Agentic Development Security: How to Secure Code Your Agents Write | Endor Labs

Summary

Endor Labs describes agentic development security as the practice of securing the software development process when AI coding agents generate, select, and ship code on their own. The article covers the tools agents use, the actions they take, and the code and dependencies they produce. It cites Forrester analyst Janet Worthington's April 2026 report naming this shift.

Mitigation

To secure the code your agents write, treat every agent output as untrusted input and give each agent the least privilege it needs. Run agents in a sandbox, keep secrets out of their context, and limit which commands and network destinations they can reach. Then scan every pull request automatically, require an independent human approver for high-impact changes, and log every action an agent takes.

Topics

• AI agents

Related items

• InfoForrester gave Endor Labs the highest score possible in seven criteria, including innovation, AI application flaws, AI SCA, and AI coding toolchain. | Endor LabsSame vendor · Endor Labs Blog
• InfoRadio With No Radar: Why Agent Runtime Security Fails Without the Layers Beneath ItSame vendor · The Hacker News
• InfoMonitoring AI agent sessions: Leveraging embedding models to aid threat hunting and attack discovery workflowsSame vendor · Elastic Security Labs
• InfoWhen trust becomes the payload: Inside the threats, etc quarterly reportSame vendor · Elastic Security Labs
• InfoCrowdStrike's new kill switch can stop rogue AI agents in their tracks, CEO saysSame vendor · CNBC Technology