Kodem is an application security platform that integrates static code analysis, software composition analysis (SCA), and runtime context to identify exploitable vulnerabilities. The platform utilizes technologies including eBPF and memory forensics to monitor system-level events, network activity, and application behavior out-of-band, without requiring code changes or restarts. By mapping function-level execution and tracing network, file, and dependency calls, the system distinguishes theoretical vulnerabilities from active, attacker-reachable risks in production environments across source code, dependencies, containers, and infrastructure.
The platform includes capabilities for secrets detection, software supply chain integrity, and the generation of Software Bills of Materials (SBOMs) and AI BOMs. An integrated AI assistant analyzes pull requests, provides code fixes, and can generate virtual patches for threats. Kodem integrates into developer workflows via IDEs and CI/CD pipelines to enforce security governance and is designed to find code vulnerabilities, business logic flaws, and zero-day threats from within the application in Linux, containerized, and serverless environments.
