GatekeeperAI – self-hosted governance platform for AI apps your team is building (github.com)

GatekeeperAI has launched a self-hosted governance platform designed to enhance the safe adoption of AI applications within enterprise teams. This innovative platform automates key security processes: apps undergo rigorous security scans, human review, and are deployed in secure, sandboxed environments. With an automated multi-scanner pipeline, the system evaluates sensitive data exposure, checks for vulnerabilities, and leverages LLM-powered code review using Claude AI. Each application receives a risk tier rating, streamlining the review urgency and ensuring compliance with safety protocols. This initiative is significant for the AI/ML community as it addresses the growing concerns surrounding the security of AI applications, particularly in enterprise settings where data sensitivity is paramount. The platform is built using robust technologies like FastAPI, PostgreSQL, and Docker, guaranteeing secure and efficient deployments. Features such as encrypted secret injection, SLA enforcement for approvals, and detailed audit logging provide a comprehensive governance framework. GatekeeperAI offers a much-needed solution for organizations seeking to balance rapid innovation in AI while maintaining stringent security and compliance standards.