Agent Immune is an adaptive threat intelligence tool designed to provide AI agent security by assessing, scanning, and hardening agent inputs/outputs. It leverages both regex and semantic memory to detect direct and rephrased attacks, handle input/output scanning, enforce rate limiting, and supports multi-turn escalation and prompt hardening. It's suitable for developers and enterprises deploying AI agents who require security capabilities beyond static governance rules, and can be integrated via Python or as an MCP server.
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Comprehensive guides and API references for implementing Agent Immune.
Insights and updates related to security measures for AI agents.
Comprehensive guide on installation, features, and usage of Agent Immune.
Insights and updates on security practices for AI agents and the use of Agent Immune.