Humanbound

Humanbound is included in the Awesome MLSecOps AI Agent and MCP Security directory. The community-maintained README describes it as: “Open-source CLI that sends LLM-generated adversarial attacks to an agent's HTTP endpoint and scores results against OWASP LLM Top 10, OWASP Agentic Top 10, NIST, and EU AI Act mappings.” Its MLSecOps relevance is the security of agent identities, tool permissions, memory, credentials, approval paths, sandboxes, runtime actions, or MCP integrations. The linked first-party source is the humanbound/humanbound repository on GitHub. A technical review should test the project's documented evidence across four criteria: Tool-level authorization, Memory and context controls, Sandbox boundaries, and Audit and approval workflows. Compare that evidence with the intended architecture and threat model. Catalog inclusion establishes relevance to this security category; it is not a certification, comparative ranking, or endorsement. Confirm current capabilities, maintenance, licensing, limitations, and deployment assumptions in the first-party documentation before adoption.

Open-source CLI that sends LLM-generated adversarial attacks to an agent's HTTP endpoint and scores results against OWASP LLM Top 10, OWASP Agentic Top 10, NIST, and EU AI Act mappings

Neutral catalog description synchronized from the Awesome MLSecOps README