CAI

CAI (Cybersecurity AI) is an open-source framework from Alias Robotics for building autonomous and human-in-the-loop security agents. It ships with built-in reconnaissance, exploitation, and privilege-escalation tools, a multi-agent architecture, prompt-injection guardrails, and tracing via Phoenix. The framework brokers calls across 300+ models through providers like OpenAI, Anthropic, and DeepSeek, so teams can mix general LLMs with security-specialised ones.

It is aimed at bug bounty hunters, red teamers, and security researchers who want a code-first agent stack rather than a closed SaaS dashboard. The OSS edition is free for research use; a commercial CAI PRO tier at roughly EUR 350/month adds unlimited usage of the proprietary `alias1` offensive-security model, EU-hosted GDPR/NIS2 infrastructure, an iOS TestFlight client, and vendor support. The team cites a first-place finish in HackTheBox's Human vs AI CTF and peer-reviewed benchmarks showing large speedups over manual testing.

Integration is Python-native with tooling that plugs into existing offensive workflows. The main caveats are that it is a developer framework rather than a polished product, the `alias1` model is gated behind PRO, and operators are responsible for staying within legal scope when pointing autonomous agents at live targets.