Let your teams use AI. Keep your data out of it.
Praeferre sits between your people and every AI provider they reach for — ChatGPT, Claude, Gemini and beyond — redacting, obfuscating or blocking sensitive data on the way out, and giving you full visibility into how AI is actually being used across your workspace.
Your people are already pasting into AI. The question is what goes with it
Shadow AI isn't a hypothetical risk — it's the default state of most workplaces today. Employees aren't being reckless; they're trying to work faster, using tools that feel no different from search. But every prompt is a potential export of data you don't control once it leaves.
Three leaks in twenty days
Within weeks of engineers gaining access to ChatGPT, Samsung suffered three separate exposures of confidential material — with no malicious intent behind any of them.
Samsung's response was an emergency company-wide ban — the same blunt instrument most organisations reach for once a leak is already public, because a policy alone couldn't stop it in time.
Fined for processing personal data to train ChatGPT without an adequate legal basis, and for failing to report a March 2023 breach. The decision was later annulled on jurisdictional grounds in 2026 — but the underlying findings on legal basis and transparency were never overturned on their merits.
Average additional cost when shadow AI was a factor in a breach — on top of the $4.44M global average, and with customer PII exposed at a higher rate than the norm.
Sources: Dark Reading, on the Samsung ChatGPT incidents · Euronews, on the Garante's OpenAI fine · IBM Cost of a Data Breach Report, 2025.
Of office professionals have used AI tools at work despite believing it wasn't permitted under company policy — and more than a third entered customer data into public models.
Of AI-related breaches involved systems that lacked proper access controls — and most affected organisations had no governance policy for AI use at all.
Year-on-year rise in shadow AI detections in enterprise environments, now the third most common non-malicious insider risk observed.
Sources: PagerDuty Shadow AI Survey, 2026 · IBM Cost of a Data Breach Report, 2025 · Verizon 2026 Data Breach Investigations Report, via Tech Times.
Detect. Decide. Teach.
Praeferre doesn't just block AI — it makes each interaction a safe one, and a chance for the employee to learn why.
Every prompt is inspected before it sends
The browser extension and desktop agent read prompts, uploads and pastes in real time — across web AI tools and the desktop apps that talk to them — spotting PII, credentials, financial data and contract language as it's typed.
Redact, obfuscate, block or allow
Every category of sensitive data has its own policy — set by you. Some data gets quietly redacted, some gets synthetically obfuscated, some is blocked outright, and low-risk content simply passes through.
Every interception is a coaching moment
When something is redacted or blocked, the employee sees why, in plain language — turning enforcement into on-the-spot upskilling instead of a silent wall, with the full history feeding your reporting.
Redact, obfuscate or block — your call, by data type
No two organisations treat data the same way, so Praeferre doesn't force one policy on everyone. Set exactly how each category of sensitive information is handled, and adjust it per team, department or AI provider as your risk appetite changes.
- Redact — strip the sensitive value, let the rest of the prompt through
- Obfuscate — swap in realistic synthetic data so the prompt still works
- Block — stop the submission entirely, with a clear reason shown
See how AI is actually being used, tool by tool
You can't govern what you can't see. Praeferre gives you a live view across your workspace — which AI providers are being used, by whom, how often, and what got caught along the way — so "shadow AI" stops being a guess and becomes a dashboard.
- Usage broken down by team, individual and AI provider
- Full audit trail of every redaction, obfuscation and block
- Feeds straight into your GRC evidence base — no separate export
Contracts don't leave the workspace — even by accident
Beyond the prompt box, Praeferre's models scan the documents your teams work with — contracts, agreements, board papers — and understand what they are, not just what they contain. A clause pasted from a live vendor contract is treated differently to a paragraph from a public brochure, because the model recognises the document type itself.
- Automatic classification of contracts, NDAs and legal documents
- Blocks contract content from leaving the workspace via any AI tool
- Works on pasted text, uploaded files and copied excerpts alike
Turn every block into a learning moment
A blanket ban teaches nothing and pushes people toward personal accounts you can't see at all. Praeferre routes edge cases to an approver, explains every decision in plain language, and rolls the pattern into reporting your managers can actually use — so your organisation gets measurably safer with AI over time, not just more restricted.
Escalate, don't just block
Borderline requests route to a named approver instead of a dead end — so legitimate work isn't blocked by an over-cautious policy, and every exception is logged.
Explain the "why," every time
When something is redacted or blocked, the employee sees exactly which policy triggered it and why — building understanding instead of workaround instincts.
See where training would help most
Team-level trends surface which departments or individuals trigger the most interceptions — turning the platform into a targeted upskilling programme, not just a filter.
See what's leaving your workspace right now
A short discovery call is enough to show you what a live scan of your AI usage would surface in week one — no ban required.