Introducing Coding Agent Governance: Using Hooks to Bring Visibility to the ADLC

AI coding harnesses such as Claude Code and Cursor are increasingly used by software development teams for tasks ranging from writing code to executing shell commands, but their capabilities also present security risks if not properly managed. To address these concerns, a security layer known as "hooks" is utilized, which provides a deterministic and auditable means to oversee the actions of AI agents. Hooks work by intercepting lifecycle events within the coding harness, allowing scripts to determine whether specific actions should be allowed, denied, or modified, thereby offering an additional layer of security beyond the AI model itself. This system is supported by platforms like Endor Labs, which centralize policy enforcement and audit trails, ensuring consistent application of security measures across all developers' environments. Hooks, while simple in concept, are crucial for enabling enterprise security teams to adopt AI coding agents with confidence, enabling auditability, policy enforcement, and protection against unauthorized actions.

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