Patrowl Agentic AI Penetration Testing vs RunSybil Sybil (AI offensive security / autonomous pentesting)
Patrowl Agentic AI Penetration Testing (Patrowl) and RunSybil Sybil (AI offensive security / autonomous pentesting) (RunSybil) are both listed in the Security category of Agent Index. They share no framework tags in our dataset.
| Field |  Patrowl Agentic AI Penetration Testing |  RunSybil Sybil (AI offensive security / autonomous pentesting) |
|---|---|---|
| Vendor | Patrowl | RunSybil |
| HQ | France · Europe | United States · North America |
| Primary category | Security | Security |
| Also listed in | Security | Security, Code security |
| Summary | Continuous external pentesting in which Patrowl's AI agents correlate assets, threats and past evidence, choose the next test step every day, and route every finding through a certified pentester before it reaches you. | AI offensive security platform whose agents run black- or white-box autonomous pentests, chain vulnerabilities across code, APIs, cloud and infrastructure, reproduce every finding, and re-test on each deployment. |
| Framework tags (Agent Index) | — | — |
| Frameworks (vendor-claimed) | — | — |
| Capabilities / tasks | pen test management, attack surface, vulnerability management, exposure management | pen test management, attack surface, appsec, vulnerability management |
| Pricing (as published) | Not published | Not published |
| Pricing model | quote | quote |
| Primary source | https://patrowl.io/en/agentic-ai-penetration-testing | https://www.runsybil.com/solutions/autonomous-penetration-testing |
| Last checked | 2026-10-18 | 2026-10-18 |
| Official site | https://patrowl.io/en/agentic-ai-penetration-testing | https://www.runsybil.com/solutions/autonomous-penetration-testing |
Side-by-side data is generated from the open dataset. “Vendor-claimed” frameworks are as marketed by each vendor and not verified by Agent Index; framework tags indicate relevance, not certification. Request current quotes from each vendor before buying. This page does not rank or score vendors. Sponsored comparisons, if any, will be labelled.
Also in this use case
Other verified listings that share a task tag or use-case group with Patrowl Agentic AI Penetration Testing or RunSybil Sybil (AI offensive security / autonomous pentesting). Open a pair page or the use-case table — this is not a ranking.
- AWS Continuum for penetration testing (formerly AWS Security Agent) — AWS frontier agent (formerly AWS Security Agent) that runs on-demand penetration tests of your applications with tailored multi-step attack scenarios, reproducible proof and ready-to-implement fixes, billed per task-hour. · AWS Continuum for penetration testing (formerly AWS Security Agent) pair comparison
- Black Duck Signal (agentic AI AppSec) — Agentic AI application security tool (GA March 2026) with role- and task-based agents that analyse new code in any language, filter findings by exploitability and apply verified fixes, callable from Claude Code, Gemini and GitHub Copilot via MCP.
- Endor Labs security agents (agentic triage and remediation) — Pre-built AppSec agents that read Endor findings against your source, write SAST fixes or file exceptions, pick safe dependency upgrades and open PRs, and answer malware-exposure and CI/CD posture questions inside your coding agents.
- HCL AppScan RapidFix — Agentic AI triage and auto-fix for SAST findings in HCL AppScan: an LLM pass reviews each finding's accuracy and severity, filters false positives, and a deterministic codemod framework writes fixes in repos and pull requests.
- YesWeHack Agentic Pentest — On-demand pentests of external attack surface run by AI agents shaped by YesWeHack's bug-hunting expertise, with dedicated verification agents, a Pentest Manager, same-day results and reports in its vulnerability-management platform. · YesWeHack Agentic Pentest pair comparison
Use-case comparisons
- Agentic pentesting AI agents — 10 listings (Autonomous or AI-assisted penetration testing, attack-surface testing and exploitable-path verification)
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