CAI (Cybersecurity AI) vs getallurls (gau): 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. getallurls (gau) 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 bug bounty hunters doing reconnaissance will move faster with getallurls than manually querying individual URL sources; it aggregates results from CommonCrawl, URLScan, and Wayback Machine in a single pass. The tool has 4,549 GitHub stars and runs for free, making it a no-friction addition to any recon workflow. Skip this if you need real-time monitoring or filtered results; getallurls surfaces historical URLs without deduplication or relevance ranking, leaving you to sort signal from noise.
