Check Point Agentic Exposure Validation vs Penetrify AI penetration testing agent

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Check Point Agentic Exposure Validation (AEV, AI agents that prove external exploitability) (Check Point Software Technologies) and Penetrify AI penetration testing agent (automated web app and API pentests) (Penetrify (Algofy, s.r.o.)) are both listed in the Security category of Agent Index. They share no framework tags in our dataset.

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Check Point Agentic Exposure Validation (AEV, AI agents that prove external exploitability) Penetrify AI penetration testing agent (automated web app and API pentests)

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Field	Check Point Agentic Exposure Validation (AEV, AI agents that prove external exploitability)	Penetrify AI penetration testing agent (automated web app and API pentests)
Vendor	Check Point Software Technologies	Penetrify (Algofy, s.r.o.)
HQ	Israel · Middle East	Czech Republic · Europe
Primary category	Security	Security
Also listed in	Security	Security
Summary	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.	Self-serve automated pentesting from Brno in which an AI agent maps a web app's attack surface, forms hypotheses, chains findings into multi-step attack scenarios (auth bypass, broken access control, exposed secrets) and writes up only what it can demonstrate, with published monthly plans and EU/GDPR data processing.
Frameworks (vendor-stated)	—	—
Frameworks (vendor-claimed)	—	—
Capabilities / tasks	attack surface, exposure management, pen test management, vulnerability management, threat intelligence	pen test management, attack surface, vulnerability management
Pricing (as published)	Not published	Published on penetrify.cloud: Starter USD 100/month (1 pentest), Growth USD 900/month (10), Professional USD 1,700/month (20), Business USD 4,000/month (50), Enterprise USD 7,500/month (100); annual billing saves 20%; first scan USD 29 credited to a plan.
Pricing model	quote	published-tiers
Primary source	https://www.checkpoint.com/solutions/agentic-exposure-validation/	https://www.penetrify.cloud/en/
Last checked	2026-10-19	2026-10-20
Official site	https://www.checkpoint.com/solutions/agentic-exposure-validation/	https://www.penetrify.cloud/en/

FAQ (from this dataset)

What is the difference between Check Point Agentic Exposure Validation and Penetrify AI penetration testing agent?

Both are listed under Security. Shared tasks: attack-surface, pen-test-management, vulnerability-management. Check Point Agentic Exposure Validation-only tasks: exposure-management, threat-intelligence. Penetrify AI penetration testing agent-only tasks: none. Differences are from stored category and task tags, not a ranking.

Which one publishes pricing?

Check Point Agentic Exposure Validation (AEV, AI agents that prove external exploitability): Not published Penetrify AI penetration testing agent (automated web app and API pentests): Published on penetrify.cloud: Starter USD 100/month (1 pentest), Growth USD 900/month (10), Professional USD 1,700/month (20), Business USD 4,000/month (50), Enterprise USD 7,500/month (100); annual billing saves 20%; first scan USD 29 credited to a plan.

Where are Check Point Agentic Exposure Validation and Penetrify AI penetration testing agent headquartered?

Check Point Agentic Exposure Validation (AEV, AI agents that prove external exploitability) publishes HQ in Israel. Penetrify AI penetration testing agent (automated web app and API pentests) publishes HQ in Czech Republic.

Also in this use case

Other verified listings that share a task tag or use-case group with Check Point Agentic Exposure Validation (AEV, AI agents that prove external exploitability) or Penetrify AI penetration testing agent (automated web app and API pentests). 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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