Episodios

  • Inside Shadow AI: The Hidden Cyber Threat Already Inside Your Company

    Inside Shadow AI: The Hidden Cyber Threat Already Inside Your Company
    Nov 20 2025
    Shadow AI is already inside your company—and your security team can’t see it. Employees are using AI tools without approval, confidential data is leaking into public LLMs, and attackers are weaponizing AI faster than we can secure it. In this episode of Today in Tech, host Keith Shaw is joined by Etay Maor of Cato Networks, a cybersecurity expert and adjunct professor at Boston College, to reveal how Shadow AI is now one of the biggest threats to enterprise security. We discuss how AI tools slip past IT monitoring, why AI is now the weakest link, how attackers jailbreak AI models, and why agentic AI could open the next wave of cyberattacks. Etay also shares real-world cybercrime examples using AI—and what companies MUST do now to gain AI visibility, enforce policies, and prevent data leaks. Topics Covered: What is Shadow AI and why is it dangerous? 38% of employees sharing sensitive data with AI tools Why 90% of enterprise AI use is invisible AI misuse by employees and insider risks Jailbroken AI models and zero-knowledge threat actors AI-powered phishing, deepfakes & identity fraud Agentic AI and excessive permissions How to monitor, detect and contain Shadow AI
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    46 m
  • Why AI upskilling is failing, and how you can fix it | Ep. 255

    Why AI upskilling is failing, and how you can fix it | Ep. 255
    Nov 18 2025
    In this episode of Today in Tech, host Keith Shaw is joined by Yvette Brown, co-founder of XPROMOS and a leading voice in generative AI education. They dive deep into the growing disconnect between AI adoption and employee readiness — with new research revealing that many AI projects are failing because upskilling efforts are falling short. Yvette breaks down: * Why relying on a “Debbie the AI gal” approach won't scale * How AI “work slop” is flooding organizations with low-quality content * What causes the “garbage in, garbage out” problem * Why iteration, specificity, and context are critical when prompting * The surprising power of tools like deep research and agentic AI pilots They also explore practical AI fluency tips for marketers, managers, and knowledge workers, plus discuss whether the holiday shopping season could be a breakthrough moment for consumer-facing AI agents. Don’t miss this episode if you care about: * Upskilling your team for AI success * Avoiding common prompt engineering mistakes * Using AI as a true collaborator — not just a shortcut * Navigating the rise of agentic AI safely Watch now and take on Yvette’s AI homework challenge: Ask an AI to analyze your job and help you work smarter.
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    46 m
  • The hidden legal dangers of AI hiring tools, agentic decision-making | Ep. 254

    The hidden legal dangers of AI hiring tools, agentic decision-making | Ep. 254
    Nov 11 2025
    As companies rush to implement AI and automated decision-making tools, they may be walking into a legal minefield. On this episode of Today in Tech, host Keith Shaw speaks with attorney Rob Taylor from Carstens, Allen & Gourley about the growing legal risks tied to agentic AI, automated hiring, and the rise of ADM (automated decision-making) regulations. Rob breaks down: * Why AI tools used in hiring and insurance may trigger liability * How companies are getting ADM compliance wrong * What laws already apply even without new AI regulations * Real-world examples like credit scoring, job screening, and sentiment analysis * Why disclosure, explainability, and data retention are essential * Who’s liable: the company or the AI developer? Chapters 00:00 Legal risks in AI and ADM 01:00 Common mistakes companies make 06:00 High-risk use cases: hiring, credit, insurance 10:00 Disclosure and consent pitfalls 15:00 Explainability and record-keeping laws 20:00 Unintentional bias in hiring algorithms 28:00 Who is liable: developer or deployer? 34:00 What future lawsuits might target 37:00 Fixing flawed AI governance 41:00 Litigation as the great teacher
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    45 m
  • Why Zero Trust is struggling, and how AI could save it | Ep. 253

