AI Security Agents Compared: Claude, Codex, Mantis, and Cloudflare

A new comparative analysis evaluates how Claude, Codex, Mantis, and Cloudflare's AI security tooling perform across key security agent use cases including vulnerability detection, threat response, and automated remediation. The comparison provides benchmark-level insight into each system's strengths and failure modes, offering developers a structured framework for choosing the right AI security agent for their stack. Claude and Codex show distinct trade-offs between reasoning depth and speed, while Mantis and Cloudflare's offerings are more tightly integrated with network and application-layer security contexts. As security automation becomes a critical part of DevSecOps pipelines, understanding which AI agent fits which threat model is increasingly important. This analysis gives engineering and security teams a practical starting point for evaluating AI-driven security tooling.