Know Where Your Data Came From. Stop It Before It Leaves

Traditional DLP scans for patterns. Strac tracks origin. When an employee tries to upload a corporate file to personal Gmail or ChatGPT—we know it's corporate, even if it's been renamed or edited.

Scan for Shadow AI

Trusted By Enterprises & ScaleUps

How Strac Data Lineage Works?

Step 1: We Know What's Corporate

Automatic discovery of corporate files

Every file synced from Box, Google Drive, OneDrive, or SharePoint is instantly cataloged—zero manual work

No tagging or labeling required

Forget classification projects that take months. Strac identifies corporate data the moment it touches an endpoint.

Works with all major cloud storage

Connect once. We handle Box, Google Drive, OneDrive, SharePoint, and Dropbox out of the box.

Step 2: We Track Files Across Your Organization

Renamed files still tracked

Board-Meeting.xlsx becomes Notes.xlsx? We still know it's your investor deck.

Edited versions detected

Copy, paste, modify—the lineage follows. A file's origin doesn't disappear when the content changes

Copied files identified

Partial copy into a new doc? Screenshot of a spreadsheet? We catch what content scanners miss

Step 3: We Stop Exfiltration at the Browser

Block uploads to personal Gmail, Dropbox, WeTransfer

Personal Gmail, Dropbox, WeTransfer—corporate files don't leave through the browser.

Prevent data leaks to ChatGPT, Claude, Gemini

Employee uploads your sales forecast to ChatGPT? Blocked. Redirected to your enterprise AI instead.

Educate users with policy context

Every block shows why. Employees learn the policy, not just the 'no.'

Strac Data Lineage DLP

Corporate File Origin Tracking

Know exactly where every sensitive file came from. Strac automatically identifies files synced from Box, Google Drive, OneDrive, and SharePoint—giving you instant visibility into

Persistent File Lineage

Modified, renamed, copied—we still know it's corporate data. Unlike content-only scanning, Strac tracks file lineage even when employees edit, rename, or copy files locally. A "Board-Meeting.xlsx" renamed to "Notes.xlsx" is still flagged as corporate IP.

Browser-Level Enforcement

Stop data leaks at the point of exfiltration. Strac's browser extension intercepts uploads to personal cloud storage, webmail, and unauthorized SaaS apps—before sensitive data ever leaves your environment.

GenAI Upload Protection

Prevent corporate files from reaching ChatGPT, Gemini, and other AI tools. When employees try to upload tracked corporate files to GenAI platforms, Strac warns, blocks, or redirects them to your approved enterprise AI instance.

Lightweight, Privacy-First Deployment

Full visibility without invasive monitoring. No keystroke logging. No screen recording. Strac's endpoint agent runs silently on Windows devices, scanning only synced cloud folders—not personal files, browsing history, or private data.

Flexible Policy Controls

Warn, nudge, or block—your choice. Configure responses based on risk level: soft warnings for low-risk uploads, mandatory redirects for GenAI tools, hard blocks for uploads to personal Dropbox or Gmail. Educate employees without killing productivity.

What our customers say

Hear from companies who leveraged Strac to secure and accelerate their business

“Strac protects our customer support communication channels”

To protect our clients as well as ourselves, we needed a secure way to protect our communication channels for security and compliance reasons. We used Strac's Email Redaction solution where Strac protects all our employee inboxes. The redaction experience is beautiful, easy, and secure. It catches all kinds of sensitive pdfs, jpegs, images, word docs, and even in email bodies. The integration was up and running in a few minutes. The service offered by Strac's team is the best I have seen as we work with a lot of SaaS providers.

We Highly Recommend Strac to all businesses who want to protect their SaaS apps.

Nathan Seifert

Head of IT at Trivium

“Strac secures our PII on customer support and on backend servers”

On our Intercom customer support, anyone can send sensitive data to a business and a business is liable even if they did not ask for it. Strac solves that huge problem by automatically redacting sensitive data that is shared over Intercom with their accurate machine learning technology. We also leveraged Strac's Zero Data architecture via tokenization & proxy APIs so that we don't have to worry about touching sensitive data and documents on our backend servers. Strac dramatically reduces security and SOC compliance risks for us while significantly improving security posture for Seis. Strac's solutions were extremely easy to integrate (literally in few minutes) and scaled to meet our needs.

Josh Howland

CTO and Co-Founder at Seis

“Loved Strac's Interceptor Solution”

We leverage Strac's tokenization & interceptor solution so that we don't have to worry touching sensitive SSNs and can leverage Strac's security expertise in building hundreds of security controls.

We could also detect identity fraud using Strac's unique tokenization solution which we are really happy with. That saved us a ton of financial losses and headaches. We are looking forward to integrating with various other Strac solutions deep into our tech stack.

Kevin Hopkins

CTO at Zeta

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Strac Data Lineage Enforcement Options

Scenario

Alert employees that they're about to share corporate data. Log the action for audit purposes. Let them proceed if they acknowledge the risk.

Use Case

Best for: Low-sensitivity data, building security awareness

Scenario

Show employees why the action is risky. Suggest a secure alternative—like using enterprise ChatGPT instead of the personal version.

Use Case

Best for: GenAI tools, driving enterprise adoption

Scenario

Prevent the upload entirely. No exceptions. Critical for highly sensitive data like customer PII, financial records, or source code.

Use Case

Best for: PII, PHI, financial data, source code

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Enterprise-Grade Data Lineage

Explore how leading organizations use Strac to enforce data security policies across Healthcare, Finance, and Technology sectors while not worrying about data leaks

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