See the attempt
That an AI platform access attempt was seen at the browser.
Control without a record is hard to defend. After Detect → Verify → Decide runs in the browser, AI Data Shield logs the outcome — allowed, blocked, and flagged — with context security teams can review.
That trail supports day-to-day oversight and incident response. In audit conversations, it is evidence of GenAI access decisions, not a claim that the product itself is a compliance certification.
The audit trail captures what Detect → Verify → Decide actually decided — so reviews show outcomes, not only policy intent.
That an AI platform access attempt was seen at the browser.
Whether the session met SSO / verification requirements (as applicable to the event).
Allow, block, or flag — tied to policy — so reviews show what actually happened, not only what the policy document said.
Hub step 04 — Monitor & Refine — uses this trail to tune policies as teams and approved platforms evolve.
Show allow/block outcomes, not only a written GenAI policy.
Events with context support incident follow-up and routine oversight.
Frameworks often expect evidence that controls exist and operate; this log is that operational evidence for GenAI access at the browser.
When someone asks where data can go — including into AI tools — you have a record of decisions.
Most users simply work in approved tools. When something is blocked, the event is recorded for security — employees don’t need to file a ticket just for the system to know an unverified tool was attempted.
How It Works overview → Enterprise Features · Audit Trail → Why Now · Security Audits →
SSO-Gated Access · Real-Time Blocking · Policy Management · Audit Trail & Reporting
AI Data Shield provides evidence of GenAI access decisions — not a claim of SOC 2, ISO, GDPR, HIPAA, or FERPA certification, and not a guarantee that any framework outcome is achieved by the product alone.
Request a demo, or continue through the How It Works feature path.
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