CybeDefend started as an AI-driven application security testing platform and has evolved into what it calls "the security brain for AI agents." Rather than only scanning code after it is written, CybeDefend positions itself at the point of action: it maps your codebase so it understands what an agent is about to touch, holds the rules your team has agreed on, and decides in the moment whether a proposed edit or shell command is allowed. The result is a shift from triaging alerts to refusing unsafe actions before they happen.
The platform is installed as a lightweight agent-side integration - the install command runs through npx and hooks into popular AI coding tools including Claude Code, Cursor, OpenAI Codex, GitHub Copilot, Devin Desktop and Google Antigravity. As an agent works, CybeDefend injects relevant business rules, scans diffs for issues such as SQL injection, exposed secrets, public storage buckets, vulnerable dependencies and compromised CI actions, and intercepts destructive or policy-violating shell commands.
Rules are mined from your own repository with evidence attached, then approved by a human before they go live, which keeps the guardrails grounded in how your organisation actually works. Every rule served and every action refused is recorded, giving security teams an auditable trail covering standards such as ISO 27001 and SOC 2, and giving engineering leaders a single map of agent activity across the organisation.
