ASAI Security ResearchIndependent public-source research
Public reviewread only

Solution approach

Network and cloud access controls

Apply web, cloud-access, and business-application controls to AI traffic and sensitive-data movement.

Research scopeVendorsPublicly documented vendor profiles
Evaluation guideRequirementsSecurity requirements buyers can verify
Evidence basisSourcesPublic claims linked to their original sources
Unresolved itemsQuestionsMissing support is labeled instead of assumed
View research coverageThese counts describe available public research, not product quality or suitability.Expand
Vendor profiles
7 shown in this view
Security requirements
4 to review
Strong public support
24 requirement records
Limited public support
4 requirement records
Open research
0 with no supporting claim · 0 incomplete

Evaluation guide

What buyers should verify

Foundational security requirement

Controls for unapproved AI use

Block, coach, redirect, or contain non-approved AI use and policy-violating AI interactions.

Questions to test
  1. A policy blocks, coaches, redirects, or contains a test interaction with an unapproved AI destination.
  2. The control event records policy reason, user, destination, action, and timestamp.
  3. An allowlist or exception path changes the outcome for an approved AI destination.
Related frameworks

NIST AI RMF Playbook · NIST Cybersecurity Framework 2.0 · CIS Critical Security Controls · ISO/IEC 42001 · OWASP GenAI Security Solutions Landscape

Additional security requirement

Browser and business-application controls

Apply session-level controls in browser and software as a service (SaaS) workflows, including uploads, downloads, copy/paste, sharing, and identity-aware access decisions.

Questions to test
  1. A session-level policy controls upload, download, copy, paste, sharing, or form submission in a browser or software as a service (SaaS) workflow.
  2. The policy decision includes user, app, session, or identity-aware context.
  3. The event record shows affected action, user, app, and timestamp.
Related frameworks

NIST AI RMF Playbook · NIST Cybersecurity Framework 2.0 · CIS Critical Security Controls · ISO/IEC 42001 · OWASP GenAI Security Solutions Landscape

Foundational security requirement

Sensitive-data protection for generative AI

Detect, classify, redact, or block sensitive data in prompts, responses, files, retrieval, memory, and AI-connected workflows.

Questions to test
  1. Sensitive prompt, response, or file test data is detected and classified during an AI interaction.
  2. A policy redacts, blocks, coaches, or records the sensitive data event before it leaves the approved path.
  3. The evidence record shows data class, user, app or model, action, and timestamp.
Related frameworks

NIST AI RMF Playbook · NIST Cybersecurity Framework 2.0 · CIS Critical Security Controls · ISO/IEC 42001 · OWASP GenAI Security Solutions Landscape

Foundational security requirement

Unapproved AI use discovery

Discover and monitor workforce AI tools, accounts, prompts, domains, models, users, and usage outside approved controls.

Questions to test
  1. An unmanaged AI app used by a test user appears in discovery inventory with user, app or domain, and timestamp.
  2. The test user's AI usage activity can be filtered or exported with AI-specific context.
  3. Approved and unapproved AI destinations or accounts are distinguishable in the evidence record.
Related frameworks

NIST AI RMF Playbook · NIST Cybersecurity Framework 2.0 · CIS Critical Security Controls · ISO/IEC 42001 · OWASP GenAI Security Solutions Landscape

Vendor research

Vendors with public research for this approach

Choose vendors to compare →

Vendors are grouped by whether this approach is a core product focus or related coverage, then ordered by documented support across the requirements shown. This organizes public research coverage; it is not a product ranking or recommendation.

Evidence labelsStrong public supportLimited public supportNo supporting claim foundResearch incomplete
VendorUnapproved AI controlBrowser and app controlsPrompt and data protectionUnmanaged AISourcesAction
Core product focusThis approach is central to how these vendors present the product · 5 vendors
Netskope AI SecurityEstablishedSupport found for 4 of 4 requirementsStrong public supportStrong public supportStrong public supportStrong public support1Profile →
Palo Alto Networks Prisma AIRSEstablishedSupport found for 4 of 4 requirementsStrong public supportStrong public supportStrong public supportStrong public support2Profile →
Zscaler AI SecurityEstablishedSupport found for 4 of 4 requirementsStrong public supportStrong public supportStrong public supportStrong public support2Profile →
AIM Security / Cato NetworksScaledSupport found for 4 of 4 requirementsStrong public supportLimited public supportStrong public supportStrong public support1Profile →
Cloudflare AI Security SuiteEstablishedSupport found for 4 of 4 requirementsStrong public supportLimited public supportStrong public supportStrong public support1Profile →
Related coverageThese vendors address the requirements through another core product focus · 2 vendors
Island Enterprise BrowserScaledSupport found for 4 of 4 requirementsStrong public supportStrong public supportStrong public supportStrong public support2Profile →
Cisco AI DefenseEstablishedSupport found for 4 of 4 requirementsLimited public supportLimited public supportStrong public supportStrong public support1Profile →

Company maturity remains a filter and profile attribute; it does not affect the research-coverage order.