SwarmHack is an autonomous, AI-native penetration testing engine that utilizes a multi-agent neural network to discover, exploit, and validate vulnerabilities across web applications, APIs, cloud environments, and codebases. The engine employs specialized, non-LLM neural agents that work in parallel to execute attack simulations, using dynamically generated payloads rather than static wordlists.
The system operates continuously on predefined schedules or triggers from build pipelines, generating timestamped proofs of concept and reproducible steps for verified findings. By leveraging cross-agent consensus, the engine filters out false positives and automatically maps validated exploits to compliance and security control frameworks.
