Governing AI Agents Inside the Execution Loop
What happened
Snyk's Evo Agentic Development Security (ADS) is introducing a new agent behavior governance capability, available in Open Preview, to address security risks within AI agent execution loops. This marks a significant shift from traditional application security, which focuses on post-production code analysis, to real-time governance of AI agent actions.
Why it matters
Directors of AI/ML and AI Security Engineers deploying autonomous agents must shift their security focus to real-time governance within the agent execution loop, evaluating solutions like Snyk Evo ADS to prevent unintended or risky agent behaviors.
Topics
- AI Agent Security
- Agentic Development Security
- Execution Loop Governance
- Real-time Risk Detection
Articles in this trend
- The New Security Control Point: Governing AI Agents Inside the Execution Loop — Blog RSS Feed | Snyk
- The Coming Loop — Armin Ronacher's Thoughts and Writings
- Why agentic enterprises need to become learning systems — VentureBeat
- Stop AI Agents Before They Make Risky Moves — Artificial Intelligence on Medium
- Loop Engineering — AI & ML – Radar
- I Replaced My Prompting Habit With Persistent Agents. Here’s What Broke. — Artificial Intelligence in Plain English - Medium
- What Did My AI Agent Do Last Night? — Data Science on Medium
- Why Runtime Enforcement Is Replacing Pre-Deployment Approval in Enterprise AI — HackerNoon
- Shadow agents: find and govern unsanctioned AI agents — Blog | DataRobot