How AI-assisted engineering works today
Unmanaged laptops, shared tokens, direct repo access, and AI tools that act before security sees them.
AI Engineering Safety Lab
A live workshop for engineering, platform, and security leads rolling out Cursor, Claude Code, or MCP-connected coding agents across internal and external teams.
Agenda
Unmanaged laptops, shared tokens, direct repo access, and AI tools that act before security sees them.
Prompt injection in code comments and supply-chain package drift that traditional CI checks catch too late.
Browser isolation, device-bound identity, scoped GitHub credentials, MCP policy, and signed audit chains.
An external developer or employee asks Claude for a risky action. The gateway denies it and links prompt, MCP call, repo, and policy.
Leave with a 30-day pilot checklist: one repo, one governed agent workflow, one evidence export.
How AI coding agents bypass CI/CD and secrets scanners, where an MCP gateway fits, and how to produce a complete prompt-to-infra audit chain for security review.
One governed workflow, one repo, one MCP policy set, one audit export. The goal is a blocked action and evidence pack in the first week.
Book the pilot call