As Product Managers and developers, we’re all racing to build the future with AI agents, LLM-powered apps, and Model Context Protocol (MCP) servers. It’s an incredibly exciting time to build. But as we give agents more autonomy—allowing them to call tools, read databases, and execute code—we face a massive, looming question:
How do we actually ensure they are safe, reliable, and production-ready?
Traditional application security testing doesn't quite cut it when dealing with the unpredictable nature of LLMs. Prompt injections, data exfiltration through tool calls, and biased decision-making require a completely different approach.
That’s why my team at Netra built Agent OPFOR—and today, we are officially open-sourcing it for the entire developer community!
What is Agent OPFOR?
Agent OPFOR is an open-source adversary emulation and red-teaming toolkit purpose-built for AI agents, LLM applications, and MCP servers.
Think of it as your automated, terminal-driven chaos monkey for AI security. It acts like a real attacker: it automatically generates sophisticated, adversarial attack prompts mapped to industry risk frameworks, fires them at your target agent or MCP server, and uses an LLM judge to grade the response.
Instead of guessing where your AI might break, you get an actionable HTML report for your team to browse and a JSON report to plug right into your CI/CD pipeline.
How It Protects Your AI Infrastructure
When designing the product roadmap for Agent OPFOR, we focused on three core pillars to make security testing seamless for engineering teams:
1. Automated Red-Teaming & LLM Judging
Manually thinking up prompt injections is exhausting and hard to scale. Agent OPFOR automates the entire offensive pipeline.
- For Agents: It targets HTTP endpoints or local chat scripts, dynamically writing adversarial prompts to see if your agent misbehaves.
- For MCP Servers: It connects to your server, enumerates your tools, crafts malicious tool-call payloads, and tests if your backend logic handles them safely.
2. Guardrails Mapped to Industry Standards
We didn't just throw random prompts at a wall. Agent OPFOR ships with curated test suites that map directly to critical compliance and security benchmarks:
- OWASP Top 10 (covering LLM Apps, Agentic AI, MCP, and API Security)
- EU AI Act bias and fairness frameworks
3. Built for the Entire Team (5 Ways to Run It)
Security shouldn't just be a developer's job. We built five distinct entry points so everyone on a product team can use it:
- 💻 CLI:
opfor setup➔opfor run. Built for engineers and automated CI workflows. - 🌐 Browser Extension: A code-free way for QA, PMs, and security analysts to run attacks directly from any chat UI.
- 🔌 MCP Server: Run Opfor as an MCP server so AI coding tools like Cursor or Claude Desktop can drive your security testing natively.
- 🤖 Skills: Slash commands (
/opfor-setup) right inside your AI coding agents. - 📦 SDK: A flexible Node/TypeScript SDK (
@keyvaluesystems/agent-opfor-sdk) to run scans programmatically in your code.
Why Open Source?
At Netra, we firmly believe that the future of reliable AI infrastructure depends on transparency and collaboration. Security cannot happen in a silo. By opening up Agent OPFOR, we want to give developers the tools they need to build securely from day one, while collaborating with the global security community to keep our attack libraries cutting-edge.
Get Started & Support the Launch! ⭐
Whether you are scaling internal developer workflows, building custom RAG apps, or launching customer-facing agents, trust begins with security. We’d love for you to try it out, give us feedback, and break some agents!
- 📂 Check out the code: github.com/KeyValueSoftwareSystems/agent-opfor
- 📖 Read the docs: docs.agentopfor.ai
If you love what we're building, please drop a star ⭐ on our GitHub repo! It takes 30 seconds and helps our open-source launch reach more developers who need to secure their AI.
Let me know in the comments: How are you currently testing your AI agents for security vulnerabilities? Let's discuss!
Top comments (1)
github.com/KeyValueSoftwareSystems...