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AI-powered scams are evolving far beyond traditional phishing emails. Today’s attackers are using generative AI to create more believable messages, fake invoices, realistic impersonations, and highly targeted business email compromise attacks designed to pressure employees into making fast decisions. In this episode of Today in Tech, Keith Shaw speaks with Vyntra CEO Joël Winteregg about how scammers are exploiting urgency, corporate workflows, payment systems, and even video conferencing tools to make fraud more convincing than ever. The conversation explores: * How AI is changing business email compromise scams * Why urgency and stress remain the biggest attack tools * The rise of fake invoices and payment fraud * How scammers exploit weaknesses in company workflows * Why traditional phishing awareness training may no longer be enough * The growing role of banks and payment providers in fraud prevention * Why businesses of all sizes are vulnerable to increasingly sophisticated scams As AI tools become easier to access, the barriers to launching convincing scams are rapidly disappearing. This episode looks at what companies need to understand now to avoid becoming the next target.

As companies rush to deploy agentic AI across their systems, these tools are moving beyond simple automation and starting to make real decisions, take actions, and access sensitive data with limited oversight. In this episode of Today in Tech, Keith Shaw is joined by Gilad Shriki, co-founder of Descope, to break down the growing risks behind AI agents. From weak authentication models and API security gaps to data leakage and lack of visibility, they explore what happens when speed and innovation outpace governance and control. The conversation dives into real-world concerns, including agents chaining actions across multiple systems, the rise of shadow AI agents, and the challenge of accountability when something goes wrong. They also examine whether companies are ignoring the true cost of running AI at scale and what happens when the ROI question finally catches up. If your organization is deploying or considering AI agents, this is a critical reality check on what is working, what is risky, and what needs to change before things spin out of control. Watch more Today in Tech episodes for insights on AI, cybersecurity, and enterprise technology trends.

AI is no longer just analyzing financial data — it’s starting to act on it. From influencing loan approvals to detecting fraud and even laying the groundwork for autonomous financial decisions, agentic AI is pushing into territory that raises big questions about trust, control, and accountability. In this episode of Today in Tech, Keith Shaw sits down with Dominic Wellington, Director of Product Marketing at SnapLogic, to explore what happens when AI moves from advisor to operator. How are companies using AI agents in finance today? What’s holding them back? And how close are we to a world where AI systems are actually moving money? The conversation dives into real-world use cases, including loan approvals and fraud detection, the growing importance of data integration, and why many AI projects fail before reaching production. Plus, a candid discussion on the risks — from hallucinations and shadow AI to the legal and ethical challenges of handing over financial decisions to machines. If AI can make decisions faster than humans, should it? And more importantly, would you trust it?

AI has officially moved beyond experiments and into real-world production — making decisions, taking actions, and reshaping how businesses operate. But there’s a problem. Even as adoption accelerates, most organizations still haven’t fixed the one thing AI depends on: their data. In this episode of Today in Tech, Keith Shaw speaks with Gaurav Pathak, Senior Vice President of Product Management for Metadata and AI at Salesforce, about the growing “trust paradox” — where employees increasingly trust AI outputs, while leaders know their data foundations aren’t ready. They break down: Why AI adoption jumped from 48% to 69% in just one year How agentic AI is spreading faster than any enterprise tech before it Why data quality is still the #1 blocker to real AI deployment The risks of “shadow AI” inside organizations What leaders must fix now before AI mistakes hit customers and revenue As AI systems become more persuasive — and more autonomous — the cost of bad data is no longer theoretical.

Can AI move beyond being a research assistant and become an actual scientist? In this episode of Today in Tech, Keith Shaw speaks with Mayank Kejriwal, research associate professor at the University of Southern California and CEO of Grail, about the rapid evolution of AI in scientific research. From generating hypotheses to designing experiments and even writing research papers, AI is beginning to take on tasks that were once the exclusive domain of human scientists. But what does that really mean for the future of discovery?

