CodeWall autonomous attack agents vs Maze AI Agents
Quick answer
CodeWall autonomous attack agents (continuous external adversarial testing) (CodeWall (CodeWall Ltd)) and Maze AI Agents (Maze Cloud and Maze Code) (Maze) are both listed in the Security category of Agent Index.
They share no framework tags in our dataset.
This is not a ranking.
CodeWall autonomous attack agents (continuous external adversarial testing) (CodeWall (CodeWall Ltd)) and Maze AI Agents (Maze Cloud and Maze Code) (Maze) are both listed in the Security category of Agent Index. They share no framework tags in our dataset.
| Field |  CodeWall autonomous attack agents (continuous external adversarial testing) |  Maze AI Agents (Maze Cloud and Maze Code) |
|---|---|---|
| Vendor | CodeWall (CodeWall Ltd) | Maze |
| HQ | United Kingdom · Europe | United Kingdom · Europe |
| Primary category | Security | Security |
| Also listed in | Security | Security, Code security |
| Summary | UK offensive-security product that deploys autonomous attack agents starting from the outside with no credentials or source code: specialist agents investigate in parallel, share discoveries on a persistent investigation graph, prove exploitable paths across applications, identities and data, and retest within authorised scope as the environment changes. | UK AI agents that investigate every cloud and code vulnerability with code-to-cloud context, decide exploitability and deliver fixes. |
| Frameworks (vendor-stated) | — | — |
| Frameworks (vendor-claimed) | — | — |
| Capabilities / tasks | pen test management, attack surface, exposure management, appsec | cloud security, vulnerability management, remediation, sca, sast |
| Pricing (as published) | Not published | Not published. |
| Pricing model | quote | quote |
| Primary source | https://codewall.ai/ | https://mazehq.com/platform/cloud |
| Last checked | 2026-10-20 | 2026-10-18 |
| Official site | https://codewall.ai/ | https://mazehq.com/platform/cloud |
FAQ (from this dataset)
What is the difference between CodeWall autonomous attack agents and Maze AI Agents?
Both are listed under Security. They share no task tags in this dataset. CodeWall autonomous attack agents-only tasks: pen-test-management, attack-surface, exposure-management, appsec. Maze AI Agents-only tasks: cloud-security, vulnerability-management, remediation, sca, sast. Differences are from stored category and task tags, not a ranking.
Which one publishes pricing?
CodeWall autonomous attack agents (continuous external adversarial testing): Not published Maze AI Agents (Maze Cloud and Maze Code): Not published.
Where are CodeWall autonomous attack agents and Maze AI Agents headquartered?
CodeWall autonomous attack agents (continuous external adversarial testing) publishes HQ in United Kingdom. Maze AI Agents (Maze Cloud and Maze Code) publishes HQ in United Kingdom.
Also in this use case
Other verified listings that share a task tag or use-case group with CodeWall autonomous attack agents (continuous external adversarial testing) or Maze AI Agents (Maze Cloud and Maze Code). 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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