Intruder AI Pentesting vs Nagomi AI Exposure Eliminators

Quick answer

Intruder AI Pentesting (Intruder) 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.

Intruder AI Pentesting (Intruder) 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.

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Field Intruder AI PentestingNagomi AI Exposure Eliminators (Agentic Exposure Operations: autonomous exposure investigation, one-click neutralization and validated closure)
Vendor IntruderNagomi Security
HQ United Kingdom · EuropeUnited States · North America
Primary category SecuritySecurity
Also listed in Security, Code securitySecurity
Summary On-demand, code-aware web-app pentesting by AI agents built by Intruder's CREST-certified testers, with audit-ready reports in hours and issue-level 'micro pentests' to triage scanner findings.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, appsec, vulnerability managementexposure management, vulnerability management, attack surface, remediation, risk prioritization
Pricing (as published) AI web-app pentests start from $3,500 per test; the scanning platform has a free-forever plan and paid monthly/annual tiers (intruder.io/pricing).Not published
Pricing model published-tiersquote
Primary source https://www.intruder.io/platform/ai-pentestinghttps://www.nagomisecurity.com/platform
Last checked 2026-10-182026-10-19
Official site https://www.intruder.io/platform/ai-pentestinghttps://www.nagomisecurity.com/platform

FAQ (from this dataset)

What is the difference between Intruder AI Pentesting and Nagomi AI Exposure Eliminators?

Both are listed under Security. Shared tasks: vulnerability-management. Intruder AI Pentesting-only tasks: pen-test-management, appsec. Nagomi AI Exposure Eliminators-only tasks: exposure-management, attack-surface, remediation, risk-prioritization. Differences are from stored category and task tags, not a ranking.

Which one publishes pricing?

Intruder AI Pentesting: AI web-app pentests start from $3,500 per test; the scanning platform has a free-forever plan and paid monthly/annual tiers (intruder.io/pricing). Nagomi AI Exposure Eliminators (Agentic Exposure Operations: autonomous exposure investigation, one-click neutralization and validated closure): Not published

Where are Intruder AI Pentesting and Nagomi AI Exposure Eliminators headquartered?

Intruder AI Pentesting 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.

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 Intruder AI Pentesting 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.

Use-case comparisons

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