Actionable Agent Governance Framework

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Govern the full AI agent lifecycle

AI agent governance is a repeatable way to discover every agent, understand its purpose and access, monitor its behavior, prioritize risk, and enforce durable guardrails.

Based on insights from enterprise production environments analyzed for Opsin Labs’ State of Agentic Adoption 2026, this one-page framework shows security teams how to move from agent sprawl to continuous governance.

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About the Author
Gilron Tsabkevich
Gilron Tsabkevich is a Founding Engineer at Opsin, bringing experience in developing secure, scalable systems at Microsoft, where he specialized in cybersecurity, threat detection, and SIEM. His expertise spans backend development with a focus on enterprise security and AI infrastructure. He holds a BSE in Computer Science from Princeton University.
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Actionable Agent Governance Framework

Quick Guide

Govern the full AI agent lifecycle

AI agent governance is a repeatable way to discover every agent, understand its purpose and access, monitor its behavior, prioritize risk, and enforce durable guardrails.

Based on insights from enterprise production environments analyzed for Opsin Labs’ State of Agentic Adoption 2026, this one-page framework shows security teams how to move from agent sprawl to continuous governance.

Gain control of agent sprawl
Evaluate agents using business purpose, ownership, and access
Catch emerging issues earlier
Move from one-off fixes to repeatable controls
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