AI Security

Zero-trust pre-flight repo scanner for AI coding assistants: scans a codebase's instruction surface for prompt injection and supply-chain attacks before Claude Code, Cursor, Codex, or Gemini reads it. Ships with a false-negative ledger.

A self-hosted, MIT-licensed approval layer and runtime guard for unattended AI agents. It intercepts agent actions (such as shell commands, file edits, or deployments) before execution, evaluates them against safety policies, and freezes risky actions until human approval is provided.

An AI-native security platform that provides runtime protection, data leakage prevention, and red teaming for GenAI applications, agents, and workforce AI usage.

An automated security testing and evaluation tool designed to find and fix vulnerabilities, jailbreaks, data leaks, and model risks in LLM applications, agents, and RAG pipelines.

An application security platform that combines AI reasoning with rule-based static analysis to detect, triage, and remediate vulnerabilities, dependencies, and hardcoded secrets.

An AI-powered security platform that validates AI-generated code, governs development agents, and secures AI-native applications.

A secure code execution sandbox and file system designed for AI agents, executing untrusted code in gVisor-isolated containers with a built-in job queue, workers, and execution history.