This webinar addressed the critical need for governance frameworks as enterprises deploy autonomous AI agents capable of taking actions across connected systems. With real-world vulnerabilities already emerging (like Asana's recent MCP server breach), organizations must implement proper controls before widespread adoption to avoid costly security incidents and operational disruptions.

👉 Download the full slide deck to revisit key frameworks, controls, and live demo takeaways.

As enterprises begin deploying autonomous AI agents, new governance challenges are emerging fast. From agent-to-agent communication risks to unclear accountability, the cost of poor oversight is only getting higher.

In this exclusive webinar replay, ModelOp CTO Jim Olsen explores how to bring safe, scalable governance to agentic AI—sharing practical strategies and live tooling examples, including:

• Why agent-to-agent interactions are a hidden vector for data leakage and risk
• The autonomy dilemma: how much control is too much—or not enough
• How enterprises are using Agent Service and MCP protocols to enforce guardrails

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Agentic AI is here. The risks are real—and avoidable.