Multi-LLM agent orchestration
Route tasks to specialist agents (recon, fuzzing, exploit dev, reporting) and keep context consistent across runs.
autonomous security • governed scope • structured reasoning
AI-powered autonomous vulnerability assessment and penetration testing platform with multi-LLM agent orchestration, bug bounty integration, governance-enforced scope controls, and structured exploit reasoning.
Designed for responsible autonomous testing: powerful agents, explicit boundaries.
Route tasks to specialist agents (recon, fuzzing, exploit dev, reporting) and keep context consistent across runs.
Structure findings for submission workflows, with reproducible steps and evidence capture.
Hard boundaries: targets, auth contexts, and allowed techniques are enforced throughout the run.
Make results auditable: clear assumptions, payload evolution, and validation.
A minimal workflow that keeps autonomy aligned with scope and intent.
Targets, rules, and allowed actions are declared up front.
Agents explore, test, and validate findings while respecting boundaries.
Clear reproduction steps, evidence, and reasoning for each finding.
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