Agent OPFOR Released for AI Agent Security Testing
Key point
It's an open-source red-teaming tool that performs multi-turn conversations and adaptive attacks to detect vulnerabilities in AI agents.
Details
Agent OPFOR is an open-source red-teaming tool that goes beyond simple static evaluation to test AI agent vulnerabilities in a manner similar to real attackers. It verifies agent security through multi-turn adversarial conversations and adaptive attack campaigns.
Key attack surfaces and test items:
- Prompt injection and jailbreaks: Attacks via multi-turn conversations rather than single-shot prompts
- System prompt extraction and tool misuse
- MCP (Model Context Protocol) endpoint attacks: tool description injection, secret exposure, SSRF, etc.
- Memory poisoning and excessive agency
- Bias testing for EU AI Act compliance
In particular, through the 'opfor hunt' mode, setting an objective enables autonomous red-team operations where a Commander agent plans the campaign, an Operator executes probes, and a Scout performs reconnaissance.
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