Govern Every AI Agent and AI App's Access to Your Data

Strac discovers shadow AI, controls what agents can touch, redacts sensitive data in-flight, and proves it to auditors — across the browser, endpoints, and MCP connectors. One platform for the entire AI data surface.

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Trusted By Enterprises & ScaleUps

Discover AI Agents

Instant Visibility

Detect unmanaged AI apps (Shadow AI) in minutes via simple Google Workspace integration.

Quantify the Exposure

Don't just count apps—measure the volume. See exactly how much data (e.g., 342 GB) has left your environment.

Identify High-Risk Usage

Spot which "High Risk" tools are in rotation and which users are bypassing corporate policy.

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Control AI-Agents

Share sensitive data securely without anyone seeing it

Audit OAuth Permissions

Instantly see which apps have "Critical" access scopes, like reading emails, managing calendars, or accessing Google Drive files.

Identify Dormant Connections

Find and revoke access for apps that haven't been used in months but still hold keys to your data.

Visualize Data Access

Don't just see a list of apps; see exactly what they can touch. We flag apps with high-risk scopes (e.g., "Read/Write access to Google Drive" or "Full Gmail Access").

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Protect Gen AI Data Flows

Real-Time Interception

Scans text and files inside the browser (Client-Side) to prevent data from ever reaching external servers.

Content-Aware Blocking

Automatically detects and blocks high-risk categories like Customer PII, API Keys, and Source Code (as seen in your dashboard).

Zero-Latency Experience

Lightweight local inspection ensures users aren't slowed down—unless they try to upload your trade secrets.

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MCP & AI-Agent Data Flow Protection

See Every Agent ↔ Data Flow

See exactly what each AI agent reads and writes through every MCP connector — Slack, G Drive, Snowflake, Salesforce, GitHub, Shopify — with a full audit trail of which agent touched which record, when.

Control Access & Actions

Allow or block specific connectors, tools, and actions per agent, with approval gates on sensitive operations. Your agents only reach the data and systems they're authorized to.

Protect Data In-Flight

Redact, mask, or tokenize PII, secrets, and confidential records inline — before they reach the model or leave your environment. The agent gets its answer; it never sees the raw data.

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AI Data Governance capabilities

Shadow AI Discovery

Uncover every unmanaged AI tool in minutes. Gain 100% visibility into the "Shadow AI" economy. Instantly identify the 28+ unapproved apps your employees are using—from ChatGPT to unvetted PDF editors—and see exactly how much data (e.g., 342 GB) is leaving your perimeter

AI Agent & MCP Discovery

Inventory every AI agent and MCP connector touching your data — Slack, Google Drive, Snowflake, Salesforce, GitHub, Shopify — with the sensitive-data volume flowing through each.

OAuth App Governance

Revoke risky third-party access to corporate data. Employees grant wide-ranging permissions to apps like "Otter.ai" or "Slack" without IT knowledge. We audit every connected OAuth app, flag "Critical Risk" scopes (like full Gmail access), and allow one-click revocation of dangerous connections.

Browser & Web AI DLP

Warn, Block or Audit PII, API keys, source code and any sensitive data in ChatGPT, Claude, Gemini, and Copilot before they leave the browser.

Endpoint & Desktop AI DLP

Protect data inside desktop AI apps and coding agents — Cursor, ChatGPT Desktop, Claude — on managed devices.

MCP Connector DLP

Redact, mask, or tokenize sensitive records inline as agents read and write through MCP — the agent gets its answer, never the raw data.

Agent Access & Action Control

Allow or block connectors, tools, and actions per agent, with approval gates on sensitive operations. Strac sits inline as a gateway — agents only reach what they're authorized to.

Activity Monitoring & Audit Trail

Per-user, per-agent, per-action logs of who touched what, streamed to Splunk, Sentinel, or Datadog.

Compliance Evidence

Map every control to NIST AI RMF, ISO 42001, and the EU AI Act — turn governance into audit-ready proof.

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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AI Data Governance Use Cases

Scenario

A marketing team at a hospital starts using unauthorized AI writing tools to draft patient newsletters, while doctors experiment with unvetted "Medical Scribe" extensions to summarize notes. IT has no visibility into these new apps, and staff are unknowingly pasting Patient Names and medical histories into tools that retrain on their data, creating a massive HIPAA violation blind spot.

How Strac Gen AI Data Governance Helps

Strac delivers end-to-end governance. First, our Shadow AI Discovery instantly detects the 15+ unapproved AI writing tools and scribe extensions currently in use. Simultaneously, our DLP engine actively scans every prompt, automatically redacting PHI like Medical Record Numbers or Diagnoses in real-time. This allows you to embrace safe AI tools while blocking high-risk apps that violate your Business Associate Agreements (BAAs).

Scenario

To automate workflows, analysts grant a new "AI Meeting Notetaker" access to their corporate Google Calendar and Drive. The app requests dangerous "Read/Write" OAuth permissions, giving it silent access to sensitive loan agreements and Q4 spreadsheets. At the same time, employees are uploading Excel files full of Credit Card numbers (PCI) to public LLMs for quick analysis.

How Strac Gen AI Data Governance Helps

Strac secures both the "front door" and "back door." We audit Third-Party OAuth connections to flag and revoke apps with excessive scopes—like that meeting recorder with full Drive access. On the front end, our Gen AI DLP detects financial patterns (IBANs, credit card strings) in file uploads and blocks them instantly, ensuring analysts can use AI for insights without exposing the raw financial data.

Scenario

Engineers are adopting new "AI Coding Assistants" faster than security can vet them (Shadow AI). They connect these tools to the company’s GitHub repositories via OAuth for "context," and then copy-paste proprietary Source Code and AWS API Keys into the chat window to debug errors. This exposes the company's IP and infrastructure secrets to third-party vendors with unknown security postures.

How Strac Gen AI Data Governance Helps

Strac covers the entire developer workflow. We identify every unauthorized coding assistant in use (Shadow AI) and alert you to risky OAuth grants that expose your private repositories. Crucially, our Real-time DLP recognizes sensitive code blocks and "Secrets" (like API keys), preventing them from leaving the browser—ensuring your IP stays inside the building even while devs move fast.

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Enterprise-Grade AI Data Governance Use-Cases

Explore how leading organizations use Strac to enforce data security policies across Healthcare, Finance, and Technology sectors while accelerating GenAI adoption.

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