innovatively tackles fraudulent activities, significantly safeguarding advertisers' investments. Rich unpacks the sophisticated nature of ad fraud, especially with the rise of AI, and highlights the staggering financial implications that call for urgent attention. This episode promises to equip you with the knowledge to better understand and combat ad fraud, enhancing your ROI in the competitive landscape of digital marketing. Moreover, we navigate the complexities of pricing SaaS solutions, shedding light on the balance between development costs and competitive pricing. Rich shares invaluable insights into the strategic pricing journey, from establishing credibility with initial low prices to the importance of ROI in setting rates. As we explore the ever-evolving fraud detection landscape, Rich emphasizes the necessity of standardized approaches and the potential industry growth. With only a fraction of websites employing fraud detection solutions, we delve into the future risks that digital marketing expenditures face. Tune in to learn more about Anura's groundbreaking work and its pivotal role in the ongoing battle against ad fraud. Don't miss this opportunity to stay ahead of the curve in effectively managing your digital marketing investments. Timestamps 00:00:01 - Introduction and Welcome to Business Legacy Podcast   00:00:45 - Introduction to Rich Kahn and Anura's Origins   00:02:15 - Rich Kahn's Early Days and the Genesis of Anura   00:03:30 - Understanding Ad Fraud: Bots, Malware, and Human Actors   00:05:10 - The Role of AI in Fraud Detection and Challenges Faced   00:06:45 - Financial Impacts of Ad Fraud on Digital Marketing   00:09:03 - Introduction to Pricing Strategies for SaaS Solutions   00:10:00 - Balancing Development Costs and Competitive Pricing   00:11:30 - Importance of ROI in SaaS Pricing Models   00:12:45 - Grassroots Approach to Building an Initial Client Base   00:14:15 - Enhancing Fraud Detection Accuracy and Industry Challenges   00:15:30 - Importance of Standardization in Fraud Detection   00:16:45 - Anura's Commitment to Accuracy and Reliability   00:18:00 - Growth Potential in Fraud Detection and Industry Insights   00:19:30 - Parallels Between Digital Marketing Expenditure and the Dot-Com Bubble   00:20:45 - Conclusion and Final Thoughts from Rich Kahn   00:21:30 - Where to Find More Information About Anura   Episode Resources: Connect with Rich here and find more out about fraud with an ebook and guides:  https://www.anura.io/ Legacy Podcast: For more information about the Legacy Podcast and its co-hosts, visit businesslegacypodcast.com. Leave a Review: If you enjoyed the episode, leave a review and rating on your preferred podcast platform. For more information: Visit businesslegacypodcast.com to access the shownotes and additional resources on the episode.

In this episode of One Vision, we welcome Martyna Lewinska, a seasoned technologist, startup advisor, and mentor. Martyna shares her extensive experience in building tech organizations, supporting founders as a fractional CTO, and launching successful products. We discuss the responsibilities and challenges of being a founder, the importance of execution, and the current landscape of implementing emerging technologies like AI. Martyna shares her insights into how companies can effectively adopt new technologies and the transformative opportunities that exist in financial institutions' use of AI. Tune in for a deep dive into the multifaceted world of technology and entrepreneurship.00:00 Introduction and Guest Welcome00:46 Martyna's Background and Journey01:42 Building and Launching Products05:02 Advice for Aspiring Entrepreneurs06:01 Challenges and Misconceptions of Founders10:41 Implementing Emerging Technologies15:01 Fraud Detection and Financial Crime17:58 Cultural Differences in Tech Adoption22:27 Looking Back and Looking Forward 

This September, Frogo invites you to stand #D183 at SBC Summit in Lisbon to discover how the company is redefining the fight against fraud with intelligence, speed and a clear mission: to help businesses convert losses into profit. From September 16 to 18, Frogo's team will be on-site to present its latest platform updates - including a real-time alerting system - designed to notify teams of suspicious activity the moment it appears. Whether it's unexpected traffic, strange user behavior or subtle signals of fraud buried deep in the data - Frogo helps businesses stay one step ahead, always. Frogo at SBC Summit Visitors will get a chance to see how Frogo brings together device intelligence, AI scoring and visual forensics into one unified space. The result? A flexible, customizable solution that's already protecting companies in iGaming, e-commerce, fintech and CRM. But Frogo's presence in Lisbon is about more than tech: "We're here not just to show new features," says Frogo CEO Volodymyr Todurov. "We're here to spark a conversation about what it means to fight fraud today and how we can shift from simply reacting to risk, to predicting and preventing it. That's our mission." Where to Find Frogo Frogo will be present at booth #D183, where the team will demonstrate how its platform helps organizations reduce losses, accelerate decision-making and strengthen customer trust without adding complexity. The booth will be open to all attendees - whether actively searching for a new solution, exploring market options, or simply interested in learning more about the technology. Two activities will be available for visitors: First, those who book a demo during the event will receive simplified terms: no setup or integration fees, payment only for transactions processed through scoring and consolidated billing across multiple brands without extra charges. In addition, Frogo provides regular analytics support, including monthly reviews and reports. Second, the booth will feature an interactive challenge inviting participants to try their hand at detecting fraudulent activity. Winners will receive exclusive branded merchandise designed with an emphasis on practicality and everyday use. About Frogo Frogo is a next-generation anti-fraud product built for companies that take fraud seriously. With solutions that combine device fingerprinting, AI-powered scoring and forensic-level analysis. Frogo empowers teams to detect smarter, respond faster and act with confidence. See more breaking stories here.

