Strac
Strac is a Washington, US-based AI-native data security platform combining DSPM and DLP to discover, classify, and remediate sensitive data across SaaS, cloud, endpoint, and GenAI environments for mid-market and enterprise customers.
- Company typePrivate
- Founded2021
- HeadquartersWashington, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
Strac firmographics
Firmographics- Name
- Strac
- Legal name
- Strac
- Website
- https://strac.io
- Company type
- Private
- Founded year
- 2021
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Strac is a Washington, US-based AI-native data security platform combining DSPM and DLP to discover, classify, and remediate sensitive data across SaaS, cloud, endpoint, and GenAI environments for mid-market and enterprise customers.
- Ownership category
- akta.pro rank
Strac industry classification
Industry- Product category
- Data Loss Prevention Software
- NAICS
- Computer Systems Design and Related Services (5415), Computer Systems Design and Related Services (54151)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- Data Security & Privacy for Cloud (DLP, DSPM, Tokenization) (HDABAHAK)
- akta.pro secondary industries
- Data Masking, Tokenization & De-identification (HDADAFAI), Endpoint Security Managed Services (EDR/XDR) (BPAEADAH), Runtime Application Self-Protection & In-App Detection (HDADACAI)
Keywords
Where Strac is headquartered
LocationHeadquarters
- HQ city
- Washington
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Strac business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations
Revenue model
- SaaS Subscription: Cloud-native SaaS platform with subscription-based pricing. Agentless deployment with OAuth integrations. Enterprise pricing with tiered plans based on features and scale.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Enterprise SaaS subscription with custom pricing |
Go-to-market motion3 records
Distribution channels3 records
Marketing channels8 records
Strac product offering
Product offeringCore offering
Strac is an AI-native data security platform combining DSPM (Data Security Posture Management) and DLP (Data Loss Prevention) that discovers, classifies, and protects sensitive data across SaaS applications, cloud infrastructure (AWS, Azure, GCP), endpoints (Windows, macOS, Linux), and generative AI tools (ChatGPT, Claude, Gemini, Copilot, MCP servers). The platform uses ML and OCR-based detection across 100+ sensitive data types with agentless OAuth integrations that deploy in 5-15 minutes, performing real-time inline remediation (redaction, masking, blocking) before data leaves the environment.
Product overview
Strac is an AI-native data security platform that combines Data Security Posture Management (DSPM) and Data Loss Prevention (DLP) into a unified solution. The platform operates across SaaS applications (Slack, Gmail, Google Drive, Office 365, Zendesk, Salesforce, and 30+ others), cloud infrastructure (AWS, Azure, GCP), endpoints (Windows, macOS, Linux), and Generative AI tools (ChatGPT, Claude, Gemini, Copilot, MCP servers). The core architecture consists of SaaS DLP, Endpoint DLP, and Enterprise DLP as the primary product lines, supported by specialized add-on modules including Email Security, PII Scanner, Data Discovery and Classification, DSPM, Mac DLP, Linux DLP, Browser DLP, MCP DLP, Data Lineage, and Generative AI DLP. The platform uses machine learning and OCR for sensitive data detection, offering no-code OAuth-based integrations that deploy in under 15 minutes with automated discovery, classification, and remediation capabilities.
Differentiator
Problem solved
Functional benefit
Products and services
- SaaS DLP Real-time data loss prevention for SaaS applications including Slack, Gmail, Google Drive, Office 365, Zendesk, and more. Identifies, categorizes, and redacts PII, financial information, PHI, and IP from SaaS environments using OAuth-based API integrations with no-code setup.
- Endpoint DLP Content classification and contextual analysis solution to identify sensitive information at endpoints (Windows, macOS, Linux). Enforces data security policies and prevents data leakage from employee devices.
- Enterprise DLP Comprehensive enterprise data security platform that unifies endpoint, SaaS, and cloud DLP under a single integration. Provides centralized policy management, unified visibility, and consistent remediation across all data channels.
- Email Security Email DLP solution that scans and redacts PII, PHI, and confidential data in email flows including body text and attachments. Protects both inbound and outbound email communications with real-time inspection and redaction.
- PII Scanner Accurate sensitive data scanning and classification solution across all endpoints, SaaS, and cloud environments. Uses ML and OCR models to detect PII, PHI, PCI, secrets, and other sensitive data elements in structured and unstructured content.
- Data Discovery and Classification Real-time sensitive data inspection and classification solution tailored to specific business needs. Discovers sensitive data across SaaS, cloud, and endpoint environments with continuous monitoring and automated classification labeling.
- Data Security Posture Management (DSPM) Cloud-native data security posture management solution that continuously monitors data exposure, access controls, and security configurations across AWS, Azure, GCP, and SaaS environments. Automatically remediates posture risks including public sharing, overprivileged access, and misconfigurations.
- ChatGPT DLP GenAI DLP integration specifically designed for ChatGPT that prevents PII, PHI, and sensitive files from being shared with AI models. Inspects prompts and uploads in real time with configurable block, warn, or redact actions.
- MCP DLP Model Context Protocol security layer that discovers and protects sensitive data flowing through MCP servers and AI agent tool calls. Inspects every tool-call response before AI agents write data into context, with configurable remediation per data class.
