Mondoo vs RunSybil Sybil (AI offensive security / autonomous pentesting)
Quick answer
Mondoo (Mondoo) 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.
This is not a ranking.
Mondoo (Mondoo) 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. Only Mondoo is tagged for SOC 2, ISO 27001.
| Field |  Mondoo |  RunSybil Sybil (AI offensive security / autonomous pentesting) |
|---|---|---|
| Vendor | Mondoo | RunSybil |
| HQ | United States · North America | United States · North America |
| Primary category | Security | Security |
| Also listed in | Security | Security, Code security |
| Summary | Agentic vulnerability management that finds, prioritizes, remediates and verifies fixes with policy-as-code and approval gates. | 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. |
| Frameworks (vendor-stated) | SOC 2, ISO 27001 | — |
| Frameworks (vendor-claimed) | — | — |
| Capabilities / tasks | vulnerability management, policy as code, remediation | pen test management, attack surface, appsec, vulnerability management |
| Pricing (as published) | Published pricing page at mondoo.com/pricing (verify current tiers). | Not published |
| Pricing model | published-tiers | quote |
| Primary source | https://mondoo.com/pricing | https://www.runsybil.com/solutions/autonomous-penetration-testing |
| Last checked | 2026-10-15 | 2026-10-18 |
| Official site | https://mondoo.com/ | https://www.runsybil.com/solutions/autonomous-penetration-testing |
FAQ (from this dataset)
What is the difference between Mondoo and RunSybil Sybil?
Both are listed under Security. Shared tasks: vulnerability-management. Mondoo-only tasks: policy-as-code, remediation. RunSybil Sybil-only tasks: pen-test-management, attack-surface, appsec. Differences are from stored category and task tags, not a ranking.
Which one publishes pricing?
Mondoo: Published pricing page at mondoo.com/pricing (verify current tiers). RunSybil Sybil (AI offensive security / autonomous pentesting): Not published
Where are Mondoo and RunSybil Sybil headquartered?
Mondoo publishes HQ in United States. RunSybil Sybil (AI offensive security / autonomous pentesting) publishes HQ in United States.
Also in this use case
Other verified listings that share a task tag or use-case group with Mondoo or RunSybil Sybil (AI offensive security / autonomous pentesting). Open a pair page or the use-case table — this is not a ranking.
- Amnify security agents (agent-driven code audit, AI pentesting, PR review and autofix pull requests) — German AppSec product from Düsseldorf: a team of agents audits repositories (SAST, secrets, SCA, IaC, CI/CD) and cloud accounts, triages signals so only confirmed findings surface, pentests running apps inside a verified scope with a separate agent reproducing every finding, reviews pull requests with a merge-blocking status check, and opens fix pull requests that run your tests but never merge themselves.
- noze CyberAgent (AI agent for continuous attack-surface monitoring, automated validation pentesting and NIS2 evidence) — Italian agent for mid-sized companies and NIS2 entities without an in-house SOC: after verifying domain control it continuously discovers assets and assesses network, web apps and APIs, correlates findings with EPSS and CISA KEV, confirms exploitability with automated validation pentests, ranks risks by business impact and prepares NIS2, DORA and ISO 27001 reports; the team decides what to fix. · noze CyberAgent (AI agent for continuous attack-surface monitoring, automated validation pentesting and NIS2 evidence) pair comparison
Use-case comparisons
- Agentic pentesting AI agents — 33 listings (Autonomous or AI-assisted penetration testing, attack-surface testing and exploitable-path verification)
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