q-AI is a web-based platform for security testing of agentic AI systems. It helps AI developers and organizations identify vulnerabilities and improve the robustness of their AI agents through automated analysis and reporting.
{q-AI} sits in PulseGate's LLM eval & observability category. It focuses on ensuring the security and robustness of agentic AI systems through automated testing. {q-AI} is a B2B product aimed at ai developers. {q-AI} is available on the web and the command line.
It is developed by Richard Spicer, and it first shipped in 2026. Development happens publicly on GitHub with 456 commits in the last 90 days. Among its 4 catalogued features are security testing, Agentic AI analysis, and vulnerability detection.
Summary written by a language model from the project’s public pages.
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