CodeWall autonomous attack agents vs Nagomi AI Exposure Eliminators
Quick answer
CodeWall autonomous attack agents (continuous external adversarial testing) (CodeWall (CodeWall Ltd)) and Nagomi AI Exposure Eliminators (Agentic Exposure Operations: autonomous exposure investigation, one-click neutralization and validated closure) (Nagomi Security) 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 Nagomi AI Exposure Eliminators (Agentic Exposure Operations: autonomous exposure investigation, one-click neutralization and validated closure) (Nagomi Security) 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) |  Nagomi AI Exposure Eliminators (Agentic Exposure Operations: autonomous exposure investigation, one-click neutralization and validated closure) |
|---|---|---|
| Vendor | CodeWall (CodeWall Ltd) | Nagomi Security |
| HQ | United Kingdom · Europe | United States · North America |
| Primary category | Security | Security |
| Also listed in | Security | 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. | Agentic exposure-operations platform whose AI Exposure Eliminators continuously discover exposures across identity, attack surface, control gaps and vulnerabilities, investigate which attack paths are actually exploitable given existing controls, pick the neutralization path (config hardening, control deployment or patch) for one-click approval, route the work and verify from the sensor that the fix holds. |
| Frameworks (vendor-stated) | — | — |
| Frameworks (vendor-claimed) | — | — |
| Capabilities / tasks | pen test management, attack surface, exposure management, appsec | exposure management, vulnerability management, attack surface, remediation, risk prioritization |
| Pricing (as published) | Not published | Not published |
| Pricing model | quote | quote |
| Primary source | https://codewall.ai/ | https://www.nagomisecurity.com/platform |
| Last checked | 2026-10-20 | 2026-10-19 |
| Official site | https://codewall.ai/ | https://www.nagomisecurity.com/platform |
FAQ (from this dataset)
What is the difference between CodeWall autonomous attack agents and Nagomi AI Exposure Eliminators?
Both are listed under Security. Shared tasks: attack-surface, exposure-management. CodeWall autonomous attack agents-only tasks: pen-test-management, appsec. Nagomi AI Exposure Eliminators-only tasks: vulnerability-management, remediation, risk-prioritization. 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 Nagomi AI Exposure Eliminators (Agentic Exposure Operations: autonomous exposure investigation, one-click neutralization and validated closure): Not published
Where are CodeWall autonomous attack agents and Nagomi AI Exposure Eliminators headquartered?
CodeWall autonomous attack agents (continuous external adversarial testing) publishes HQ in United Kingdom. Nagomi AI Exposure Eliminators (Agentic Exposure Operations: autonomous exposure investigation, one-click neutralization and validated closure) publishes HQ in United States.
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 Nagomi AI Exposure Eliminators (Agentic Exposure Operations: autonomous exposure investigation, one-click neutralization and validated closure). 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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