Keepnet Incident Responder AI agent (phishing incident response and agentic security awareness) vs Wiz
Keepnet Incident Responder AI agent (phishing incident response and agentic security awareness) (Keepnet Labs (Keepnet Labs Ltd.)) and Wiz (Wiz) are both listed in the Security category of Agent Index. They share no framework tags in our dataset. Only Wiz is tagged for SOC 2, ISO 27001, FedRAMP, TX-RAMP.
| Field | ||
|---|---|---|
| Vendor | Keepnet Labs (Keepnet Labs Ltd.) | Wiz |
| HQ | United Kingdom · Europe | United States · North America |
| Primary category | Security | Security |
| Also listed in | Security | Security, Risk |
| Summary | Human risk management platform whose AI agent reviews user-reported emails, opens investigations and proposes next steps in Incident Responder, with every action held in a human approval queue; the same agent builds and runs phishing simulations and awareness training. Per-user pricing is published. | Cloud security / CNAPP platform with agentless visibility, risk prioritization and security graph across cloud environments. |
| Framework tags (Agent Index) | — | SOC 2, ISO 27001, FedRAMP, TX-RAMP |
| FedRAMP (Marketplace, listing scope) | — | Wiz for U.S. Government · FedRAMP Authorized · FR2308034636A · High · authorized 2025-09-25 |
| Frameworks (vendor-claimed) | — | — |
| Capabilities / tasks | phishing triage, email security, incident response, alert triage | cloud security, vulnerability management, risk prioritization |
| Pricing (as published) | Published per-user MSRP tiers on keepnetlabs.com/pricing (USD/EUR/GBP, by user band; e.g. Incident Responder bought alone is shown at about US$0.72–1.04 per user in the 25–1,000-user bands, and bundle plans from about US$1.40 to US$3.15 per user in the 25–500-user bands). Static capture: check the page for billing period and column mapping; 1,000+ users by quote. | Custom quote (wiz.io/pricing). |
| Pricing model | published-tiers | quote |
| Primary source | https://keepnetlabs.com/products/incident-responder | https://www.wiz.io/pricing |
| Last checked | 2026-10-18 | 2026-10-18 |
| Official site | https://keepnetlabs.com/products/incident-responder | https://www.wiz.io/ |
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 Keepnet Incident Responder AI agent (phishing incident response and agentic security awareness) or Wiz. Open a pair page or the use-case table — this is not a ranking.
- CLEAR Investigate (agentic AI investigations for government, risk and fraud teams) — Agentic investigation tool built on Thomson Reuters CLEAR public-records data. From a plain-language question it plans and runs searches across CLEAR data and the open web, resolves conflicting records and returns concise cited findings with a record of the searches it ran, for AML, fraud, program-integrity and law-enforcement investigators.
- Doppel agentic social engineering defense (Email Security, Phishing Triage and agentic takedowns) — Social engineering defense platform where AI agents triage employee-reported phishing, remove malicious mail automatically, tune email detection policies and trace phishing back to its sending infrastructure and links to execute takedowns, alongside brand-impersonation takedowns across web, social, ads and app stores. · Doppel agentic social engineering defense (Email Security, Phishing Triage and agentic takedowns) pair comparison
- Vulcan Justinian (AI agent for government legal, regulatory and permitting work; VulcanGov) — AI agent for US government knowledge workers, grounded in a large corpus of federal and state statutes, regulations, court cases and fiscal data. It runs 50-state research in parallel with citations, monitors legal changes, reviews permit applications against the code, drafts memos and comment responses, and builds internal tools inside the agency boundary.
Use-case comparisons
- Email security and phishing-response AI agents — 15 listings (Triage of user-reported phishing, autonomous email threat remediation and AI-run phishing simulation)
- US public-sector and FedRAMP AI agents — 24 listings (US government, FedRAMP and public-sector compliance or security operations)
- Cloud security (CNAPP) AI agents — 7 listings (Cloud and container security posture, exposure and remediation)
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