Salus is the control layer between your team and AI models — minimizing sensitive data before model processing so teams can use AI safely across providers and workflows.
Most organizations are stuck between banning AI and letting employees use it without control. Salus gives teams a third option: keep AI useful while reducing unnecessary sensitive-data exposure before model calls.
A lawyer uses AI to draft contracts — client identities, deal terms, and confidential financial details can be exposed to external models.
An accountant uses AI to analyze financial statements — national IDs, bank details, and client revenue data can leave the company environment.
An HR team uses AI to review candidates — CVs with personal details, salary history, and contact information can be shared with third-party providers.
Salus sits between your team and external AI models. Sensitive data is detected and anonymized before model processing, then restored in the final response.
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.
Use AI across chat, meetings, and APIs with one privacy and control layer applied before every model call.
Use Claude, GPT, and Gemini from one controlled workspace. Salus minimizes sensitive data before every model call, supports provider comparison, and keeps document workflows in one place.
Capture meetings, anonymize sensitive details, generate notes and action items, then continue the conversation in Salus Chat with the full meeting context.
Add Salus to your own applications and workflows. Detect and anonymize sensitive data before AI processing, or let Salus manage the full prompt-to-response flow.
Traditional DLP is built to block data from leaving your systems. Salus is built to let teams use AI safely. It identifies sensitive information in context, minimizes it before AI use, and supports real multilingual document workflows.
Enterprise AI plans help at the provider level, but they do not solve your internal control problem. Organizations still need to govern what employees send, reduce unnecessary data exposure, and add controls before requests reach the model.
Many AI security tools focus on monitoring and alerting. Salus acts earlier in the workflow: sensitive data is minimized before model use, rather than flagged after exposure has already happened.
Most privacy tooling is built around English-first assumptions. Salus supports sensitive-data detection across all languages, so teams can use AI safely in multilingual documents, mixed-language workflows, and global operations.
Real workflows for teams handling contracts, case files, HR records, customer data, and financial documents.
"Upload existing agreements and draft a new one with AI. Salus anonymizes client names, deal terms, and identifiers before external processing, then restores them in the final output."
"Analyze client financial documents with AI while anonymizing names, IDs, and bank details before external processing."
"Turn client meetings into notes, follow-ups, and action plans with anonymized context carried from Note Taker into Chat."
"Compare candidates against job requirements with AI. CVs with personal details, salary expectations, and contact info are anonymized before external processing."
"Add visibility into what teams send to AI with anonymization logs, audit trails, and transparency into what the model actually saw."
"Prepare referral summaries from patient files with AI. Patient names, IDs, and diagnoses are anonymized before anything reaches external servers."
Salus is designed so sensitive data stays under your control. Deploy in the way that fits your security requirements.
Sensitive data is anonymized before external AI processing. AI providers receive placeholders instead of direct personal identifiers, supporting privacy-by-design workflows.
Run Salus as a managed cloud service, on private infrastructure, or in hybrid environments depending on your security and residency requirements.
Every anonymization action is logged — what was detected, what changed, and when. Supports internal governance, compliance review, and organizational oversight.
Users toggle between "what AI saw" (anonymized) and their view (restored). Full visibility into what was protected and what the model actually received.
Salus helps organizations adopt AI with stronger controls — reducing unnecessary data exposure, supporting privacy requirements, and giving compliance teams the visibility they need.
SSO, role-based access, API integration, auditability, and support for regulated workflows across cloud, private, or hybrid deployments.
Every plan includes core privacy controls, with governance and deployment options available as teams scale.
Start with 10,000 free tokens. No credit card required.