Maze AI Agents (Maze Cloud and Maze Code) vs Vulnetic Sable (AI pentesting agent)
Quick answer
Maze AI Agents (Maze Cloud and Maze Code) (Maze) 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.
Maze AI Agents (Maze Cloud and Maze Code) (Maze) 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 | ||
|---|---|---|
| Vendor | Maze | Vulnetic (Vulnetic Inc.) |
| HQ | United Kingdom · Europe | United States · North America |
| Primary category | Security | Security |
| Also listed in | Security, Code security | Security |
| Summary | UK AI agents that investigate every cloud and code vulnerability with code-to-cloud context, decide exploitability and deliver fixes. | 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) | — | — |
| Capabilities / tasks | cloud security, vulnerability management, remediation, sca, sast | pen test management, vulnerability management |
| Pricing (as published) | Not published. | Not published on the pages we could read on 2026-10-21 (check the vendor pricing section) |
| Pricing model | quote | quote |
| Primary source | https://mazehq.com/platform/cloud | https://www.vulnetic.ai/ai-pentesting-agent |
| Last checked | 2026-10-18 | 2026-10-21 |
| Official site | https://mazehq.com/platform/cloud | https://www.vulnetic.ai/ai-pentesting-agent |
FAQ (from this dataset)
What is the difference between Maze AI Agents and Vulnetic Sable?
Both are listed under Security. Shared tasks: vulnerability-management. Maze AI Agents-only tasks: cloud-security, remediation, sca, sast. Vulnetic Sable-only tasks: pen-test-management. Differences are from stored category and task tags, not a ranking.
Which one publishes pricing?
Maze AI Agents (Maze Cloud and Maze Code): Not published. Vulnetic Sable (AI pentesting agent): Not published on the pages we could read on 2026-10-21 (check the vendor pricing section)
Where are Maze AI Agents and Vulnetic Sable headquartered?
Maze AI Agents (Maze Cloud and Maze Code) publishes HQ in United Kingdom. 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 Maze AI Agents (Maze Cloud and Maze Code) 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)
- Cloud security (CNAPP) AI agents — 9 listings (Cloud and container security posture, exposure and remediation)
Related
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