
MarkTechPost: AI Security Agents Compared: Claude, Codex, Mantis, Cloudflare
Anthropic, OpenAI, Cloudflare and Google now each ship an AI agent that hunts security bugs in source code. We checked the repos, docs and technical details behind each one. The key finding: all 4 tools converge on one design. One agent finds a bug, a separate agent tries to disprove it, and only survivors get a patch. The differences are in where they run, who can use them and how much proof they demand. Key Takeaways 4 labs, 1 pattern: find, independently disprove, then patch. Cl
Four major AI labs have each released security scanning tools that search source code for bugs. All four tools use the same underlying design pattern: one agent finds potential vulnerabilities, a separate agent attempts to disprove them, and only confirmed issues receive patches. This shared approach emerged because previous AI code scanning produced extremely high false positive rates, wasting reviewer time, while also addressing the risk that attackers could use AI models to find exploitable flaws. The tools differ in where they run, who can access them, and how much verification they require before reporting findings.
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