🛡️ AgentArmor — The First 8-Layer Security Shield for AI Agents

You let AI agents send emails, access databases, and execute code on your behalf.

But what's stopping a cleverly crafted message from hijacking your agent's actions?

• Prompt injection tricks agents into unauthorized actions
• Sensitive data leaks through unfiltered outputs
• One compromised agent cascades across your entire system

AgentArmor just launched on GitHub — the first open-source framework that wraps AI agents in 8 layers of defense-in-depth security, built against the OWASP Top 10 for Agentic Applications.

🎯 What the 8 layers protect:

• L1 Ingestion — scans inputs, detects prompt injection
• L2 Storage — AES-256 encryption at rest
• L3 Context — separates instructions from data, deploys canary tokens
• L4 Planning — validates action plans, scores risk before execution
• L5 Execution — rate limits, network controls, human approval gates
• L6 Output — auto-redacts PII and sensitive data
• L7 Inter-Agent — mutual authentication between agents, trust decay
• L8 Identity — just-in-time permissions, automatic credential rotation

Think of it as a full building security system for your AI workforce — from the front door to the vault.

It runs as a native MCP server, so Claude Code, Cursor, and Windsurf can access security tools directly. One command to set up, pip install to get started.

In an era where AI agents do more every day, security isn't optional — it's the foundation.