AI DATA GOVERNANCE

YOUR POLICY SAYS DON'T PASTE THAT.
THIS ACTUALLY STOPS IT.

RAIC classifies what your AI traffic contains, enforces your policy in line by masking, blocking, or allowing the request, and keeps the evidence that the control ran — so your teams use AI without your regulated data going with them.

WHAT PROBLEM DOES THIS SOLVE?

A policy PDF cannot unsend a prompt.

Your acceptable-use policy tells employees not to paste customer records into a chatbot. Every organization has that sentence. Almost none can tell you whether anyone followed it last Tuesday.

Shadow AI discovery tells you which AI tools are in use. AI Data Governance tells you what went into them. When a regulator, a customer, or your own board asks what data left, "we have a policy" is not an answer.

Classification and in-line enforcement close that gap: the control runs where the data moves, and it leaves proof behind.

WHAT DO I GET?

Controls on the data, not just the tool.

Know what your AI traffic carries

Classification reads what is actually moving toward AI tools — customer records, health data, credentials, source code — so the conversation stops being about which apps people use and starts being about which data leaves.

Enforce the policy in line

Mask the sensitive fragment, block the request, or allow and record it. The decision happens as the request moves, not in a report you read next month.

Keep sensitive payloads out of the open

Regulated content stays protected in transit and in the record, so investigating an incident never means exposing the very data you were protecting.

Two-layer classification

Pattern matching catches the formats it knows. Named Entity Recognition — detection that reads context, not just formats — identifies people, organizations, and locations that a regular expression would walk straight past. Both layers run on the same traffic.

Policy packs you switch on

A policy pack bundles the categories, thresholds, and responses for a body of regulation, so allow, mask, or block is a setting you choose rather than a rule set you author from a blank page.

Encrypted evidence vault with automatic expiry

Captured evidence is encrypted at rest and deleted on the schedule you set, so proving a control ran never turns into a second copy of regulated data living forever.

Evidence the control ran

Every enforcement decision joins the governance record with verifiable lineage, so you can show an auditor the control operated instead of asserting that it exists.

Say yes to AI without saying yes to leaks

Teams keep the productivity of the tools they already adopted while regulated categories stay behind a control you can name and demonstrate.

WHY NOW?

Data controls moved to the top of every AI review.

EU AI Act Article 10: data and data governance expectations sit at the center of the Act's obligations for AI systems. In-line classification gives you a repeatable control over what reaches a model.

HIPAA and SOC 2 confidentiality: regulated categories need protection wherever they travel, and AI tools are now one of the busiest paths out of the business.

Customer security reviews: enterprise buyers ask how you prevent their data reaching a third-party model. A control that masks or blocks in line answers that in one line.

EU AI Act HIPAA Shadow AI Detection

WHAT CHANGES ON MONDAY

AI stays useful. Regulated data stays home.

Let teams use AI without exporting regulated data with it
Replace a written ban nobody follows with a control that runs
Show exactly what was masked or blocked, and when
Cover health, financial, and customer data categories by policy
Catch sensitive content that pattern matching alone misses
Answer an Article 10 data-controls question with evidence

Proof included: enforcement decisions carry the same verifiable evidence lineage as the rest of your governance record.

AGENTLESS VENDOR COLLECTORS

See AI use across your vendors without touching a laptop

RAIC connects read-only to the AI vendor tenants you already pay for and pulls administrative and usage telemetry on a scheduled sweep. No endpoint agent, no software on a device, and no prompt or file content leaves the vendor.

Microsoft 365 Copilot
Administrative and usage telemetry shows who is licensed, who is actually active, and how usage moves over time — pulled read-only from the tenant you already run.
ChatGPT Enterprise
Workspace administrative and usage telemetry makes adoption and volume visible without asking teams to self-report or waiting on a vendor invoice.
Anthropic Claude (Enterprise and API)
Administrative activity and usage analytics arrive as two independent streams, so a rate limit on one never blinds the other. Unusual usage spikes are flagged for review.

What you get: you see who is using which AI tool, at what volume, and when behavior changes — without installing anything on a laptop.

QUESTIONS BUYERS ASK

AI data governance, answered.

What does AI data governance in RAIC actually do?

It classifies what your AI traffic contains, enforces your policy in line by masking, blocking, or allowing the request, keeps sensitive payloads out of the open, and records evidence that the control ran.

Is this only pattern matching on regular expressions?

No. Alongside pattern matching, Named Entity Recognition identifies people, organizations, locations, and other entities in context, so detection catches sensitive content that a pattern alone would miss.

Does blocking break how people work?

You choose the response per policy. Mask the sensitive fragment and let the request through, block the request outright, or allow and record it. Most teams mask first and reserve blocking for regulated categories.

How does this map to the EU AI Act?

Article 10 sets expectations for data and data governance around AI systems. In-line classification and enforcement give you a repeatable control over what data reaches a model, plus the evidence that the control operated.

What proof do I have that a control ran?

Enforcement decisions land in the governance record with the same verifiable evidence lineage as the rest of the platform, so you can show what was masked or blocked and when.

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