DevArmor creates clear mitigations, audit‑ready evidence, and a living review that stays current as the design evolves. It then enforces it during code generation and review. All of this happens inside tools that devs and agents already use: Jira, Google Docs, VS Code, GitHub, ...
Unblock your developers with real-time,
in-workflow security feedback
Replace slow, manual reviews with a concise, AI‑assisted workflow. DevArmor identifies design gaps, recommends controls, and ties each requirement to concrete checks your pipeline can run.
Every review draws on your unified security context, so feedback reflects your architecture and your policies, not generic best practices.
Built for the agentic development lifecycle.
DevArmor automatically creates custom rule sets for AI platforms, so every piece of AI-generated code follows your organization’s security and compliance policies.
Every agent in DevArmor loop reads from the shared context and writes back to it. Nothing falls through the cracks. Every review, every policy, every enforcement decision, every exception becomes part of what the system knows about your organization, which makes the next decision faster, cheaper, and more precise.
Amir Kavousian & Rami McCarthyThis article is co-authored with Rami McCarthy, Principal Security Researcher and prolific author of security blogs (ramimac.me). You can also find him on LinkedIn (linkedin.com/in/ramimac/).
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