Meet your autonomous pentester that thinks, explores, and attacks like a human — continuously, at scale.










Like a skilled human pentester, the agent runs structured engagements over hours and days. It maps every business flow, then attacks each one with iterative feedback — continuously.
The agent maps your entire attack surface autonomously. Subdomains, API endpoints, authentication flows, business logic flows, webpages, and tech stacks. It thinks like a pentester doing recon — identifying what to attack before attacking it.
A coordinated swarm of specialized agents attacks every identified flow. Real Chromium browsers bypass WAFs and CAPTCHAs. Each agent iterates with feedback — retrying, pivoting, chaining multi-step exploits — just like a human operator would over a multi-day engagement.
Years of security research distilled into a system of coordinated AI agents that operate like a human pentest team — with shared memory, real-world tools, and the patience to run for days.
AI is accelerating offense faster than most security programs can adapt. Autonomous pentesting is how you keep up.
Read Anthropic's take on AI-accelerated offense →
Trigger pentests from CI/CD, manage findings as issues, or run engagements from Claude Code. Pentesting fits where your team already works.
# Trigger pentest on deploy name: Pentest on Deploy on: push: branches: [main] release: types: [published] jobs: pentest: runs-on: ubuntu-latest steps: - uses: bugbase/pentest-copilot-action@v1 with: target: ${{ secrets.STAGING_URL }} api-key: ${{ secrets.PENTEST_COPILOT_KEY }} type: external create-issues: true
Findings auto-create GitHub Issues and Linear tickets with full context and fix prompts.
Deploy as SaaS or on-prem. Integrate with your CI/CD pipeline. Get compliance-ready reports from day one.
Free pilot available for qualified teams.