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As AI systems evolve from simple automation to agentic decision-making, strong governance and security become non-negotiable. In Part 4 of our GRC Agentic AI Roadmap series, the experts at risk3sixty break down how to establish the right guardrails, controls, and monitoring to ensure your Agentic AI program remains secure, compliant, and aligned with organizational risk appetite. You’ll learn: How to align AI initiatives with ISO 42001 and emerging governance frameworks Security best practices to mitigate AI-driven risks and model misuse How to structure oversight and accountability across your AI lifecycle What “trustworthy AI” looks like in a real-world enterprise environment Practical steps to embed AI risk management into your existing GRC program Part 1: Building the Business Case and Roadmap - • The GRC Agentic AI Roadmap: How to Impleme... Part 2: Real-World Use Cases for Agentic AI in GRC - • The GRC Agentic AI Roadmap: Real-World Use... Part 3: How to Design and Build an AI Agent - Part 4: Governance, Risk, and Security for AI in GRC - (this video) Download the Business Case PDF: https://risk3sixty.com/whitepaper/the... 00:00 - Intro and welcome 03:54 - Agenda 04:57 - Macro trends shaping the future of GRC 09:30 - Governance 13:00 - Access 22:39 - Outputs 27:18 - Agent autonomy 39:45 - LLM privacy 43:16 - Managing cost 53:07 - Security 55:31 - Q&A