Maksym Tkach, Chief Technology Officer at Frogo, sits down with us to discuss the company's breakthrough innovations in fraud prevention. From solving the hardest latency challenges in real-time detection to building a scalable, cloud-native architecture with Go and microservices, he shares how Frogo became the trusted partner for high-risk industries like fintech and iGaming. What's the biggest technical challenge you solved while building Frogo's real-time fraud detection engine? That's a great question. The single biggest challenge was resolving the fundamental conflict between detection complexity and real-time performance. Our clients, especially in fintech and iGaming, need to evaluate dozens, sometimes hundreds of data points and rules in a single transaction. But they also have strict SLAs, often under 500 milliseconds, because any added latency directly costs them money in lost conversions or rejected transactions. Doing both seemed impossible. Our breakthrough came when we broke the problem down into two parts: rule orchestration and data retrieval. For rule orchestration, we found that standard sequential rule engines were too slow. Many rules could be run in parallel, but some depended on the output of others. To solve this, my team and I designed a proprietary dependency graph execution engine we call 'LTee'. It stands for Layered Tree. Before processing a transaction, LTee analyses the entire rule set and organises it into layers. Layer 1 contains all independent rules that can be executed in parallel immediately. Layer 2 contains rules that depend on Layer 1's results, and so on. This model allows us to achieve maximum parallelisation while respecting data dependencies. In the worst case, it runs sequentially but for most transactions, it dramatically reduces execution time. For data retrieval, the bottleneck was calculating complex aggregations on the fly, for example, 'What's the 95th percentile of this user's transaction amount over the last 7 days?'. Querying a traditional database for this during a transaction is a non-starter for our latency budget. So, we made a strategic trade-off. We use Aerospike as a specialised time-series aggregation store. We pre-calculate and store metrics like standard deviation, percentiles and averages across various time windows and granularities. It consumes more storage, but it turns a computationally expensive query into a simple, sub-millisecond key-value lookup. For high-cardinality counts, like 'how many distinct devices has this user logged in from?', we use the proprietary approach algorithm to get near-instant, memory-efficient estimates. By combining these solutions, we turned our engine from a sequential process into a highly parallelised system fueled by pre-computed data. The result was a reduction in our p99 latency from over 5000ms to under 300ms, even with complex rule sets. This didn't just meet our SLAs; it became our core competitive advantage and allowed us to win major clients who had previously found other systems to be too slow. Why did you choose Go and a microservice architecture, and how has it shaped Frogo's scalability? This was a foundational decision driven by our need for performance, reliability, and developer velocity. For the language, we chose Go for three specific reasons: 1. Exceptional Concurrency for Our Workload: Fraud detection is an I/O-bound problem. For a single API call, we might need to fetch user data from Aerospike, check a device fingerprint, and query a 3rd party service simultaneously. Go's goroutines are lightweight and perfect for this. We can fire off thousands of concurrent operations efficiently, which is key to keeping our latency low. A language with heavier threads, like Java, would have been far less resource-efficient for our specific use case. 2. Performance and Simplicity: We adhere to the KISS principle. Go is simple to read and write, which speeds up onboarding for new engineers and reduces bugs. Critically, i...

In this episode of One Vision, we welcome Martyna Lewinska, a seasoned technologist, startup advisor, and mentor. Martyna shares her extensive experience in building tech organizations, supporting founders as a fractional CTO, and launching successful products. We discuss the responsibilities and challenges of being a founder, the importance of execution, and the current landscape of implementing emerging technologies like AI. Martyna shares her insights into how companies can effectively adopt new technologies and the transformative opportunities that exist in financial institutions' use of AI. Tune in for a deep dive into the multifaceted world of technology and entrepreneurship.00:00 Introduction and Guest Welcome00:46 Martyna's Background and Journey01:42 Building and Launching Products05:02 Advice for Aspiring Entrepreneurs06:01 Challenges and Misconceptions of Founders10:41 Implementing Emerging Technologies15:01 Fraud Detection and Financial Crime17:58 Cultural Differences in Tech Adoption22:27 Looking Back and Looking Forward

