Most companies have no visibility into what their employees paste into AI tools. We do — in 1-2 weeks.
No commitment. No complex integration required.
See exactly what data your team is sending to AI tools — not assumptions, real data.
PII, financial identifiers, contracts, health data — classified by risk level.
Structured findings with risk levels, affected workflows, and remediation priorities.
Identify compliance gaps before a regulator does.
Step 1
Connect your AI tools or simulate workflows. No complex integration required to get started.
Step 2
The privacy engine scans prompts and interactions. PII detected, classified, and risk-scored.
Step 3
Structured findings in 1-2 weeks. Risk levels, affected data types, and clear next steps.
── AI Risk Assessment Sample ─────────────────
● HIGH RISK 23% of prompts contained sensitive data
● MEDIUM 12% included financial identifiers (IBAN, salary)
● MEDIUM 8% contained contract or legal document excerpts
● LOW 5% involved personal identifiers (names, emails)
Workflows affected: CRM analysis, contract review, financial reporting
Recommended: Immediate tokenisation policy for finance and legal workflows
* Illustrative sample. Actual results vary by organisation — but exposure is almost always present.
Teams across legal, finance, and operations use AI daily — with real data, outside controlled systems.
Standard AI tools have no data governance layer. What gets sent — stays sent.
GDPR enforcement on AI interactions is active. EU AI Act enters into force progressively 2025-2026.
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Control what reaches your AI models. Audit every interaction. Deploy in minutes.
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