Filigran XTM One vs Intruder AI Pentesting

Quick answer

Filigran XTM One (CTEM AI agents and autonomous attack chaining for OpenCTI and OpenAEV) (Filigran (Filigran SAS)) and Intruder AI Pentesting (Intruder) are both listed in the Security category of Agent Index.

They share no framework tags in our dataset.

This is not a ranking.

Filigran XTM One (CTEM AI agents and autonomous attack chaining for OpenCTI and OpenAEV) (Filigran (Filigran SAS)) and Intruder AI Pentesting (Intruder) are both listed in the Security category of Agent Index. They share no framework tags in our dataset.

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Field Filigran XTM One (CTEM AI agents and autonomous attack chaining for OpenCTI and OpenAEV)Intruder AI Pentesting
Vendor Filigran (Filigran SAS)Intruder
HQ France · EuropeUnited Kingdom · Europe
Primary category SecuritySecurity
Also listed in SecuritySecurity, Code security
Summary Agentic AI layer for Filigran's open-source threat-intelligence (OpenCTI) and exposure-validation (OpenAEV) platforms: pre-built agents turn threat intelligence into hunting packages, detection rules and attack scenarios, and an autonomous attack-chaining orchestrator plans, runs and adapts an AI penetration test against an authorized environment, with optional human approval for sensitive actions.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.
Frameworks (vendor-stated) ——
Frameworks (vendor-claimed) SOC 2, ISO 27001—
Capabilities / tasks threat intelligence, pen test management, exposure management, threat detectionpen test management, appsec, vulnerability management
Pricing (as published) Not published (pre-packaged agents included for OpenCTI/OpenAEV Enterprise Edition customers with a usage quota; advanced XTM One capabilities licensed separately; 30-day trial and free open-source MCP server)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).
Pricing model quotepublished-tiers
Primary source https://filigran.io/products/xtm-onehttps://www.intruder.io/platform/ai-pentesting
Last checked 2026-10-202026-10-18
Official site https://filigran.io/products/xtm-onehttps://www.intruder.io/platform/ai-pentesting

FAQ (from this dataset)

What is the difference between Filigran XTM One and Intruder AI Pentesting?

Both are listed under Security. Shared tasks: pen-test-management. Filigran XTM One-only tasks: threat-intelligence, exposure-management, threat-detection. Intruder AI Pentesting-only tasks: appsec, vulnerability-management. Differences are from stored category and task tags, not a ranking.

Which one publishes pricing?

Filigran XTM One (CTEM AI agents and autonomous attack chaining for OpenCTI and OpenAEV): Not published (pre-packaged agents included for OpenCTI/OpenAEV Enterprise Edition customers with a usage quota; advanced XTM One capabilities licensed separately; 30-day trial and free open-source MCP server) 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).

Where are Filigran XTM One and Intruder AI Pentesting headquartered?

Filigran XTM One (CTEM AI agents and autonomous attack chaining for OpenCTI and OpenAEV) publishes HQ in France. Intruder AI Pentesting publishes HQ in United Kingdom.

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 Filigran XTM One (CTEM AI agents and autonomous attack chaining for OpenCTI and OpenAEV) or Intruder AI Pentesting. Open a pair page or the use-case table — this is not a ranking.

Use-case comparisons

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