AI Data Security
Use AI freely, keep sensitive data inside
Lets your people use AI without sensitive data leaving the company.
For CISO, CDO, data protection officer
What changes
Stop acceptable-use policies. Start seeing it live.
Brings all AI use, sanctioned and shadow, inside a data-protection boundary. The gateway discovers which AI tools are actually in use, routes their traffic under policy, and redacts, blocks or escalates sensitive data such as source code, credentials and customer records before it leaves the enterprise. Employees keep using AI; the data stays governed.
Before · reports you wait for
- acceptable-use policiesreport
- attestationsreport
- shadow AI surveysreport
After · live on Vikat AI Gateway
- DBC Data Boundary CoverageAI traffic that runs under a data policy97%↑
- SDP Sensitive Data Protection rateSensitive data caught before it leaves100%↑
How it works
The Vikat AI Gateway sits between the enterprise and every AI model, copilot and agent it uses. It checks each request against policy before it executes and applies data-protection rules to everything that crosses the boundary. Combined with SecSemantic, it also shows what each agent could reach, not only what it asked for.
Every AI call goes through one door
Every model, copilot and agent your company uses is reached through the gateway.
Each request is checked before it runs
Policy is applied first. Risky actions wait for a person to say yes.
Sensitive data stays inside
Source code, credentials and customer records are redacted or blocked before they leave.
You see what each agent can reach
Not just what it asked for. Over-privileged agents are fixed before they cause harm.
What we are measured on
One headline number. One that backs it up.
AI traffic that runs under a data policy
Share of observed AI traffic that passes through the gateway under a data-protection policy
97%
your baseline · 19 %+78 pts in 90 days
Commitment · Up against diagnostic baselineEvidence · Gateway record
-
SDPSensitive Data Protection rateSupporting
Sensitive data caught before it leaves
Share of AI requests containing classified sensitive data that were redacted, blocked or approved before leaving the boundary
100%↑ vs baseline
Replaces acceptable-use attestationsEvidence · Gateway record
Numbers shown are illustrative. Yours start from your own baseline, measured in the diagnostic.
Proof you can open
Every number comes from a record you own.
Here that record is the gateway record. If we cannot show where a number came from, we do not report it.
- day 1 · 09:04discover14 AI tools observed in use · 9 previously unsanctioned
- day 2 · 11:21routetraffic to copilot-3 routed under policy dp-standard
- day 4 · 13:38classifyrequest r-88120 contains source code + credential
- day 5 · 15:55redactcredential redacted · source code approved under policy
- day 7 · 17:12gatewaySDP sample recorded · reviewed before leaving boundary
Questions
What people ask before they start.
Does redaction break the answers people get?
Sometimes it changes them. Each policy chooses whether to redact, block or allow with a record, and the choice is yours per data class and destination.
How is this different from Agentic Workforce Security?
AI Data Boundary governs how people and applications use AI services. Agentic Workforce Security governs AI agents that act in your estate. They share one gateway.
Is this a service or a solution?
Both exist. This solution is measured on a scorecard. Managed AI Governance is the service that operates it month to month.
See AI Data Security on your own estate.
A 30-minute walkthrough with an engineer. We show the DBC loop running and answer what it would look like for you.
Every solution is sold against one headline KPI, committed for 90 days against your own baseline and reported from evidence you can inspect.
vikat.AI · your guide
Ask Yati
Which solution fits your estate, what the 30-day diagnostic measures, how a pod works inside your team: ask in your own words.