AI Doesn’t Fail — It Drifts (The Risk Leaders Keep Missing) with Aby Rao S1E5 скачать в хорошем качестве

AI Doesn’t Fail — It Drifts (The Risk Leaders Keep Missing) with Aby Rao S1E5

AI doesn’t usually fail loudly. It drifts, quietly, gradually, and often invisibly, and that’s what makes it dangerous. In this episode of The Cyber Mettle Podcast, Alyson Laderman and Dr. Omar Sangurima are joined by cybersecurity and AI security leader Aby Rao to unpack the risks organizations miss when they treat AI as a one-time deployment instead of a living system that requires ongoing oversight. The conversation cuts through AI hype to focus on what actually breaks in practice: model drift, unclear ownership, weak governance, and the false comfort of “responsible AI” with no one truly accountable. The panel also explores shadow AI, data leakage risks, and what small and mid-sized organizations can realistically do without enterprise-scale budgets. The episode closes with a grounded look at what’s ahead — why GenAI is becoming table stakes, where agentic AI has real limits, and why AGI remains the wildcard leaders should watch carefully. This is a practical, leadership-focused discussion for executives, security professionals, legal teams, and anyone responsible for deploying AI in real organizations — not just talking about it. Chapters / Timestamps 00:00 – Introduction & Episode Focus Why AI maintenance, not novelty, is the real leadership challenge 01:00 – Aby Rao’s Background in Cybersecurity & AI From IAM and cloud security to AI risk and governance 02:10 – AI Doesn’t Break — It Drifts Why model drift is more dangerous than outright failure 04:00 – “Set It and Forget It” Is a Myth Why AI requires continuous operations, not one-time installs 05:00 – Measuring Success: Goals, KPIs, and Drift Indicators How organizations should track whether AI is still doing what it was designed to do 07:00 – Governance, Audits, and Independent Oversight Why AI ecosystems need external perspectives — not just builders 08:30 – Responsible AI: Everyone’s Job, No One’s Owner The accountability gap holding organizations back 10:30 – Ethics, Incentives, and the Missing Role of AI Ownership Why “responsible AI” struggles without clear leadership 12:00 – Regulation, Liability, and Why Case Law Will Matter How accountability will likely be enforced before legislation catches up 14:00 – Healthcare, Bioethics, and Where AI Ethics Already Exists Why some industries are ahead of others on ethical guardrails 15:30 – Frameworks vs. Reality Why NIST AI RMF helps — but isn’t enough on its own 16:00 – Start With Business Goals, Not Technology Why buying AI first and figuring out value later is risky 18:00 – AI Isn’t New — We’ve Been Automating for Years Reframing AI as evolution, not revolution 20:00 – Shadow AI and Data Leakage Risks How employees quietly introduce risk using unsanctioned tools 21:30 – AI DLP and Monitoring Without Policing How organizations can detect misuse without killing productivity 23:30 – Practical Advice for Small Businesses Affordable steps: training, secure browsers, and awareness 25:30 – AI in 2026: What Changes and What Doesn’t GenAI as table stakes, agentic AI’s ceiling, and AGI’s potential impact 28:30 – What Aby Is Watching Next Tracking AI maturity, leadership ownership, and real-world execution 29:30 – Closing & Where to Find More from Aby Rao