Audit Trail

If you have ever run two AI coding tools on the same repository, you have already met the problem PeerBridge MCP solves: left to themselves, Claude Code, Codex, Cursor, and Gemini edit the same files as if they were separate developers who never talk to each other. PeerBridge MCP is a local-first coordination server that gives those peers a shared, auditable state layer through the Model Context Protocol, so every read, write, and commit is tracked locally and drift is caught before it corrupts your codebase. In short, it turns a group of independent AI editors into a coordinated team with a written record of everything they touched. ...

The AI governance market is on track to reach $9.2 billion by 2026 at a 25% compound annual growth rate, and 87% of enterprises will require formal AI agent governance frameworks by year end. The pressure is no longer hypothetical: autonomous agents that call APIs, write to databases, send external messages, and spawn sub-agents are in production across every regulated industry, and the window for treating governance as a future concern has closed. This guide covers the full governance stack — from regulatory mapping to RBAC design, audit logging specifications, zero-trust credential architecture, model versioning controls, and incident response playbooks — with enough operational specificity to move from awareness to implementation. ...