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Public-source research

Vendor evidence

Review what vendors say publicly, the exact quoted source text, the security requirement each statement may support, and what still needs verification.

Research library coverageCounts describe the research workflow, not vendor quality or product effectiveness.View details
Evidence records1280
Source checked863
Needs verification0
Source captured0
No supporting claim found411
Excluded from evidence6

Showing 21–40 of 68 evidence records

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Microsoft Purview DSPM for AIBrowser and business-application controlsSource checkedStrong public support for this requirement

Microsoft says Purview Endpoint data loss prevention (DLP) can warn or block browser-based sharing of sensitive information with third-party generative AI sites.

Windows computers that are onboarded to Microsoft Purview can be configured for Endpoint data loss prevention (DLP) policies
Related framework references (5)
Netskope AI SecurityBrowser and business-application controlsSource checkedStrong public support for this requirement

Netskope claims cloud app controls for generative AI include real-time access, out-of-band data protection, and security posture management.

Secure the GenAI era with Netskope's proven cloud app controls, from real-time access and out-of-band data protection to security posture management.
Related framework references (5)
Prompt Security / SentinelOneBrowser and business-application controlsSource checkedStrong public support for this requirement

Prompt Security claims it provides employees with visibility, security, and governance over AI tools usage.

Attain visibility, security and governance for AI tools usage
Related framework references (5)
AIM Security / Cato NetworksBrowser and business-application controlsSource checkedLimited public support for this requirement

AIM (Cato) claims it lets organizations use generative AI securely with full visibility and control into which apps are used and what data is shared.

full visibility and control into what GenAI apps are used, and what data is shared with the AI models
Related framework references (5)
Grip SecurityBrowser and business-application controlsSource checkedStrong public support for this requirement

Grip Security claims it strengthens user security in near real-time and extends user security through a browser extension.

Strengthen user security in near real-time
Related framework references (5)
WitnessAIBrowser and business-application controlsSource checkedStrong public support for this requirement

WitnessAI claims it provides granular role- and team-based AI access, enforces usage policies, and attributes agent activity to human identities.

Provide granular role and team-based AI access
Related framework references (5)
Harmonic SecurityBrowser and business-application controlsSource checkedStrong public support for this requirement

Harmonic Security claims real-time visibility and control across the browser and desktop.

Real-time visibility and control across the browser and desktop
Related framework references (5)
RecoBrowser and business-application controlsSource checkedStrong public support for this requirement

Reco claims user, software as a service (SaaS), browser extension, OAuth, and connected-app governance for AI-agent security.

Detects browser extensions and unapproved integrations
Related framework references (5)
Lakera / Check PointBrowser and business-application controlsSource checkedStrong public support for this requirement

Lakera claims Workforce AI Security discovers shadow AI and governs employee usage across AI apps, browser extensions, desktop agents, integrated development environments (IDEs), and Model Context Protocol (MCP)-connected tools.

Discover shadow AI, assess risk, govern employee usage, and stop sensitive data exposure across AI apps, browser extensions, desktop agents, IDEs, and MCP-connected tools.
Related framework references (5)
ZenityBrowser and business-application controlsSource checkedStrong public support for this requirement

Zenity claims AI security coverage across user devices, software as a service (SaaS)-managed copilots, and enterprise AI environments.

Security and governance across all environments - SaaS, home-grown agentic platforms (Cloud), and end-user devices (Endpoint) - with unified visibility, policy control, and threat prevention.
Related framework references (5)
Nightfall AIBrowser and business-application controlsSource checkedStrong public support for this requirement

Nightfall claims its browser plugins and endpoint agents monitor AI interactions in real-time, analyzing prompts and file uploads before they reach AI platforms.

Our browser plugins and endpoint agents monitor AI interactions in real-time, analyzing prompts and file uploads before they reach AI platforms.
Related framework references (5)
LayerX SecurityBrowser and business-application controlsSource checkedStrong public support for this requirement

LayerX claims it can block unauthorized AI applications and keep employees within trusted, approved environments.

Block access to unauthorized AI applications completely.
Related framework references (5)
Apex Security / TenableBrowser and business-application controlsSource checkedLimited public support for this requirement

Apex (Tenable) claims it shows how employees and agents interact with AI platforms, including who is using AI, for what purpose, and the data involved.

See how employees and agents interact with AI platforms, including who’s using AI, for what purpose, and the data involved.
Related framework references (5)