RunSybil Sybil vs SQUR Autonomous Pentest
Quick answer
RunSybil Sybil (AI offensive security / autonomous pentesting) (RunSybil) and SQUR Autonomous Pentest (24-hour AI web and API pentesting with exploit verification) (SQUR (SQUR UG (haftungsbeschränkt))) 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 SQUR Autonomous Pentest (24-hour AI web and API pentesting with exploit verification) (SQUR (SQUR UG (haftungsbeschränkt))) are both listed in the Security category of Agent Index. They share no framework tags in our dataset.
| Field |  RunSybil Sybil (AI offensive security / autonomous pentesting) |  SQUR Autonomous Pentest (24-hour AI web and API pentesting with exploit verification) |
|---|---|---|
| Vendor | RunSybil | SQUR (SQUR UG (haftungsbeschränkt)) |
| HQ | United States · North America | Germany · Europe |
| Primary category | Security | Security |
| Also listed in | Security, Code security | Security, Code security |
| 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. | German autonomous pentesting product for web apps and APIs: given a target URL, scope and optional source code, its AI agents carry out real exploitation, a separate agent re-tests every finding against the live app to weed out false positives, and a compliance-ready report with proof-of-exploit and remediation steps arrives within 24 hours; continuous monthly runs mark findings fixed, regressed or new. |
| Frameworks (vendor-stated) | — | — |
| Frameworks (vendor-claimed) | — | ISO 27001, SOC 2 |
| Capabilities / tasks | pen test management, attack surface, appsec, vulnerability management | pen test management, appsec, vulnerability management, attack surface |
| Pricing (as published) | Not published | Published on squr.ai/pricing: Compliance Pentest EUR 1,995 one-time per web app/API (24h, free retest); Professional continuous EUR 995 per app per month; bulk credits EUR 1,495 per pentest for 10+ apps; free attack-surface scan. |
| Pricing model | quote | published-tiers |
| Primary source | https://www.runsybil.com/solutions/autonomous-penetration-testing | https://squr.ai/ |
| Last checked | 2026-10-18 | 2026-10-20 |
| Official site | https://www.runsybil.com/solutions/autonomous-penetration-testing | https://squr.ai/ |
FAQ (from this dataset)
What is the difference between RunSybil Sybil and SQUR Autonomous Pentest?
Both are listed under Security. Shared tasks: pen-test-management, attack-surface, appsec, vulnerability-management. Differences are from stored category and task tags, not a ranking.
Which one publishes pricing?
RunSybil Sybil (AI offensive security / autonomous pentesting): Not published SQUR Autonomous Pentest (24-hour AI web and API pentesting with exploit verification): Published on squr.ai/pricing: Compliance Pentest EUR 1,995 one-time per web app/API (24h, free retest); Professional continuous EUR 995 per app per month; bulk credits EUR 1,495 per pentest for 10+ apps; free attack-surface scan.
Where are RunSybil Sybil and SQUR Autonomous Pentest headquartered?
RunSybil Sybil (AI offensive security / autonomous pentesting) publishes HQ in United States. SQUR Autonomous Pentest (24-hour AI web and API pentesting with exploit verification) publishes HQ in Germany.
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 SQUR Autonomous Pentest (24-hour AI web and API pentesting with exploit verification). 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
- SOCRadar AI Agents (specialist threat-intelligence, attack-surface, digital-risk and alarm-triage agents) — Roster of specialist agents inside the SOCRadar threat-intelligence platform: customers deploy agents, set each one's skills, scope and access, and green-light sensitive steps. Agents cover threat-actor and ransomware intelligence, detection-rule writing, IoC enrichment, identity/credential exposure, vulnerability analysis, brand and dark-web monitoring, phishing-domain hunting, external attack surface and Shodan recon, and alarm triage that records verdicts and asks before changing an alarm's status. · SOCRadar AI Agents (specialist threat-intelligence, attack-surface, digital-risk and alarm-triage agents) 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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