Salus removes sensitive data before it reaches AI models, so EU regulated teams can adopt AI with stronger privacy controls and lower compliance risk.
Across the EU, teams are stuck between banning AI and risking GDPR violations. Salus gives them a third option: paste a contract, HR file, or financial document — sensitive data is detected and anonymized before AI processing, so teams can keep using AI without exposing more data than necessary.
A law firm in Hamburg drafts contracts with AI — client identities, deal terms, and confidential financials go to external servers.
An accountant in Amsterdam summarizes client financials — BSN numbers, bank details, and revenue figures leave the company network.
An HR team in Paris uses AI for candidate evaluation — CVs with personal details, salary history, and contact info are exposed.
Salus helps teams keep using the AI tools they already rely on — with stronger privacy controls and less unnecessary data exposure.
Contracts, reports, meeting notes — with real names, IDs, and details. No restrictions.
Purpose-trained AI identifies sensitive data across 50+ languages in seconds.
Claude, GPT, or Gemini receives only [PERSON_1], [EMAIL_1], [IBAN_1] — never the real values.
Placeholders mapped back automatically. You see the full response with real details.
Traditional DLP is designed to block data from leaving your systems. Salus is designed to let teams use AI safely. Instead of only matching keywords or patterns, Salus identifies sensitive data in context, anonymizes it before AI processing, and supports multilingual European document workflows.
Provider compliance is not the same as customer control. Even with enterprise AI plans that don't train on your data, organizations still need to control what employees send, reduce unnecessary personal-data exposure, and enforce internal AI governance. Salus adds that control layer before the model call happens.
Most privacy tooling is English-first. Salus is built for multilingual European document workflows — including mixed-language documents, cross-border workflows, and region-specific identifiers.
Every product is powered by the same privacy engine. Use AI for any workflow — sensitive data is reduced before AI processing.
Use Claude, GPT, and Gemini from one secure workspace. Salus anonymizes sensitive data before model calls, lets teams compare provider outputs, and keeps document workflows in one place.
AI meeting assistant for online and in-person meetings. Captures transcripts, anonymizes sensitive details, generates notes and action plans. Then continue in Salus Chat with full meeting context.
Integrate anonymization directly into your applications. Send text in, get anonymized text back — or let Salus handle the full AI round-trip with automatic restoration.
Real workflows for teams handling contracts, case files, HR records, customer data, and financial documents across Europe.
"I upload three previous NDAs and ask Claude to draft a new one. Salus strips all client names, deal terms, and identifiers before anything leaves — I get a perfectly structured draft with the real details restored."
"I feed client tax returns and financial statements into AI for analysis. Client names, BSN numbers, and bank details are anonymized automatically — I get the insights I need without any data leaving the firm."
"After a call with our client, Salus Note Taker gives me the full transcript. I discuss the meeting with AI — create action items, draft follow-up emails, and generate a project plan. All client details stay anonymized."
"I use AI to compare candidates against job requirements. CVs with personal details, salary expectations, and contact info are stripped before processing — I get structured evaluations without exposing candidate data."
"I need visibility into what data employees send to AI. Salus gives me audit trails, anonymization logs, and transparency views — exactly what I need for internal governance and DPO review."
"I prepare referral summaries from detailed patient files. AI helps me distill the key information — but patient names, IDs, and diagnoses are anonymized before anything touches external servers."
For organizations that need stronger privacy controls, auditability, and regional data control when using AI.
Sensitive data is anonymized before external AI processing. AI providers receive placeholders instead of personal identifiers. Supports privacy-by-design workflows under GDPR.
Sensitive data remains in the EU across both secure cloud and private deployments. Salus is built on EU-hosted infrastructure for organizations that need stronger regional data control.
Every anonymization action is logged — what was detected, what changed, and when. Supports internal governance, auditability, and DPO review processes.
Users toggle between "what AI saw" (anonymized) and their view (restored). Full visibility into what was protected supports transparency and human oversight.
The EU AI Act is increasing expectations around transparency, oversight, and AI governance. Salus provides data minimization, audit trails, and visibility into what AI sees — helping organizations strengthen those controls.
SSO, role-based access, API integration, EU-hosted infrastructure, governance controls, and dedicated support for regulated workflows.
Every plan includes the full privacy engine and all products. Sensitive data is reduced before AI processing.
Technical depth, practical guidance, and lessons from building the AI control layer.
Traditional DLP stops data from leaving the network. But when teams actively send documents to AI models, you need a control layer that enables safe use.
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