CAI (Cybersecurity AI) vs SprayingToolkit: Side-by-Side Comparison (2026)
Features, pricing, ratings, and pros & cons — compared head-to-head.
CAI (Cybersecurity AI) is a free offensive security tool by Alias Robotics. SprayingToolkit is a free offensive security tool. Compare features, ratings, integrations, and community reviews side by side to find the best offensive security fit for your security stack.
CST VerdictBased on our analysis of NIST CSF 2.0 coverage, core features, company size fit, deployment model, here is our conclusion:
Security teams at startups and small consulting firms who need LLM-powered penetration testing without licensing friction should build on CAI; the framework's 500+ supported LLMs and 15+ agents let you run offensive automation in your own environment at zero cost. The GitHub community (3,641 stars) and on-premises deployment mean you control the entire supply chain, which matters when handling client data during assessments. Skip this if your organization lacks Python engineers to customize agents or needs vendor-backed SLAs; CAI prioritizes offensive capability over the detection and response coverage that enterprise security teams typically require.
Penetration testers and red teamers targeting Microsoft environments need SprayingToolkit for its purpose-built attack chains against Lync, Skype for Business, and OWA; the modular design of Atomizer, Vaporizer, Aerosol, and Spindrift lets you chain attacks without rebuilding payloads between targets. The 1,557 GitHub stars and active maintenance reflect real adoption in assessments where off-the-shelf commercial tools either overkill the scope or lack the flexibility to handle hybrid authentication stacks. Skip this if you're looking for a polished UI or post-exploitation frameworks; SprayingToolkit is Python scripts, nothing more, and demands you understand what each tool does before running it.
