SQUR Autonomous Pentest vs Vulnetic Sable
Quick answer
SQUR Autonomous Pentest (24-hour AI web and API pentesting with exploit verification) (SQUR (SQUR UG (haftungsbeschränkt))) and Vulnetic Sable (AI pentesting agent) (Vulnetic (Vulnetic Inc.)) are both listed in the Security category of Agent Index.
They share no framework tags in our dataset.
This is not a ranking.
SQUR Autonomous Pentest (24-hour AI web and API pentesting with exploit verification) (SQUR (SQUR UG (haftungsbeschränkt))) and Vulnetic Sable (AI pentesting agent) (Vulnetic (Vulnetic Inc.)) are both listed in the Security category of Agent Index. They share no framework tags in our dataset.
| Field |  SQUR Autonomous Pentest (24-hour AI web and API pentesting with exploit verification) |  Vulnetic Sable (AI pentesting agent) |
|---|---|---|
| Vendor | SQUR (SQUR UG (haftungsbeschränkt)) | Vulnetic (Vulnetic Inc.) |
| HQ | Germany · Europe | United States · North America |
| Primary category | Security | Security |
| Also listed in | Security, Code security | Security |
| Summary | 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. | Agentic pentesting agent for internal security teams and MSSPs. Sable plans and executes authorised tests against web applications, APIs, internal networks and Active Directory, runs real tools, proves impact with reproducible evidence and exploit traces, and supports targeted retests after remediation; teams steer it in plain language and can approve every command or let it run fully autonomously. |
| Frameworks (vendor-stated) | — | — |
| Frameworks (vendor-claimed) | ISO 27001, SOC 2 | — |
| Capabilities / tasks | pen test management, appsec, vulnerability management, attack surface | pen test management, vulnerability management |
| Pricing (as 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. | Not published on the pages we could read on 2026-10-21 (check the vendor pricing section) |
| Pricing model | published-tiers | quote |
| Primary source | https://squr.ai/ | https://www.vulnetic.ai/ai-pentesting-agent |
| Last checked | 2026-10-20 | 2026-10-21 |
| Official site | https://squr.ai/ | https://www.vulnetic.ai/ai-pentesting-agent |
FAQ (from this dataset)
What is the difference between SQUR Autonomous Pentest and Vulnetic Sable?
Both are listed under Security. Shared tasks: pen-test-management, vulnerability-management. SQUR Autonomous Pentest-only tasks: appsec, attack-surface. Vulnetic Sable-only tasks: none. Differences are from stored category and task tags, not a ranking.
Which one publishes pricing?
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. Vulnetic Sable (AI pentesting agent): Not published on the pages we could read on 2026-10-21 (check the vendor pricing section)
Where are SQUR Autonomous Pentest and Vulnetic Sable headquartered?
SQUR Autonomous Pentest (24-hour AI web and API pentesting with exploit verification) publishes HQ in Germany. Vulnetic Sable (AI pentesting agent) publishes HQ in United States.
Also in this use case
Other verified listings that share a task tag or use-case group with SQUR Autonomous Pentest (24-hour AI web and API pentesting with exploit verification) or Vulnetic Sable (AI pentesting agent). 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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