Strac: Protect Sensitive Data Without Touching It

Five years ago, organizations worried about protecting customer databases.

Today, sensitive information flows through Slack conversations, Salesforce cases, Google Drive documents, Zoom recordings, ChatGPT prompts, Microsoft Copilot, Claude, browser uploads, MCP servers, and dozens of other cloud applications.

The problem isn't simply where data is stored.

It's how quickly sensitive information spreads across modern AI-powered workflows.

A single customer support ticket can contain:

• Social Security Numbers
• Credit card numbers
• Medical information
• API keys
• Database credentials
• Source code
• Internal financial data
• Customer contracts

Traditional DLP solutions generate alerts after the exposure has already happened.

Strac prevents the exposure in the first place.

What Strac Protects

Strac continuously discovers and protects sensitive data across structured and unstructured content, including:

Personal Data

• Social Security Numbers
• Passport numbers
• Driver's Licenses
• National IDs
• Addresses
• Phone numbers
• Email addresses
• Dates of Birth

Financial Data

• Credit Cards
• Bank Accounts
• Routing Numbers
• PCI Data
• Tax IDs

Healthcare Data

• Medical Records
• Patient Information
• Insurance IDs
• Prescription Information
• PHI

Secrets

• API Keys
• Tokens
• AWS Credentials
• SSH Keys
• Certificates
• OAuth Tokens

Intellectual Property

• Source Code
• Product Roadmaps
• Customer Lists
• Financial Reports
• Contracts
• Internal Documentation

And thousands of custom business identifiers unique to your organization.

✨One Platform Across Your Entire Data Estate

Unlike legacy DLP tools that protect only email or endpoints, Strac provides unified protection across your modern technology stack.

SaaS Applications

Automatically discover and remediate sensitive data inside:

• Google Workspace
• Microsoft 365
• Slack
• Salesforce
• Zendesk
• Jira
• Confluence
• Box
• Dropbox
• Notion
• GitHub
• Intercom
• HubSpot
• And dozens more.

Cloud Storage & Data Platforms

Continuously scan cloud repositories for sensitive information, including:

• AWS
• Azure
• Google Cloud
• Snowflake
• Amazon S3
• Google Drive
• OneDrive
• Box
• SharePoint

Generative AI Applications

Prevent sensitive information from leaking into AI models such as:

• ChatGPT
• Microsoft Copilot
• Claude
• Gemini
• Perplexity
• Custom LLM applications

Monitor prompts, responses, uploads, and generated content before confidential information leaves your organization.

Browser & Endpoint Protection

Monitor browser activity and endpoint data movement to prevent users from accidentally exposing sensitive information through uploads, downloads, copy/paste actions, or AI applications.

MCP Security

As organizations adopt Model Context Protocol (MCP), Strac helps monitor sensitive information flowing between AI agents, MCP servers, enterprise applications, and LLMs, reducing the risk of data exfiltration through autonomous AI workflows.

✨ AI-Powered Discovery Instead of Regex

Modern sensitive data rarely follows predictable patterns.

Traditional DLP relies heavily on regex, resulting in high false positives and missed detections.

Strac combines:

• AI-powered classification
• Machine learning
• OCR
• Context-aware detection
• Document understanding
• Image scanning

This enables accurate detection across:

• PDFs
• Images
• Screenshots
• Scanned documents
• Emails
• Chat conversations
• Attachments
• Source code
• Spreadsheets

✨ Automated Remediation

Detection alone doesn't stop a breach.

Once sensitive information is identified, Strac can automatically:

• Redact sensitive information
• Mask confidential data
• Quarantine files
• Encrypt documents
• Delete exposed content
• Notify security teams
• Coach users in real time
• Trigger workflow automations
• Generate audit evidence

Organizations can choose automated or approval-based workflows depending on their security requirements.

✨ Continuous Data Discovery

Sensitive information is constantly being created.

Strac continuously scans connected environments to answer questions like:

• Where does sensitive data exist?
• Who has access?
• Is it overshared?
• Is it exposed externally?
• Does it violate company policy?
• Has it appeared inside AI applications?
• Does it contain regulated information?

This gives security teams continuous visibility instead of point-in-time assessments.

Compliance Made Easier

Strac helps organizations reduce compliance risk by discovering and remediating regulated data across their environment.

Common frameworks include:

• HIPAA
• PCI DSS 4.0
• GDPR
• SOC 2
• ISO 27001
• CCPA
• GLBA
• FERPA

Rather than relying on manual audits, organizations can continuously monitor sensitive data and generate evidence for compliance reviews.

🎥 Why Organizations Choose Strac

Security teams choose Strac because it combines modern DSPM and DLP capabilities in a single platform.

Key advantages include:

• AI-powered sensitive data discovery
• Unified DSPM + DLP platform
• SaaS, cloud, endpoint, browser, GenAI, and MCP coverage
• Real-time remediation instead of alert-only detection
• Agentless deployment for SaaS environments
• AI-native detection using ML and OCR
• Support for structured and unstructured data
• Faster deployment with minimal operational overhead

Bottom Line

Sensitive data no longer lives in one place.

It moves across cloud applications, collaboration platforms, AI assistants, browsers, endpoints, and enterprise systems every day.

Protecting that data requires more than alerts. It requires continuous discovery, intelligent classification, and automated remediation.

Strac helps organizations discover where sensitive data exists, understand their exposure, and automatically reduce risk across their modern data estate—all from a single AI-native DSPM and DLP platform.

🌶️ Spicy FAQs on Protecting Sencitive Data

1. How is Strac different from traditional DLP solutions?

Traditional DLP tools primarily detect and alert on sensitive data exposures, often relying on regex-based rules that generate false positives. Strac combines AI-powered DSPM and DLP to continuously discover, classify, and automatically remediate sensitive data across SaaS apps, cloud storage, endpoints, browsers, GenAI tools, and MCP environments. Instead of just alerting, Strac can redact, mask, quarantine, encrypt, or delete sensitive data in real time.

2. Can Strac protect sensitive data shared with AI tools like ChatGPT and Microsoft Copilot?

Yes. Strac helps prevent users from accidentally exposing confidential information to AI applications such as ChatGPT, Microsoft Copilot, Claude, Gemini, and other LLMs. It monitors prompts, responses, uploads, and files to detect and remediate sensitive data before it leaves your organization.

3. What types of sensitive data can Strac detect?

Strac detects thousands of sensitive data types using AI, machine learning, OCR, and context-aware classification. This includes PII, PHI, PCI data, API keys, secrets, financial records, source code, intellectual property, contracts, customer information, and custom data elements unique to your business.

4. Does Strac only detect sensitive data, or can it automatically fix issues?

Strac goes beyond detection. Security teams can configure automated remediation actions such as redacting sensitive information, masking values, quarantining files, deleting exposed content, encrypting documents, notifying stakeholders, or coaching users in real time. This significantly reduces the time between discovery and remediation.

5. Which compliance frameworks does Strac support?

Strac helps organizations strengthen compliance with major regulations and security frameworks, including PCI DSS 4.0, HIPAA, GDPR, SOC 2, ISO 27001, CCPA, GLBA, and FERPA. By continuously discovering, classifying, and remediating sensitive data across your environment, Strac simplifies audits and reduces compliance risk.