Blackhat 2025 presentation and codebase: AI SOC agent & MCP server for automated security investigation, alert triage, and incident response. Integrates with ELK, IRIS, and other platforms.

A set of MCP security checklists and guides for agents and MCP servers.

Govern consequential AI agent actions in Docker with deterministic policy, human approval, and signed Decision Dossiers.

250+ real-world TypeScript AI projects: workflows, agents, and multi-agent systems with production-ready architecture, not chatbot demos.

the governed runtime for agent skill workflows, off the leash but on the record

A Socratic supervision layer for AI coding agents.

Open-source adversary emulation for AI agents and MCP servers.

Deterministic safety solutions for probabilistic AI agents

Vigilante is a sandbox-first orchestration layer for coding agents. It isolates every task in a git worktree, enforces strict credential scoping, and gives you full audit logs — so your agents can't burn down production.

Unified CLI for running AI coding agents in isolated containers. Includes built-in local metrics collection, HTTP traffic tracking, and an analytics dashboard to track agent actions.

Wanaku MCP Router

Adversary simulation and Red teaming platform with AI

Run AI coding agents in hardened container sandboxes.

Give AI agents safe access to your database.

Next Generation Agentic Proxy for AI Agents and MCP servers

Build Secure and Compliant AI agents and MCP Servers. YC W23

A command-line tool that injects credentials to curl requests to known public APIs.

MCP servers for the UniFi suite of applications, Network, Protect, Access, and Drive

Composable agent runtime with enforced isolation boundaries

Enterprise AI Platform with guardrails, MCP registry, gateway & orchestrator

A security scanner for your LLM agentic workflows

ADR secures enterprise AI agents through observability, security benchmarking, and threat detection. Deployed at Uber.

OWASP Foundation web repository

The system of action for AI-native cybersecurity—where intent becomes governed execution, evidence becomes operational memory, and every operation improves the next.