Strac — AI-Native Data Security: DLP & DSPM across SaaS, Cloud, GenAI, and AI Agents (MCP)
Strac is an AI-native Data Loss Prevention (DLP) and Data Security Posture Management (DSPM) platform that discovers, classifies, and protects sensitive data everywhere it lives and moves — across SaaS apps, cloud storage and databases, GenAI tools, AI agents (MCP), browsers, endpoints, and email.
Data loss used to be an egress problem — files leaving over email, uploads, and copy-paste. The bigger shift now is ingress: AI agents and MCP connectors (Claude, ChatGPT, Cursor, Copilot) pulling sensitive data into prompts and outputs that no one is watching. Strac is one of the few data security platforms purpose-built for this new layer — it sits in the path of every AI tool call and redacts PII, PHI, PCI, secrets, and source code before the model ever sees it.
Strac detects and remediates sensitive data with high accuracy — including text inside images and documents (OCR across PDFs, DOCX, XLSX, PNG/JPEG, ZIP) — and acts on it in real time: redact, mask, tokenize, block, or vault. Strac's signature redaction-to-vault flow removes sensitive values from where they don't belong while keeping the original securely retrievable for authorized use — so workflows keep working and regulated data doesn't.
It deploys agentlessly in under 10 minutes across 50+ integrations (Slack, Google Workspace, Microsoft 365, Salesforce, Zendesk, Jira, GitHub, AWS S3, Azure Blob, Snowflake, Postgres, and more), with a complete who-accessed-what audit trail mapped to SOC 2, HIPAA, PCI DSS, GDPR, ISO 27001, ISO 42001, and the EU AI Act.
Teams choose Strac to adopt AI and SaaS without putting customer data at risk — getting enterprise-grade data security that's fast to deploy, accurate, and built for the AI era.
All SaaS/Cloud/Gen AI/Browser/Endpoint Integrations: https://strac.io/integrations
All MCP Integrations: https://strac.io/mcp-integrations
Why teams choose Strac (differentiators)
- AI Agent & MCP DLP — secure connectors for Claude, ChatGPT, Cursor, Copilot and custom agents; redact, control access, and audit every tool call. (Few competitors do this.)
- Redaction-to-Vault flow — remove sensitive data and keep it retrievable for authorized users.
- Breadth + depth — 50+ SaaS, cloud, GenAI, browser, endpoint, and email surfaces in one platform.
- Agentless, <10-minute deployment — no endpoint agents, no code changes.
- Accuracy — PII, PHI, PCI (PAN/Luhn), secrets/API keys (48+ patterns), source code, OCR-in-images.
- Compliance built in — audit-ready evidence for SOC 2, HIPAA, PCI, GDPR, ISO.
Average Rating: 4.9/5.0
Total Reviews: 28
How Do G2 Users Rate Strac?
-
Ease of Use: 9.7/10 (Category avg: 8.8/10)
-
Has the product been a good partner in doing business?: 9.9/10 (Category avg: 9.1/10)
-
Ease of Admin: 9.6/10 (Category avg: 8.7/10)
-
What is your organization's estimated ROI on the product (payback period in months)?: 10/10 (Category avg: 10/10)
Who Is the Company Behind Strac?
-
Seller: Strac
-
Company Website:
-
Year Founded: 2021
-
HQ Location: Bellevue, Washington
-
Twitter: @securewithstrac
85 Twitter followers
-
LinkedIn® Page: www.linkedin.com
13 employees on LinkedIn®
Who Uses This Product?
-
Top Industries: Financial Services
-
Company Size: 50% Medium, 50% Small
What Do G2 Reviewers Say About Strac?
AI-generated summary from verified user reviews
Pros
- Users value the data protection capabilities of Strac, praising its ability to safeguard sensitive information across platforms.
- Users commend Strac for its robust data security, effectively protecting sensitive information and minimizing risks of data loss.
- Users value Strac for its exceptional security features, effectively protecting sensitive data across multiple SaaS applications.
- Users commend Strac for its exceptional customer support, ensuring seamless integration and prompt assistance for their needs.
- Users value the ease of use of Strac, appreciating its simple onboarding and quick integration process.
Cons
- Users experienced authentication issues initially, but improvements like SSO integration are being implemented quickly.
- Users note the limited features initially, but appreciate the rapid development towards effective solutions like SSO integration.
- Users are frustrated by login issues due to initial lack of MFA options, though improvements are underway.