AI is transforming businesses at lightning speed, but behind the scenes it’s creating a massive data problem that most organizations aren’t ready for. In this episode of Today in Tech, Keith Shaw chats with Western Digital’s Ahmed Shihab to break down how AI is driving an unprecedented surge in data creation, why storage is becoming a critical bottleneck, and what IT leaders need to do before it’s too late. From exploding storage costs to the shift from training to production workloads, plus the role of edge computing, cloud strategy, and agentic AI, this conversation explores the real infrastructure challenges powering the AI boom. Watch now to understand why you can’t “delete your way out” of AI data growth, but also what comes next.

Courts are no longer debating whether social media causes harm — they’re ruling that it does. In this episode of Today in Tech, Keith Shaw speaks with Lisa Strohman, founder of the Digital Citizen Academy, about the legal tipping point that could reshape the entire social media ecosystem. From landmark cases in New Mexico and California to the growing scrutiny of algorithms, advertisers, and AI, this conversation explores what accountability really looks like — and who might be on the hook next. The discussion goes beyond platforms like Meta and Google to examine the broader ripple effects: Could advertisers be held responsible for where their ads appear? Will AI companies face similar liability risks? Are businesses underestimating the reputational and legal exposure tied to these platforms? And perhaps most importantly — what does this mean for parents, schools, and the next generation of users? This isn’t just a story about social media anymore. It’s about a potential shift in how technology companies — and the companies that rely on them — are held accountable. Subscribe for more conversations with industry leaders on the biggest technology issues shaping business today.

Airports have zero tolerance for downtime — but they’re also packed with aging infrastructure, tight security requirements, and nonstop passenger pressure. In this episode of Today in Tech, host Keith Shaw sits down with Deepak Nayyar, Executive Vice President and CIO of Pittsburgh International Airport, to break down how a major airport modernizes without disrupting travelers. You’ll hear how PIT rebuilt its technology foundation — from network and Wi-Fi upgrades to segmented security architecture — and why the airport is betting on predictive analytics to keep systems running smoothly. Nayyar also shares how PIT uses vision AI and historical data to forecast security line peaks, how real-time wait times help travelers plan smarter, and what it takes to prepare for major surge events like the 2026 NFL Draft. Topics include: * Building a modern airport tech platform for the next decade * Predictive maintenance for baggage systems and operations * Vision AI for forecasting security line demand (without storing faces or PII) * Network segmentation, failover planning, and cybersecurity priorities * Passenger-facing upgrades like smart parking and real-time wait times * PIT’s xBridge innovation hub and partnerships with local robotics startups Follow TECH(talk) for the latest tech news and discussion!

Glasses-free 3D tried to take over living rooms a decade ago—and flopped. So what changed? In this episode of Today in Tech, host Keith Shaw sits down with David Fattal, founder and CTO of Leia Inc., to break down why 3D TVs collapsed (hype, lack of content, and imperfect tech) and why the next wave of glasses-free 3D could be different. We dig into the breakthroughs powering this comeback: switchable 2D/3D displays, AI-driven head tracking that preserves sharp resolution, and real-time 2D-to-3D conversion that can unlock everything from live sports to teleconferencing. Fattal also explains what “the consumer bar” means, why monitors and laptops may lead the adoption, and how phones could become the key to building the massive 3D data sets needed for true spatial AI. Watch to learn what’s real, what’s hype, and the biggest misconceptions that still hold glasses-free 3D back—plus a realistic timeline for when this tech could show up in mainstream devices.

Could AI soon have a seat on the board of directors? In this episode of Today in Tech, host Keith Shaw talks with Kevin Bocek, Senior Vice President for Innovation at CyberArk, about the rise of agentic AI in corporate leadership — starting with “AI shadow boards” that advise CEOs and potentially evolving into AI that actually votes on board decisions. They dig into why companies are exploring AI for board-level decision-making, what benefits AI agents could bring (speed, consistency, transparency for shareholders), and the biggest risks leaders can’t ignore — privileged access to sensitive financial and strategic data, accountability when AI gets it wrong, and how identity security could become the “kill switch” for powerful AI agents. It may seem like a goofy idea now, but could be looming in the future. We break down what’s real, what’s hype and what questions to ask if AI moves from advisor to decision-maker. Follow TECH(talk) for the latest tech news and discussion!