RunSybil Sybil (AI offensive security / autonomous pentesting) vs SafeBase
Quick answer
RunSybil Sybil (AI offensive security / autonomous pentesting) (RunSybil) and SafeBase (Drata (acquired SafeBase)) are both listed in the Security category of Agent Index.
They share no framework tags in our dataset.
This is not a ranking.
RunSybil Sybil (AI offensive security / autonomous pentesting) (RunSybil) and SafeBase (Drata (acquired SafeBase)) are both listed in the Security category of Agent Index. They share no framework tags in our dataset. Only SafeBase is tagged for SOC 2, ISO 27001.
| Field |  RunSybil Sybil (AI offensive security / autonomous pentesting) |  SafeBase |
|---|---|---|
| Vendor | RunSybil | Drata (acquired SafeBase) |
| HQ | United States · North America | United States · North America |
| Primary category | Security | Security |
| Also listed in | Security, Code security | Security, Compliance, Business operations |
| Summary | 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. | Trust Center and AI Questionnaire Assistance for customer security reviews, now part of Drata (SafeBase brand being unified into Drata). |
| Frameworks (vendor-stated) | — | SOC 2, ISO 27001 |
| Frameworks (vendor-claimed) | — | — |
| Capabilities / tasks | pen test management, attack surface, appsec, vulnerability management | trust center, questionnaire automation |
| Pricing (as published) | Not published | Not verified |
| Pricing model | quote | quote |
| Primary source | https://www.runsybil.com/solutions/autonomous-penetration-testing | https://drata.com/blog/announcing-new-drata-look |
| Last checked | 2026-10-18 | 2026-10-16 |
| Official site | https://www.runsybil.com/solutions/autonomous-penetration-testing | https://drata.com/safebase |
FAQ (from this dataset)
What is the difference between RunSybil Sybil and SafeBase?
Both are listed under Security. They share no task tags in this dataset. RunSybil Sybil-only tasks: pen-test-management, attack-surface, appsec, vulnerability-management. SafeBase-only tasks: trust-center, questionnaire-automation. Differences are from stored category and task tags, not a ranking.
Which one publishes pricing?
RunSybil Sybil (AI offensive security / autonomous pentesting): Not published SafeBase: Not published
Where are RunSybil Sybil and SafeBase headquartered?
RunSybil Sybil (AI offensive security / autonomous pentesting) publishes HQ in United States. SafeBase publishes HQ in United States.
Also in this use case
Other verified listings that share a task tag or use-case group with RunSybil Sybil (AI offensive security / autonomous pentesting) or SafeBase. 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
- trail Governance Agents (GRC and AI governance agents) — Munich-based trail's Governance Agents run GRC busywork in the background: they read your project files and sources to collect and link evidence, assess controls, classify systems, run risk and vendor assessments and draft policies, proposing changes that a human approves before anything is written.
Use-case comparisons
- Agentic pentesting AI agents — 33 listings (Autonomous or AI-assisted penetration testing, attack-surface testing and exploitable-path verification)
- Security questionnaire AI agents — 10 listings (Inbound security questionnaires, SIG/CAIQ-style responses and questionnaire automation)
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