agentic-radar vs garak

Side-by-side comparison of two AI agent tools

agentic-radaropen-source

A security scanner for your LLM agentic workflows

g
garakopen-source

the LLM vulnerability scanner

Metrics

agentic-radargarak
Stars1.1k9.4k
Star velocity /mo19.572192513368982782.8333333333334
Commits (90d)0225
Releases (6m)04
Overall score0.2169111565887880.6430029939451773

Pros

  • +Specialized focus on LLM agentic workflow security vulnerabilities that traditional scanners miss
  • +Includes built-in visualization tools for clear security assessment reporting and analysis
  • +Integrates with popular frameworks like CrewAI and provides easy PyPI installation

    Cons

    • -Appears to be a relatively new tool with limited documentation visibility from the provided materials
    • -May require specialized knowledge of agentic systems to effectively interpret and act on scan results

      Use Cases

      • •Security assessment of autonomous AI agent systems before production deployment
      • •Compliance auditing for organizations using LLM-powered workflows in regulated industries
      • •Continuous security monitoring of agentic systems to detect emerging vulnerabilities

        FAQ

        Which is more popular, agentic-radar or garak?
        garak has more GitHub stars (9,394 vs 1,057).
        Which is more actively developed, agentic-radar or garak?
        garak had more commits in the last 90 days (225 vs 0).
        Should I use agentic-radar or garak?
        Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.