Maze AI Agents (Maze Cloud and Maze Code) vs RunSybil Sybil (AI offensive security / autonomous pentesting)
Maze AI Agents (Maze Cloud and Maze Code) (Maze) 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.
| Field | ||
|---|---|---|
| Vendor | Maze | RunSybil |
| HQ | United Kingdom · Europe | United States · North America |
| Primary category | Security | Security |
| Also listed in | Security, Code security | Security, Code security |
| Summary | UK AI agents that investigate every cloud and code vulnerability with code-to-cloud context, decide exploitability and deliver fixes. | 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. |
| Framework tags (Agent Index) | — | — |
| Frameworks (vendor-claimed) | — | — |
| Capabilities / tasks | cloud security, vulnerability management, remediation, sca, sast | pen test management, attack surface, appsec, vulnerability management |
| Pricing (as published) | Not published. | Not published |
| Pricing model | quote | quote |
| Primary source | https://mazehq.com/platform/cloud | https://www.runsybil.com/solutions/autonomous-penetration-testing |
| Last checked | 2026-10-18 | 2026-10-18 |
| Official site | https://mazehq.com/platform/cloud | https://www.runsybil.com/solutions/autonomous-penetration-testing |
Side-by-side data is generated from the open dataset. “Vendor-claimed” frameworks are as marketed by each vendor and not verified by Agent Index; framework tags indicate relevance, not certification. Request current quotes from each vendor before buying. This page does not rank or score vendors. Sponsored comparisons, if any, will be labelled.
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 RunSybil Sybil (AI offensive security / autonomous pentesting). Open a pair page or the use-case table — this is not a ranking.
- Aikido Attack AI Pentesting — Belgian autonomous AI pentest: many agents map the app, test attack paths and re-exploit each finding to confirm it, with a same-day audit-grade report. · Aikido Attack AI Pentesting pair comparison
- Cycode AI Teammates (Exploitability, Remediation and Change Impact agents) — Cycode's AppSec AI agents that assess the exploitability of findings, generate fixes, analyse change impact and query the risk graph inside the Cycode platform.
- Synack Sara AI Pentesting — Synack's Autonomous Red Agent (Sara) for agentic pentesting, with exploitable findings validated by the Synack Red Team. · Synack Sara AI Pentesting pair comparison
Use-case comparisons
- Agentic pentesting AI agents — 12 listings (Autonomous or AI-assisted penetration testing, attack-surface testing and exploitable-path verification)
- Cloud security (CNAPP) AI agents — 7 listings (Cloud and container security posture, exposure and remediation)
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