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GenAI Security Finder

Quiz · Seven questions

GenAI security quiz: which control approach fits your company?

In short

Answer seven questions and the finder weighs three approaches (AI controls in a SASE or SSE cloud, a standalone AI security layer, and a firewall or self-hosted AI gateway), marks them on the Prompt Path, then checks each vendor's published facts against your answers. Every rule is written out on Finder rules. The page opens with an example company's answers; change any answer to see your own result.

Q1 / 7What worries you most about generative AI at work?

Pick every one that applies.

Q2 / 7When a risky AI interaction is found, what should happen first?

Most teams mix these; pick the one you would start with.

Q3 / 7What network security carries your users' traffic today?

SASE combines networking and security in one cloud service; SSE is its security half.

Q4 / 7Which of these vendors already runs that network security?

Pick one, or the last option.

Q5 / 7Where may AI traffic be inspected?

Some teams must keep prompts, data and logs on infrastructure they run.

Q6 / 7Which compliance requirement applies to the vendor?

Choose the strictest one that applies.

Q7 / 7How many people use AI tools for work?

A rough count is enough.

Your answers point to AI controls in a SASE or SSE cloud

Your answers: SASE or SSE cloud 13 pts, standalone AI security layer 2 pts, firewall or self-hosted gateway 1 pt.>>>>{}People and agentsAI services andMCP serversYour site or data centreSecurity cloud (SASE or SSE)AI gateway and guardrailsFirewall or self-hosted gatewaySSESTART HEREAIGFWG
  • SSE · Security cloud (SASE or SSE)
  • AIG · AI gateway and guardrails
  • FWG · Firewall or self-hosted gateway
  • Filled square: described on the vendor pages we read
  • Hatched square: partly described (a narrower scope, or the enforcement point is not stated)
  • Dashed square: not in our sources (it may exist; we did not find it)
  • Pink square: where your answers point; solid pink is where to start
The Prompt Path shows where each vendor's own pages describe a control, or where your answers point. It does not measure how well a product works.
  • SSEpicked for your answersStart hereIn the security cloud13 pts
  • AIGAt an AI gateway2 pts
  • FWGOn your own infrastructure1 pt

Start here

AI controls in a SASE or SSE cloud

13 pts

  • +3 shadow AI
  • +2 sensitive data in prompts
  • +2 block inline
  • +4 SASE or SSE in place
  • +2 vendor's cloud is fine

Also relevant

Nothing else scored high enough

Lower on your list or not suggested

Standalone AI security layer

2 pts · Lower on your list

  • +1 sensitive data in prompts
  • +1 vendor's cloud is fine

Firewall or self-hosted AI gateway

1 pt · Lower on your list

  • +1 block inline

Vendors whose published facts match

Ordered by how many of your checks each vendor's own pages meet. Equal fits are listed alphabetically. This is a fit to your answers, not a quality ranking.

  1. Equal fit

    • Cato NetworksMeets 4 of your checks, 0 partly, 0 not in our sources.Describes 1 of 1 picked approaches, 0 partly.
      • StatedFinds shadow AI use

        Discovers shadow AI and coding agents across endpoints and auto-inventories every third-party AI tool, copilot and agent.

        Source: Cato Networks: AI security for end users · Read 7 Oct 2026

      • StatedInspects prompts for sensitive data

        Stops data leaks in prompts, with Monitor, Anonymize and Block as policy actions.

        Source: Cato Networks: AI security · Read 7 Oct 2026

      • StatedBlocks inline in real time

        Checks every interaction inline, with fast checks in milliseconds; Block is one of three policy actions.

        Source: Cato Networks: AI security · Read 7 Oct 2026

      • StatedLists security attestations

        Lists SOC 2 and SOC 3, PCI-DSS Level 1 Service Provider, ISO/IEC 27001, 27017, 27018 and 27701, CSA STAR Self-Assessment, UK Cyber Essentials and Spain ENS High.

        Source: Cato Networks: security, compliance and privacy · Read 7 Oct 2026

      Cato Networks states Watch, Redact and Block; Coach is not in our sources.

      Cato Networks: described at 2 of 3 control positions (SASE or SSE cloud, standalone AI security layer), partly at 1.>>>>SSEAIGFWG
    • Palo Alto NetworksMeets 4 of your checks, 0 partly, 0 not in our sources.Describes 1 of 1 picked approaches, 0 partly.
      • StatedFinds shadow AI use

        Visibility into shadow AI, covering GenAI applications, agents and marketplace plugins, with real-time visibility into which apps are used and by whom.

        Source: Palo Alto Networks: AI Access Security · Read 7 Oct 2026

      • StatedInspects prompts for sensitive data

        LLM-powered data classification augments DLP, and inline data detection blocks sensitive text- and file-based data.

        Source: Palo Alto Networks: AI Access Security · Read 7 Oct 2026

      • StatedBlocks inline in real time

        Inline data detection blocks sensitive data, and the page states it stops AI-generated threats in real time.

        Source: Palo Alto Networks: AI Access Security · Read 7 Oct 2026

      • StatedLists security attestations

        The trust center lists SOC 2+, Germany C5, PCI DSS and IRAP, among others.

        Source: Palo Alto Networks trust center: certifications · Read 7 Oct 2026

      Palo Alto Networks states Coach and Block; Watch and Redact are not in our sources.