    Why Zero Trust is struggling, and how AI could save it | Ep. 253
    Nov 4 2025
    Zero trust was once the leading cybersecurity strategy, but has it lost momentum? In this episode of Today in Tech, host Keith Shaw speaks with Morey Haber, Chief Security Advisor at BeyondTrust, about whether zero trust is failing or simply misunderstood. They explore why many companies struggle to implement zero trust effectively, the gap between intention and execution, and how vendor marketing may have added confusion to the conversation. Morey explains why identity and privileged access management are now critical, how lateral movement works during attacks, and why many AI agents are dangerously over-privileged. Topics include: The misconception that zero trust is a product How AI is reshaping the need for zero trust The role of identity in modern cybersecurity Real-world deployment challenges and mistakes Why secure-by-design is often an afterthought This episode is ideal for IT leaders, cybersecurity professionals, and anyone looking to better understand how zero trust fits into a world increasingly influenced by AI.
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    37 m
  • Why AI is thought of as a ‘friend’; could agents do your shopping? | Ep. 252

    Why AI is thought of as a ‘friend’; could agents do your shopping? | Ep. 252
    Oct 28 2025
    Are shoppers starting to trust AI like a person? Host Keith Shaw talks with Brett Leary of Accenture about research showing users treat GPT-style tools as trusted advisors — and how that shifts product discovery, brand loyalty, and the future of shopping agents.
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    44 m
  • AI certifications: Hype or helpful? | Ep. 251

    AI certifications: Hype or helpful? | Ep. 251
    Oct 21 2025
    In this episode of Today in Tech, host Keith Shaw is joined by Sydnee Mayers, Product Lead for AI at Cribl, to explore the fast-growing world of AI certifications. As tech companies, cloud providers, and universities race to offer AI training programs, how can professionals know which certifications matter — and which ones might be outdated before you even finish them? We break down: The explosion of AI certifications post-ChatGPT The most popular programs (Microsoft, Amazon, Google, Andrew Ng) Why developer skills don’t always translate to working with AI The difference between a “course” and a real certification How employers actually view AI certs in hiring decisions The skills (like prompt engineering) that still aren’t being formally taught The lack of certifications for non-technical roles (sales, marketing) Why AI certifications may never become standardized — and what to do instead
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    37 m
  • AI in hiring and the new freelance economy | Ep. 250

    AI in hiring and the new freelance economy | Ep. 250
    Oct 14 2025
    AI is reshaping both sides of the job market—from how companies hire to how freelancers win work. In this episode of Today in Tech, host Keith Shaw talks with Dave Bottoms (SVP & GM of Marketplace at Upwork) about AI-powered hiring, instant interviews, the surge in demand for AI skills, and how freelancers can stay competitive without losing the human creativity and judgment that clients value. What you’ll learn: How AI is changing recruiting and interviews (speed, fairness, transparency) The freelance skills in highest demand (prompting, model training, AI integration) Smart ways freelancers use AI to boost productivity—without sacrificing quality Trust, bias, and the future role of AI agents in the freelance economy Watch to see how to thrive in the new freelance economy shaped by AI.
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    34 m
  • What most companies miss about AI readiness | Ep. 249

    What most companies miss about AI readiness | Ep. 249
    Oct 7 2025
    Most companies are racing to adopt generative and agentic AI — but many are skipping the most important steps. In this episode of Today in Tech, host Keith Shaw is joined by Prem Natarajan, EVP, Chief Scientist, and Head of Enterprise AI at Capital One, for a candid discussion about what true AI readiness looks like in the enterprise. Learn why flashy demos aren’t enough — and what organizations must invest in to move beyond experimentation: Why data quality, cloud architecture, and talent are non-negotiables How Capital One built its own AI agent platform (and why most companies can’t yet) The difference between outputs vs. outcomes in agentic AI What “human in the loop” really means in 2025 Why trust must be earned — by the technology The overlooked role of governance, risk, and strategic patience AI success starts long before the first model is deployed.
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    49 m