AI is transforming industries worldwide, with banking at the forefront of this revolution. The fintech sector offers unprecedented opportunities to modernize financial services and make them more accessible to everyone.Join us for an insightful discussion with two industry leaders: Lutz Finger from Cornell University and Colin Walsh, Founder and Board Director of Varo Bank — the first fintech company to receive a U.S. national banking license.Our panel will explore how AI is revolutionizing banking, ways to expand financial access through technology, opportunities for disruption in fintech, and why successful implementation matters more than the technology itself.Don't miss this opportunity to learn how AI is shaping the future of financial services. Follow eCornell on Facebook, Instagram, LinkedIn, TikTok, and X.

www.marktreichel.comhttps://www.linkedin.com/in/mark-treichel/Former NCUA Executive Director Mark Treichel talks with Ray Ragan, CIO of Securityplus Federal Credit Union, about taking AI beyond fraud detection and call center scripts. Ray shares how credit unions can use the NIST AI Risk Management Framework to build board-approved policies, leverage AI for strategic planning, and embrace Agentic AI to stay competitive. You'll hear why human accountability matters, how to break down organizational silos, and why waiting for AI guidance could leave your credit union behind.

Welcome to the award-winning FCPA Compliance Report, the longest-running podcast in compliance. In this episode, Tom Fox welcomes back Vince Walden, CEO of konaAI, a Covasant company. In this podcast, they take a deep dive into the UK's Failure to Prevent Reporting (FTPR) offense, particularly in the context of vendor interactions and employee-third-party relations. Walden advocates for the implementation of robust compliance and fraud risk management programs, leveraging AI and machine learning to detect high-risk transactions and enhance business efficiency. He also highlights the global relevance of regulations like the UK Economic Crime and Corporate Transparency Act, stressing the necessity of robust fraud prevention measures to ensure compliance in a rapidly evolving legal landscape. Key highlights: Addressing Various Fraud Offenses Under ECCTA Effective Fraud Prevention Procedures for Compliance Programs Enhancing Fraud Risk Analysis in Financial Processes Enhancing Fraud Detection Through Risk Assessment Resources: Vince Walden on LinkedIn konaAI, a Covasant company Click here for the konaAI White Paper Rethinking Compliance: Practical Steps for Adapting to the UK's New Fraud Legislation. Tom Fox Instagram Facebook YouTube Twitter LinkedIn For more information on the use of AI in Compliance programs, 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

In this episode of the SMSF Experts Podcast, Shelley chats with Sharlene Anderson, Director of Veritas Forensics and registered company auditor, to expose the uncomfortable truth about SMSF fraud. From Melissa Caddick's doctored CommSec statements to Trio Capital's sophisticated $180 million heist, Sharlene reveals why the real problem isn't how clever fraudsters are—it's how trusting Australians are.Sharlene shares insights from over 15 years of experience as they discuss everything from AI-generated documents to crypto scams and referral networks that look legitimate until you dig deeper. Shelley and Sharlene explain why SMSFs are particularly vulnerable targets and how professional scepticism across auditors, accountants, and advisors is crucial for protection.(01:24) From Audit to Forensics - Sharlene's Journey into Fraud Investigation(02:48) Why "It Happens to Other People" is Dangerous in SMSFs(04:12) Australian Trust Culture - Why We're Perfect Targets for Fraudsters(05:12) The Professional Gap - When Trustees Act Without Consulting Experts(07:24) The Psychology of Victims - Why Intelligent People Fall for Scams(10:24) Red Flags and Professional Scepticism - What to Look For(13:12) Sophisticated vs Simple Scams - Caddick, Trio Capital and Storm Financial(16:00) How Trio Capital Exploited Regulatory Loopholes(18:24) The Demographics Problem - Why SMSF Members Are Vulnerable(20:12) The Ponzi Playbook - How Small Investments Become Big Losses(23:24) The Insurance Gap - Why SMSFs Don't Have Safety Nets(25:12) AI and Technology - The New Frontier of Fraud(28:00) Professional Obligations - Auditors vs Accountants in Fraud Detection(30:24) Trustee Behaviour Red Flags - Timing and Document Anomalies(35:24) The Litigation Reality - Who Pays When Fraud Happens(37:24) Fee Pressure vs Quality - The Dangerous Race to the Bottom(40:48) The Future of SMSF Fraud in an AI World(43:00) War Story - The $300,000 Family Betrayal Follow Shelley: LinkedinFor more episodes and to sign up for the ASF Audits newsletter, please visit asfaudits.com.au

In this episode, Craig Jeffery and Brian Weeks explore homomorphic encryption, an emerging encryption method that allows data to be processed while still encrypted. They discuss how it works, why it matters, and potential future applications in finance, benchmarking, and fraud detection. When will it become relevant to treasury? Listen in for a forward-looking perspective.   For a deeper technical dive, check out these videos: https://youtu.be/SEBdYXxijSo https://youtu.be/lNw6d05RW6E

