Why AI Governance Matters More Than Ever
summary
Enterprises move from proofs of concept to productionizing agentic systems that connect LLMs to tools and other agents, creating real risks: prompt injection, unexpected hallucinations, and unauthorized leaks of PII when agents access tools they shouldn’t. Governance means audit trails, access controls, tool sandboxes and monitoring for loop drift; OWASP’s AI Top 10 guidance is already used. Regulators split—EU AI Act enacts August while ~33 countries adopt similar rules—so deployments require compliance plus runtime safety controls.
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chapters (6)
- 0:00Introduction
- 0:20AI governance and enterprise adoption
- 2:26Security risks in agentic AI systems
- 3:45Global AI regulation and government response
- 5:43The future of AI adoption
- 6:50AI as an invisible everyday technology
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