A2A Audit Logger MCP

Guardrails service for AI agents. Default-deny tool call evaluation with LLM safety analysis, priority-ordered decision matrix, and human-in-the-loop escalations. Session recording, behavioral analysis, MCP proxy, secret redaction, and real-time audit.

Enforces organisational AI usage policies at the agent layer — blocks prohibited model calls, enforces data residency rules, logs policy violations, and ensures AI governance policies are machine-executable.

Civilian situational awareness for AI deployments — real-time risk dashboards, multi-source threat correlation, anomaly detection, and automated alerting for critical infrastructure and enterprise AI systems.

AI-powered security operations with Wazuh SIEM + Claude Desktop. Natural language threat detection, automated incident response & compliance.

This AWS Labs Model Context Protocol (MCP) server for CloudTrail enables your AI agents to query AWS account activity for security investigations, compliance auditing, and operational troubleshooting.

Cloud security insights, guardrail guidance, and compliance checking via Dawnguard.

Enables AI assistants to interact with Fleet Device Management for device management, security monitoring, and compliance enforcement.

MCP security gateway with DLP scanning (PII, secrets, API keys), prompt injection protection, Memory Vault, Bug Vault (295k+ patterns), and unified audit logging. Two endpoints: free bug search at /mcp and authenticated hub at /hub_mcp.

An MCP server for interacting with the Tenable Nessus vulnerability scanner.

The Execution Security Layer for the Agentic Era. Providing deterministic "Sudo" governance and audit logs for autonomous AI agents.