      Palo Alto Networks: described at 2 of 3 control positions (SASE or SSE cloud, standalone AI security layer).>>>>SSEAIGFWG
    • NetskopeMeets 3 of your checks, 1 partly, 0 not in our sources.Describes 1 of 1 picked approaches, 0 partly.
      • Partly statedFinds shadow AI use

        Continuous discovery of remote MCP servers, clients, tools, resources and prompt requests, and an App Catalog MCP inventory; general GenAI app discovery is not detailed on the pages we read.

        Source: Netskope: Agentic Broker · Read 7 Oct 2026

      • StatedInspects prompts for sensitive data

        With Netskope One DLP, the broker applies real-time policies that identify and block sensitive information.

        Source: Netskope: Agentic Broker · Read 7 Oct 2026

      • StatedBlocks inline in real time

        Blocks unauthorized MCP communication and sensitive information with real-time policies.

        Source: Netskope: Agentic Broker · Read 7 Oct 2026

      • StatedLists security attestations

        Lists AICPA SOC 2, C5, CSA STAR Level II, IRAP and the Data Privacy Framework; SOC 2 and C5 reports on request.

        Source: Netskope: security, compliance and assurance · Read 7 Oct 2026

      Netskope states Block; Coach is partly stated; Watch and Redact are not in our sources.

      Netskope: described at 2 of 3 control positions (SASE or SSE cloud, standalone AI security layer).>>>>SSEAIGFWG

  3. Equal fit

    • FortinetMeets 3 of your checks, 1 partly, 0 not in our sources.Describes 0 of 1 picked approaches, 1 partly.
      • StatedFinds shadow AI use

        Discovers AI applications in use with their categories, use cases, risk levels and log details.

        Source: Fortinet: AI security · Read 7 Oct 2026

      • StatedInspects prompts for sensitive data

        FortiAIGate checks prompts and outputs before they reach users or systems and is described as stopping data leaks.

        Source: Fortinet: FortiAIGate · Read 7 Oct 2026

      • StatedBlocks inline in real time

        FortiAI blocks unauthorized prompts; FortiAIGate is described as stopping harmful AI content in real time.

        Source: Fortinet: AI security · Read 7 Oct 2026

      • Partly statedLists security attestations

        The trust page states alignment with the ISO/IEC 27000 series and NIST 800-53; specific certifications for FortiSASE are not stated in the text we read.

        Source: Fortinet: trust · Read 7 Oct 2026

      Fortinet states Watch, Coach and Block; Redact is not in our sources.

      Fortinet: described at 2 of 3 control positions (standalone AI security layer, firewall or self-hosted gateway), partly at 1.>>>>SSEAIGFWG
    • ZscalerMeets 3 of your checks, 0 partly, 1 not in our sources.Describes 1 of 1 picked approaches, 0 partly.
      • StatedFinds shadow AI use

        Detects and classifies thousands of AI apps, including AI embedded in popular SaaS applications; AI Asset Management auto-discovers models, agents, MCP servers and shadow AI.

        Source: Zscaler: AI Access Security · Read 7 Oct 2026

      • StatedInspects prompts for sensitive data

        Prompt and response extraction and classification, with controls to prevent sensitive data from leaving the organization.

        Source: Zscaler: AI Access Security · Read 7 Oct 2026

      • StatedBlocks inline in real time

        Block access by role in real time.

        Source: Zscaler: AI security · Read 7 Oct 2026

      • Not in our sourcesLists security attestations

      Zscaler states Coach and Block; Redact is partly stated; Watch is not in our sources.

      Zscaler: described at 2 of 3 control positions (SASE or SSE cloud, standalone AI security layer).>>>>SSEAIGFWG
    • CiscoMeets 2 of your checks, 1 partly, 1 not in our sources.Describes 1 of 1 picked approaches, 0 partly.
      • StatedFinds shadow AI use

        Inspects web traffic to identify shadow AI, including API calls made to AI models inside AI-enhanced applications.

        Source: Cisco Secure Access: AI Access · Read 7 Oct 2026

      • Partly statedInspects prompts for sensitive data

        AI Defense names data leakage among the runtime threats it addresses; prompt-level DLP is not described on the pages we read.

        Source: Cisco AI Defense · Read 7 Oct 2026

      • StatedBlocks inline in real time

        Detects and blocks malicious and undesired AI traffic using multiple enforcement points.

        Source: Cisco Secure Access: AI Access · Read 7 Oct 2026

      • Not in our sourcesLists security attestations

      Cisco states Block; Watch and Coach are partly stated; Redact is not in our sources.

      Cisco: described at 2 of 3 control positions (SASE or SSE cloud, standalone AI security layer).>>>>SSEAIGFWG

Pricing is not part of the fit: none of the six vendors publishes prices on the pages we read.

How does the finder decide?

Two steps. First, each answer adds points to the approaches it makes more relevant; the highest becomes your starting point and the pink markers show where it sits on the Prompt Path. Second, each vendor gets points for describing your picked approaches and for meeting the checks your answers trigger. The full rule table is on Finder rules. A vendor marked Not in our sources may still offer something; we did not find it on the pages we read, so ask the vendor.

Questions

Why are some vendors shown as an equal fit?

Their published facts meet your checks to the same degree. We list equal fits alphabetically rather than invent a tiebreak.

What does Not in our sources mean?

We did not find that capability or fact on the vendor pages we read on 7 October 2026. It may exist; it counts zero in the finder and the profile says so.

Why does the vendor I already run get extra points?

Extending a platform you already run usually means one less product to deploy and manage. The bonus is the same for every vendor and is shown on the result as Extends a platform you already run.

Does the quiz store my answers?

No. Answers live in the page's address bar so you can share a result. Nothing is sent anywhere.