Enterprise Features, Explained

A deeper look at how AI Data Shield gates GenAI access, blocks risk in the moment, and gives security teams evidence of control — without rebuilding your stack.

SSO-Gated Access

Only IdP-verified sessions get through

What you get

  • GenAI access decisions tied to your company SSO / IdP
  • Verified sessions proceed per policy; unverified tools don’t load
  • No chasing a manual list of every new public AI site

Why it matters: Shadow AI spreads through ordinary browser tabs. Putting identity at the gate aligns GenAI with how security already thinks about trust — verify first, then allow.

SSO gating is access control at the browser — not a promise that every data path elsewhere is covered.

Real-Time Blocking

Before the paste — not days later in a report

What you get

  • Block at attempt time when access is unapproved or unverified
  • Clear in-the-moment feedback for employees (use a verified path)
  • Fewer after-the-fact reviews about tools you never sanctioned

Why it matters: Legacy detect-after-the-fact DLP often learns about GenAI paste too late. Interrupting at open closes that gap by design.

Framing is GenAI platform access control — not classic content classifiers across email/file shares.

Policy Management

Different teams, different rules — without starting from scratch

What you get

  • Start from templates instead of a blank page per department
  • Customize by team, role, or use case on a shared foundation
  • Governance that scales with the org chart — consistent for security, flexible for functions

Why it matters: Engineering, finance, and legal do not share one GenAI risk profile. One company-wide switch is rarely enough.

Templates are starting points; security owns final policy design.

Audit Trail & Reporting

Evidence of GenAI access decisions — for security and review

What you get

  • Allowed, blocked, and flagged events logged with context
  • Support for incident response and day-to-day oversight
  • A record of enforcement when leadership or auditors ask where GenAI data can go

Why it matters: A policy memo is not enough. Teams need demonstrable allow/block outcomes tied to policy — browser-level decisions you can review.

  • Aligns with what frameworks such as SOC 2 / ISO 27001 expect as evidence of operating controls — not a claim that AI Data Shield is certified or “compliant.”
  • No invented retention periods, SIEM product names, or compliance badges.
AI Whitelisting

Approve the AI tools your teams should use

What you get

  • Searchable catalog of known AI platforms — toggle the ones your org allows
  • Custom domains for tools not yet in the catalog
  • Whitelisted sites open for access; content protections still apply on those pages

Why it matters: Security still needs a clear “these AI tools are approved” list. AI Whitelisting lets you open sanctioned platforms without chasing a hand-built blocklist for every new site — while SSO-gated defaults and real-time blocking continue to stop everything else.

  • Whitelisting is an access override for approved domains. It does not turn off paste/content protections on those sites, and an empty list means no overrides.

IT and security teams at mid-size to large organizations

Built for environments where employees work across managed and personal devices, and where GenAI adoption is already underway.

Fit

Security-led GenAI governance

Ideal when IT and security need browser-level GenAI governance — without rip-and-replace of the existing security stack.

Deployment

BYOD and hybrid ready

Browser-level control for hybrid and BYOD realities: protection sits where AI tools are opened, so work doesn’t wait for a perfect device fleet.

See enterprise features in a live walkthrough

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