Check Point Agentic Exposure Validation (AEV, AI agents that prove external exploitability) vs Hadrian Nova (agentic pentesting)
Check Point Agentic Exposure Validation (AEV, AI agents that prove external exploitability) (Check Point Software Technologies) and Hadrian Nova (agentic pentesting) (Hadrian) are both listed in the Security category of Agent Index. They share no framework tags in our dataset. Only Hadrian Nova (agentic pentesting) is tagged for SOC 2, ISO 27001, DORA.
| Field |  Check Point Agentic Exposure Validation (AEV, AI agents that prove external exploitability) |  Hadrian Nova (agentic pentesting) |
|---|---|---|
| Vendor | Check Point Software Technologies | Hadrian |
| HQ | Israel · Middle East | Netherlands · Europe |
| Primary category | Security | Security |
| Also listed in | Security | Security, Code 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. | On-demand penetration testing run by a fleet of AI hacker agents, paired with Hadrian Atlas for continuous external exposure management. |
| Framework tags (Agent Index) | — | SOC 2, ISO 27001, DORA |
| Frameworks (vendor-claimed) | — | SOC 2, ISO 27001, NIS2, DORA, MITRE ATT&CK |
| Capabilities / tasks | attack surface, exposure management, pen test management, vulnerability management, threat intelligence | pen test management, attack surface, exposure management, appsec |
| Pricing (as published) | Not published | Nova: from EUR 1,250 per test excluding VAT, bundles available; Atlas priced on total asset count (hadrian.io/pricing). |
| Pricing model | quote | published-tiers |
| Primary source | https://www.checkpoint.com/solutions/agentic-exposure-validation/ | https://hadrian.io/products/nova |
| Last checked | 2026-10-19 | 2026-10-19 |
| Official site | https://www.checkpoint.com/solutions/agentic-exposure-validation/ | https://hadrian.io/products/nova |
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 Check Point Agentic Exposure Validation (AEV, AI agents that prove external exploitability) or Hadrian Nova (agentic pentesting). Open a pair page or the use-case table — this is not a ranking.
- depthfirst autonomous security agents (code, supply chain, secrets and agentic pentesting) — San Francisco application-security platform whose autonomous AI agents trace business logic and data flows to find exploitable code vulnerabilities, check dependency reachability and secrets, review pull requests with proposed fixes, and run agentic pentests against running applications, re-running each attack after a fix merges to confirm it is closed.
- Edgescan Atomic (agentic autonomous penetration testing in the Edgescan platform) — Autonomous penetration testing built into the Dublin-based Edgescan platform, launched October 7, 2026. A team of narrow AI agents plans, adapts, chains vulnerabilities and validates real impact on web applications, using Edgescan's existing asset context and findings, while a deterministic 'Harness' enforces scope, permissions, approvals and allowed actions. Findings land alongside Edgescan's DAST, PTaaS and ASM results. · Edgescan Atomic (agentic autonomous penetration testing in the Edgescan platform) pair comparison
- Nullify autonomous product-security agents (find-to-fix with merge-ready PRs and AI Pentest Agent) — Australian 'autonomous system of agents' for product security that covers code, secrets, API pentesting and exploit validation. It proves findings with reproducible evidence, scores them against the customer's assets, writes merge-ready fix PRs routed to code owners, and runs remediation campaigns through Jira and Slack until merge, with the customer keeping final merge approval.
- Rescana autonomous TPRM agents (Discovery & Classification, Risk Assessment, Communication & Remediation and Manager agents) — A third-party risk platform run by a coordinated team of AI agents. They discover and classify vendors from identity, procurement and IT systems, collect and analyse vendor documentation and questionnaires against external attack-surface intelligence, chase vendors for missing evidence and remediation, and orchestrate approvals with humans in control.
- Ridge Security RidgeGen (agentic AI red teaming) and RidgeBot — Offensive-security vendor from Milpitas, California. Its on-premises, model-agnostic RidgeGen agent does agentic AI red teaming: it reasons through multi-step attack chains to find business-logic and non-CVE risks, verifies every finding with reproducible exploit evidence, gives fix guidance and re-runs to confirm fixes. It sits alongside RidgeBot automated pentesting. · Ridge Security RidgeGen (agentic AI red teaming) and RidgeBot pair comparison
Use-case comparisons
- Agentic pentesting AI agents — 19 listings (Autonomous or AI-assisted penetration testing, attack-surface testing and exploitable-path verification)
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