Functionality: Runs containerized apps in sandboxed environments using AI agents that combine code and runtime context to detect SQL injection, XSS, command injection, business logic flaws, and authentication/authorization issues. Features: Deep contextual analysis (code+runtime), zero noise (reproducible scripts), validated remediations (fixes tested in environment), adaptive AI agents (no manual tuning). Target Users: Development teams and security engineers. Core Advantages: Simulates real attack scenarios in controlled environments achieving coverage beyond traditional scanners, providing reproduction steps and tailored remediation. Typical Workflow: GitHub integration → sandbox execution → AI agent interaction → vulnerability reporting. Pricing: Contact for pricing.
