Last updated 06-28-2026
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Strac
Strac is a data security platform that helps enterprises discover, classify, and protect sensitive information across SaaS apps, cloud storage, browsers, endpoints, and generative AI tools. Security teams use it to find PII, PHI, PCI, and proprietary data, then automate remediation through redaction, masking, blocking, or alerting. It targets organizations that want DSPM and DLP in one place instead of juggling separate scanners and policy engines.
The platform covers agentless SaaS integrations alongside browser, endpoint, and MCP controls. Strac scans prompts and file uploads before they reach ChatGPT, Claude, Gemini, or Copilot, intercepts MCP tool responses to redact credentials inline, and offers tokenization APIs so application backends never store raw SSNs or payment fields.
CISOs, security engineers, and compliance teams at healthcare, fintech, and technology companies deploy Strac for HIPAA, PCI DSS, SOC 2, and ISO 27001 programs. The founding team spent 30+ years building payments security at Amazon, and the company lists Y Combinator among its backers.
Agentless SaaS hooks for Slack, Gmail, Zendesk, Notion, and Google Drive go live in about 15 minutes
ML and OCR scan PDFs, images, spreadsheets, and unstructured text for PII, PHI, and PCI
Browser DLP blocks or warns on sensitive uploads to ChatGPT, Claude, Gemini, and Copilot
MCP interceptors redact credentials inline before tool responses reach the model
Historical and real-time scans cover months of legacy data across SaaS and cloud apps
Tokenization and proxy APIs keep raw SSNs and payment data off your own servers
Per-user audit logs stream to Splunk, Sentinel, or Datadog for AI agent activity
One platform spans SaaS DLP, DSPM, browser Gen AI controls, endpoint agents, and MCP protection.
About page cites sub-15-minute setup with no-code integrations and 99.99% redaction accuracy.
Tokenization and proxy APIs let backends avoid storing raw SSNs and payment card data.
G2 badges on the homepage highlight sensitive data discovery and cloud security support categories.
No public dollar pricing; every deployment starts with a sales demo.
Endpoint, Mac, and Linux DLP requires installing agents on employee devices.
Breadth of enterprise integrations may be more than small teams without dedicated security staff need.
Does Strac have a free plan?
Strac does not publish a free tier on its website. Prospects book a demo through strac.io to discuss deployment and pricing with the sales team.
How quickly can Strac be deployed?
Strac says teams can get started in under 15 minutes with no-code SaaS integrations. Customer testimonials on strac.io also cite onboarding times ranging from 10 minutes to about an hour depending on the integration.
What apps does Strac integrate with?
Strac integrates with Slack, Gmail, Google Drive, Office 365, Zendesk, Intercom, Notion, Salesforce, Jira, HubSpot, Box, and cloud storage on AWS, Azure, and GCP. A full list is on the integrations page at strac.io/integrations.
Can Strac protect generative AI tools?
Yes. Strac offers Gen AI DLP that scans browser prompts and file uploads to ChatGPT, Claude, Gemini, and Copilot. Policies can warn users, require justification, or hard-block sensitive content before it reaches external models.
Does Strac support MCP security?
Strac provides MCP DLP that logs agent-to-data flows, redacts sensitive records inline during MCP tool calls, and helps discover shadow MCP servers across the environment. Details are on strac.io/mcp-integrations.
What compliance frameworks does Strac support?
Strac helps teams meet HIPAA, PCI DSS, SOC 2, ISO 27001, CCPA, and GDPR requirements. Its site lists dedicated compliance pages for HIPAA, SOC 2, ISO 27001, CCPA, and PCI DSS data protection workflows.
What sensitive data types does Strac detect?
Strac scans for PII, PHI, PCI, financial identifiers, source code, API keys, and other proprietary data across unstructured text and documents including PDF, DOCX, PNG, JPEG, XLS, and ZIP files.