Enterprise AI: Shadow AI and Agentic Risk - CIO advice

About this episode

The episode discusses the challenges and governance of enterprise AI, focusing on shadow AI and agentic risk as technology leaders navigate evolving roles.

AI agents are entering enterprise AI faster than CIOs can govern them. Line-of-business users are vibe-coding their own tools, agents are operating with employee credentials, and foundation models are changing under running systems. In CXOTalk episode 919, Anthony Scriffignano, PhD, a prominent data scientist, and Tim Crawford, a strategic advisor to CIOs at the world's largest companies, examine what enterprise AI governance, shadow AI, and agentic risk require of technology leaders today. The discussion grounds the AI agent conversation in practical decisions: what to keep from established IT governance, what is genuinely new, and where the CIO role must evolve. YOU'LL LEARN: ✅ Why traditional regression testing breaks when foundation models, training data, and environments all change at once ✅ How shadow AI and vibe-coding by non-developers expand the threat paradigm beyond the enterprise perimeter ✅ Why HR-style policies do not transfer to AI agents, and what changes when super-agents call sub-agents through an orchestration layer ✅ Specific controls for shadow AI: sandboxes, token counting, personal Identifying Information (PII) guardrails, and watching for value leaving the…

People in this episode

Host: Michael Krigsman

Guests: Anthony Scriffignano, Tim Crawford

Topics covered

• enterprise AI
• shadow AI
• agentic risk
• AI governance
• CIO advice
• technology leadership

Keywords

• AI agents
• vibe-coding
• foundation models
• IT governance
• user role-based access controls
• autonomous agents
• shadow AI controls

Mentioned in this episode

Organizations: CXOTalk, CIO

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