Aikido Attack AI Pentesting vs Check Point Agentic Exposure Validation

Quick answer

Aikido Attack AI Pentesting (Aikido Security) and Check Point Agentic Exposure Validation (AEV, AI agents that prove external exploitability) (Check Point Software Technologies) are both listed in the Security category of Agent Index.

They share no framework tags in our dataset.

This is not a ranking.

Aikido Attack AI Pentesting (Aikido Security) and Check Point Agentic Exposure Validation (AEV, AI agents that prove external exploitability) (Check Point Software Technologies) are both listed in the Security category of Agent Index. They share no framework tags in our dataset.

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Field Aikido Attack AI PentestingCheck Point Agentic Exposure Validation (AEV, AI agents that prove external exploitability)
Vendor Aikido SecurityCheck Point Software Technologies
HQ Belgium · EuropeIsrael · Middle East
Primary category SecuritySecurity
Also listed in Security, Code securitySecurity
Summary 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.Part of Check Point Exposure Management, launched May 28, 2026. AI agents reason like attackers across an organisation's external attack surface, correlating exposures, leaked credentials, CVE and live exploit research with existing protection coverage, then safely prove, pivot on, or discard each finding, so teams get evidence of what is actually exploitable.
Frameworks (vendor-stated) ——
Frameworks (vendor-claimed) ——
Capabilities / tasks pen test management, appsec, attack surface, vulnerability managementattack surface, exposure management, pen test management, vulnerability management, threat intelligence
Pricing (as published) Published: aikido.dev/pricing lists a free Developer tier and paid tiers that include monthly credits (for example 100 or 200 per month) usable for AI pentesting, plus a separate Pentest pricing tab. Check the vendor page for current amounts.Not published
Pricing model published-tiersquote
Primary source https://www.aikido.dev/attack/aipentesthttps://www.checkpoint.com/solutions/agentic-exposure-validation/
Last checked 2026-10-182026-10-19
Official site https://www.aikido.dev/attack/aipentesthttps://www.checkpoint.com/solutions/agentic-exposure-validation/

FAQ (from this dataset)

What is the difference between Aikido Attack AI Pentesting and Check Point Agentic Exposure Validation?

Both are listed under Security. Shared tasks: pen-test-management, attack-surface, vulnerability-management. Aikido Attack AI Pentesting-only tasks: appsec. Check Point Agentic Exposure Validation-only tasks: exposure-management, threat-intelligence. Differences are from stored category and task tags, not a ranking.

Which one publishes pricing?

Aikido Attack AI Pentesting: Published: aikido.dev/pricing lists a free Developer tier and paid tiers that include monthly credits (for example 100 or 200 per month) usable for AI pentesting, plus a separate Pentest pricing tab. Check the vendor page for current amounts. Check Point Agentic Exposure Validation (AEV, AI agents that prove external exploitability): Not published

Where are Aikido Attack AI Pentesting and Check Point Agentic Exposure Validation headquartered?

Aikido Attack AI Pentesting publishes HQ in Belgium. Check Point Agentic Exposure Validation (AEV, AI agents that prove external exploitability) publishes HQ in Israel.

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 Aikido Attack AI Pentesting or Check Point Agentic Exposure Validation (AEV, AI agents that prove external exploitability). Open a pair page or the use-case table — this is not a ranking.

Use-case comparisons

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