Rakshak is an event-driven architecture powered by an autonomous supervisor agent and specialized swarm agents. It executes 144+ security tools safely to generate evidence-based SOC reports.
Input a domain or IP. Rakshak initializes the target and maps the initial attack surface without manual configuration.
The Supervisor Agent formulates a structured attack plan. It utilizes a ReAct (Reasoning + Acting) loop to adapt to discoveries dynamically.
Tasks are delegated to specialized tactical agents (Web, Recon, Dynamic) which focus on specific domains of the attack surface.
Agents map AI intent to hardened, human-vetted execution profiles, running tools safely and analyzing standard output.
Raw scan data is parsed into a boardroom-ready SOC report featuring a Security Score, Risk Matrix, and remediation steps.
Rakshak divides labor between a reasoning Supervisor and specialized tactical agents. This mimics a real red-team structure, increasing the speed and depth of security assessments.
Rakshak supports 144 standard security tools natively. Instead of allowing the AI to invent raw CLI flags, the platform forces the AI to select predefined, safe profiles (e.g., "stealth", "full").
Standardize your pentest methodologies. Build reusable workflows with variable templating, conditional branching (e.g., run X only if Y succeeds), and parallel execution groups.
Operate securely without sending sensitive infrastructure data to public models. Rakshak features a custom Model Context Protocol (MCP) bridge for local or private LLMs.
Rakshak doesn't just output raw AI chat logs. It correlates evidence into a structured risk matrix, complete with a Security Score mapped to CWE/OWASP.