CAI (Cybersecurity AI)

CAI is a Python framework for building and running AI agents that perform security operations, positioned primarily for offensive/red-team work (pentesting, CTFs, bug bounty). It belongs to the "AI-for-security" subsegment — agents that do security work — which is distinct from the "security-for-AI" guardrail tools (e.g., input/output firewalls that protect LLM apps); buyers should not treat CAI as a defensive guardrail. Vendor claims: support for 300+ models (OpenAI, Anthropic, DeepSeek, Ollama/local), multi-agent coordination with handoff mechanisms, built-in prompt-injection guardrails, human-in-the-loop intervention (Ctrl+C), and real-time tracing via OpenTelemetry/Phoenix; the vendor cites CTF and bug-bounty results as evidence of capability (treat competition results as vendor-reported). Licensing caveat (buyer-critical): despite the public repo, the core code carries a non-commercial Research-Use License — commercial, professional, or production use is prohibited without a separate paid commercial license from Alias Robotics; only the vendored agents subdirectory is MIT. Teams intending production/commercial pentest use must license accordingly. Telemetry caveat: the framework collects usage data (stated for research/model-training) by default; disable with CAI_TELEMETRY=false. Best fit for security researchers and red-teamers evaluating LLM-driven offensive automation who can honor the research-use terms or buy the commercial license.