Welcome to iGaming Daily's 'Road to Lisbon', a limited  series spotlighting the standout themes and expert insights featured at the SBC Summit Lisbon, happening from September 16–18. In this episode, SBC Noticias's Business Journalist, Ana Maria Menezes speaks with Bárbara Teles, Legal and Compliance Director at Stake Latin America and Co-Founder of AMIG (Women in Gaming Association in Brazil). Together, they explore the panel topic “KYC: Lessons Out of Industry – What Can Tech Teach Us?”, offering listeners a strategic preview into how Know Your Customer practices from outside the gambling sector can elevate compliance within iGaming.Barbara dives deep into how technology-driven KYC models from sectors like banking can revolutionise fraud prevention, customer verification, and anti-money laundering efforts in betting. Drawing on Brazil's Pix payment system, she explains how speed, traceability, and user data insights can set a new compliance benchmark. However, adapting these fast-moving, app-based solutions to the rigor of gambling regulations poses unique challenges, from age verification to source of funds checks.The conversation also shines a light on diversity and accessibility in compliance technology. Barbara addresses Brazil's diverse user base, calling for multi-channel KYC strategies that extend beyond biometrics. Additionally, the episode amplifies the voice of women in gaming, spotlighting Barbara's leadership at Stake LatAm and the impactful work of AMIG and SBC's Women Empowerment Initiative.Host: Ana Maria MenezesGuest: Bárbara TelesProducer: Anaya McDonaldEditor: James RossiGaming Daily is also now on TikTok. Make sure to follow us at iGaming Daily Podcast (@igaming_daily_podcast) | TikTok for bite-size clips from your favourite podcast. Finally, remember to check out Optimove at https://hubs.la/Q02gLC5L0 or go to Optimove.com/sbc to get your first month free when buying the industry's leading customer-loyalty service.

Brian Gilman is the Chief Marketing Officer of ThetaRay, a fintech company that provides AI-powered solutions to detect and prevent financial crimes like money laundering, fraud, and terrorist financing. In this episode, KJ and Brian Gilman explore how AI is transforming the fight against financial crime in the banking industry. They discuss the limitations of legacy rules-based systems, the power of AI-driven pattern recognition, and the future of compliance and risk management. Key Takeaways: 03:00 – The State of Financial Crime 20–30% of global financial transactions may be linked to crime. $4B+ in fines for money laundering in 2023 alone. 07:00 – How AI Changes the Game AI identifies hidden patterns and criminal networks. Reduces false positives, enabling secure growth in high-risk markets. 10:00 – Marketing Disruptive Tech Messaging to C-suite: focus on pain points and compliance needs. The shift from traditional marketing funnels to meeting-based metrics. Quote of the Show (19:00): "AI has been one of the greatest enablers, but it has also been one of the greatest levelers of technology that I've ever seen. “ – Brian Gilman Join our Anti-PR newsletter where we’re keeping a watchful and clever eye on PR trends, PR fails, and interesting news in tech so you don't have to. You're welcome. Want PR that actually matters? Get 30 minutes of expert advice in a fast-paced, zero-nonsense session from Karla Jo Helms, a veteran Crisis PR and Anti-PR Strategist who knows how to tell your story in the best possible light and get the exposure you need to disrupt your industry. Click here to book your call: https://info.jotopr.com/free-anti-pr-eval Ways to connect with Brian Gilman: LinkedIn: https://www.linkedin.com/in/bgilman1/ Company Website: thetaray.com How to get more Disruption/Interruption: Amazon Music - https://music.amazon.com/podcasts/eccda84d-4d5b-4c52-ba54-7fd8af3cbe87/disruption-interruption Apple Podcast - https://podcasts.apple.com/us/podcast/disruption-interruption/id1581985755 Spotify - https://open.spotify.com/show/6yGSwcSp8J354awJkCmJlDSee omnystudio.com/listener for privacy information.

This episode examines how generative AI is fundamentally changing ERP systems and financial decision-making. It explores AI's role in enhancing cash flow management, forecasting, and scenario modeling by integrating diverse data sources and automating complex analyses. The discussion highlights AI-driven hyper-personalized financial strategies, fraud detection, and cross-system communication, showing how AI helps manage uncertainty and volatility. It also addresses the importance of data quality, governance, potential biases, and risks in deploying AI in finance, emphasizing the ongoing value of ERPs as trusted platforms in a complex digital ecosystem.

Tehillah Niselow speaks to Dr Musa Gumede, Chief Executive & Registrar at Council for Medical SchemesSee omnystudio.com/listener for privacy information.

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

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.

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 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/

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