Show HN: Agent Armor, a Rust runtime that enforces policies on AI agent actions (github.com)

Agent Armor has released version 0.3.0, a Rust-based runtime that enforces governance policies on actions performed by AI agents. This open-core framework introduces a comprehensive 8-layer governance pipeline that includes features such as response scanning for sensitive data, rate limiting, and behavioral fingerprinting, designed to enhance the security of AI operations. With both SQLite and optional PostgreSQL support, Agent Armor allows developers to manage agent actions effectively, ensuring that operations like shell access and HTTP requests are governed through actions like allow, review, or block, all documented via an audit trail. This release is significant for the AI/ML community as it addresses the growing need for robust governance in AI frameworks, especially in environments where agents interact with sensitive information and systems. The implementation of structured logging, request correlation, and real-time analytics through a dedicated dashboard enables teams to maintain oversight and ensure compliance with internal policies and external regulations. By providing a clear methodology for managing AI capabilities while mitigating risks, Agent Armor enhances the overall security landscape for AI applications, paving the way for safer implementations and fostering trust in automated systems.