Swarm Architecture vs. Traditional Pipelines
Armur AI has released Pentest Swarm AI, an open-source penetration testing platform that introduces a swarm intelligence approach to automated security assessment. Unlike conventional multi-agent systems that rely on a central planner dispatching tasks in a fixed sequence, this platform enables agents to coordinate through decentralized communication. Agents share findings on a PostgreSQL blackboard, with each discovery carrying a pheromone weight that guides other agents toward promising attack paths. This weight decays over time, allowing stale strategies to fade naturally.
The platform supports live integration with tools like nmap, SQLMap, Burp Suite, ZAP, and Metasploit. Agents operate independently, each with its own trigger predicate, meaning new tools can be added without rewriting the orchestration layer. Current stable integrations include eight ProjectDiscovery tools, with additional adapters planned for future releases.
Getting Started and Output Formats
Deployment requires one API key and a single command, with support for Claude, Ollama for air-gapped environments, or any OpenAI-compatible model. Users do not need a local GPU or model download when using the cloud path. The system generates reports in Markdown, HTML, JSON, and SARIF formats, with automatic deduplication and CVSS v3.1 scoring per FIRST specifications. Findings are scoped to the target, ensuring relevance and reducing noise.
Source: Cyber Security News
