Check Point Agentic Exposure Validation (AEV, AI agents that prove external exploitability) vs Wolfia Questionnaire Agent (security questionnaires and trust center)
Check Point Agentic Exposure Validation (AEV, AI agents that prove external exploitability) (Check Point Software Technologies) and Wolfia Questionnaire Agent (security questionnaires and trust center) (Wolfia (Wolfia Inc.)) are both listed in the Security category of Agent Index. They share no framework tags in our dataset.
| Field |  Check Point Agentic Exposure Validation (AEV, AI agents that prove external exploitability) |  Wolfia Questionnaire Agent (security questionnaires and trust center) |
|---|---|---|
| Vendor | Check Point Software Technologies | Wolfia (Wolfia Inc.) |
| HQ | Israel · Middle East | United States · North America |
| Primary category | Security | Security |
| Also listed in | Security | Security, Compliance, Risk |
| 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. | Security-questionnaire agent that drafts every answer with a citation from the company's own corpus, routes ungrounded questions to the owning expert, returns the file in its original format, and fills portal-only questionnaires via a Chrome extension. |
| Framework tags (Agent Index) | — | — |
| Frameworks (vendor-claimed) | — | — |
| Capabilities / tasks | attack surface, exposure management, pen test management, vulnerability management, threat intelligence | questionnaire automation, trust center, contract review |
| Pricing (as published) | Not published | Not published |
| Pricing model | quote | quote |
| Primary source | https://www.checkpoint.com/solutions/agentic-exposure-validation/ | https://wolfia.com/products/questionnaire-automation |
| Last checked | 2026-10-19 | 2026-10-18 |
| Official site | https://www.checkpoint.com/solutions/agentic-exposure-validation/ | https://wolfia.com/products/questionnaire-automation |
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 Wolfia Questionnaire Agent (security questionnaires and trust center). Open a pair page or the use-case table — this is not a ranking.
- BRYTER Hybrid Agents (AI plus rule-based workflow agents for DORA, DPA and NDA contract review) — Legal and compliance agents that combine AI document review with BRYTER's rule-based workflow engine to run specific tasks end to end, such as reviewing contracts against DORA, reviewing DPAs and NDAs against a playbook, and generating the amendment agreements or reports.
- Censinet Risk Assessor Agent (Assessor Agent for Supply Chain and Vendor Risk, Censinet GRC AI) — Healthcare third-party risk agent in Censinet RiskOps that reviews vendor questionnaire responses and supporting documents (such as SOC 2 and penetration-test reports), captures integration details from requests, identifies findings and drafts assessment reports and corrective action plans for the risk assessor to validate.
- Clio Work agentic mode (goal-based multi-step legal work with Vincent) — Legal AI workspace for law firms whose agentic mode takes a single goal-based prompt (for example 'find everything that could kill this deal before signing'), picks the legal skills it needs and runs the multi-step work itself, showing live reasoning traces that the lawyer can interrupt or redirect.
- 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
- episki Autonomous GRC (AI Orchestration agents for policies, questionnaires, vendors and evidence) — A GRC platform built around agents that draft policies, answer inbound security questionnaires, review vendors' SOC 2 and CAIQ responses, map controls, assess risks and write deterministic evidence-collection recipes. Every plan, step-run and sensitive action goes through human approvals and safety floors. Pricing is published.
- Hybridity compliance execution platform agents (policy-to-control registry, scheduled evidence and batch contract checks) — Swedish compliance execution platform for regulated firms that turns a company's own policies into a requirement registry, checks it against DORA, NIS 2, GDPR or customer demands, and hands routine work to agents (contracts checked in batches, evidence collected on schedule, updates computed when a rule changes), with a person approving every result.
- 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.
- Procol Supplier Ops Agent (supplier onboarding, due-diligence and compliance, scoring and risk agents) — A coordinated set of procurement-side AI agents that run supplier onboarding from invite to approval. They validate tax IDs, licences and certificates, run continuous AML, sanctions and debarment screening, track contract expiry and compliance deviations with audit trails, and score suppliers on cost, quality, delivery and compliance.
- 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
- Contract and legal-review AI agents — 29 listings (Contract review, drafting assistance and legal workflow automation)
- Agentic pentesting AI agents — 19 listings (Autonomous or AI-assisted penetration testing, attack-surface testing and exploitable-path verification)
- TPRM and vendor-risk AI agents — 33 listings (Third-party risk, vendor assessments, security ratings and questionnaire automation)
- Security questionnaire AI agents — 7 listings (Inbound security questionnaires, SIG/CAIQ-style responses and questionnaire automation)
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