Feature

Sensitive Data Masking

Confidential info gets masked before AI ever sees it

TL;DR

—Client names, financials, and internal identifiers get caught and replaced automatically. Our context-aware scanning engine identifies PII, PHI, and proprietary data before it leaves your network, ensuring continuous compliance..
—People don't need to think about it because masking runs silently in the background. Employees can use AI naturally without slowing down to manually sanitize their inputs, preserving their productivity gains..
—Legal can have stricter rules than marketing because you set policies per department. Customize redaction sensitivity based on the user's role, ensuring that high-risk teams operate under appropriate constraints..
—Designed for governed enterprise AI usage.

How It Works

Someone on your team pastes a client name into a prompt. Or drops a spreadsheet with revenue numbers into a chat. Normally that data goes straight to the model. With Remova, it doesn't. The system spots sensitive content and replaces it before the request leaves your environment. The AI still works, it just never sees the real names or numbers.

Our sensitive data protection engine uses advanced contextual detection to identify Personally Identifiable Information (PII), Protected Health Information (PHI), financial records, and proprietary intellectual property. It goes beyond simple regex matching, understanding the context of the data to prevent sophisticated leaks. When sensitive information is detected, it is immediately tokenized or redacted based on your specific organizational policies.

This means your employees can interact with powerful large language models securely, without the friction of constantly self-censoring their prompts. If an employee tries to upload a confidential quarterly earnings report for summarization, the system intercepts the payload, masks the specific financial figures, sends the secure template to the AI, and then re-inserts the protected data into the final output locally. The enterprise gets the productivity boost of AI without compromising its security posture.

Key Benefits

Client names, financials, and internal identifiers get caught and replaced automatically. Our context-aware scanning engine identifies PII, PHI, and proprietary data before it leaves your network, ensuring continuous compliance.
People don't need to think about it because masking runs silently in the background. Employees can use AI naturally without slowing down to manually sanitize their inputs, preserving their productivity gains.
Legal can have stricter rules than marketing because you set policies per department. Customize redaction sensitivity based on the user's role, ensuring that high-risk teams operate under appropriate constraints.
Every time something gets masked, there's a detailed log entry with context. Security teams gain full visibility into what types of sensitive data are being targeted, aiding in threat hunting and compliance audits.
The platform covers all models and all conversations, leaving no blind spots. Whether a team is using an internal model or a public API, the same stringent data protection rules apply universally.

Free Assessment

How Exposed Is Your Company?

Most companies already have employees using AI. The question is whether that's happening safely. Take 2 minutes to find out.

You get

A short report showing where your biggest AI risks are right now.

Use Cases

Keeping client names out of prompts when sales drafts outreach. Sales representatives can generate highly personalized emails without ever exposing actual customer CRM data to third-party language models.

Letting legal use AI for research without leaking case details. Attorneys can summarize massive legal documents and depositions while the system automatically redacts privileged client identities.

Finance using AI to draft reports without exposing raw numbers. Financial analysts can leverage generative AI for market analysis while sensitive revenue projections are strictly masked from the underlying engine.

HR getting AI help with policies without employee data going to the model. Human resources can safely draft performance review summaries, knowing that individual employee names and salaries are entirely protected.

Rollout Checklist

Define policy scope and ownership for sensitive data masking.
Pilot sensitive data masking with one department and measure adoption quality.
Set alert thresholds for governance events and escalation workflows.
Review outcomes monthly and tune controls based on operational feedback.

Metrics to Track

Control adoption rate by team
Policy or safety event volume trend
Exception turnaround time
Cost impact before vs after rollout

Free Resource

Get a Draft AI Policy in 5 Minutes

Answer 6 questions about your company. Get a real AI usage policy you can hand to legal this week.

You get

A ready-to-review AI policy document customized to your company.

Knowledge Hub

Sensitive Data Masking FAQs

The system intercepts the prompt before it reaches the AI model, scans it using context-aware NLP to identify sensitive data, replaces that data with secure tokens, and then de-tokenizes the response when it returns to the user.

No, our edge-optimized scanning engine adds less than 50 milliseconds of latency, making the redaction process completely imperceptible to the end user.

Absolutely. You can define custom regular expressions, specific keywords, or connect to your existing data classification tags to ensure your unique intellectual property is protected.

The system logs every attempt. If a user consistently violates policy, their manager or the security team can be alerted automatically via our preset governance workflows.

AI FOR COMPANIES

Deploy sensitive data masking and related controls with Remova's enterprise AI governance platform.