- Browser DLP Chrome and Edge browser extension that intercepts sensitive data at the browser layer before it reaches AI tools. Features real-time prompt inspection, inline redaction, image OCR for screenshots, and no-proxy deployment for immediate coverage across all AI tabs.
- Data Lineage Endpoint data lineage tracking solution that identifies corporate file origins automatically and maintains lineage even when files are renamed, copied, or edited. Blocks exfiltration to unauthorized destinations based on file provenance rather than just content inspection.
- Generative AI DLP Comprehensive DLP solution for generative AI applications including ChatGPT, Claude, Gemini, and Copilot. Governs data flowing into and out of AI models through prompt inspection, output filtering, and real-time remediation across browser, endpoint, SaaS, and MCP channels.
- Document Vault Secure document storage, management, and protection solution for sensitive documents. Provides safe storage with encryption and controlled sharing capabilities for sensitive files requiring additional security layers.
Quantifiable outcome
- Integration time reduced to under 10 minutes vs traditional DLP weeks/months
- +1 more outcomes
Companies that use Strac
Customer profileNamed customers10 records
Segments4 records
Ideal customer profiles4 records
Strac technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration33 records
AI capability7 records
Feature7 records
Strac partnerships and signals
Strategic signalScale indicators3 records
Recent moves6 records
Expansion highlights5 records
Strac competitors and assessment
Company assessmentDirect peers
- Cyera: AI-native DSPM platform that discovers, classifies, and secures sensitive data across cloud and SaaS environments. Highly comparable to Strac's DSPM + DLP positioning, both targeting modern data estates with ML-based detection.
- Nightfall AI: AI-native DLP platform that discovers and protects sensitive data across SaaS, cloud, and endpoints using ML detection. Closest direct peer to Strac, with similar product surface area, customer segments, and go-to-market motion.
Broad incumbents
- Varonis: Established data security and DSPM platform with deep coverage across cloud, SaaS, and on-premises data stores. Listed explicitly by Strac as a competitor; broader portfolio and larger enterprise sales force make it a broad incumbent.
- Netskope: SSE/SASE leader with a cloud DLP module covering SaaS, IaaS, and web traffic. Named by Strac as a comparison target; broader platform but overlapping DLP functionality for cloud and SaaS data protection.
- Proofpoint: Enterprise DLP and email security vendor with deep coverage across email, endpoint, and cloud. Listed by Strac as a competitor; much larger installed base and broader compliance/remediation suite.
- Forcepoint: Legacy enterprise DLP vendor with on-premises and cloud offerings across data, email, and endpoint channels. Compared by Strac as a regex-heavy incumbent being displaced by ML-native detection.
- Microsoft Purview DLP: Native Microsoft DLP and information protection suite bundled with Microsoft 365 and Azure. The platform incumbent most likely to pressure Strac in deals where customers are deeply invested in Microsoft ecosystems.
- Wiz: Cloud security platform with growing DSPM capabilities across AWS, Azure, and GCP. Broader cloud security posture than Strac but increasingly overlapping on the data-layer security layer Strac competes in.
Emerging players
- Harmonic Security: Emerging data security posture management platform focused on sensitive data discovery across modern SaaS and AI tools. Comparable to Strac's DSPM/GenAI DLP focus but with narrower product surface.
- Polymer DLP: No-code DLP platform protecting SaaS apps and cloud data with simple integrations. Comparable to Strac's PLG-friendly agentless approach but at an earlier stage of customer scale.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat4 records
Key risks5 records
Key highlights7 records
Customer concentration
Strac social profiles
Digital presenceStrac compliance and trust
Trust signalCompliance6 records
Strac financial estimates
Financial estimateRevenue estimate
Valuation estimate
Strac leadership team
Management profileNumber of profiles
Profiles1 record
Strac funding detail
Funding detailFunding overview
Funding rounds2 records
Investors5 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Strac M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Strac
What does Strac do?
Strac is an AI-native data security platform combining DSPM (Data Security Posture Management) and DLP (Data Loss Prevention) that discovers, classifies, and protects sensitive data across SaaS applications, cloud infrastructure (AWS, Azure, GCP), endpoints (Windows, macOS, Linux), and generative AI tools (ChatGPT, Claude, Gemini, Copilot, MCP servers). The platform uses ML and OCR-based detection across 100+ sensitive data types with agentless OAuth integrations that deploy in 5-15 minutes, performing real-time inline remediation (redaction, masking, blocking) before data leaves the environment.
Is Strac a public or private company?
Strac is a private company. It is classified as venture growth investor backed and is currently operating.
When was Strac founded?
Strac was founded in 2021. It employs 11 to 50 people.
Where is Strac based?
Strac is headquartered in Washington, United States, in the North America region.
How does Strac make money?
One revenue line is on record: saaS Subscription.
Who are Strac's main competitors?
Direct peers on record are Cyera and Nightfall AI. Broad incumbents are Varonis, Netskope, Proofpoint, Forcepoint, Microsoft Purview DLP and Wiz. Emerging players are Harmonic Security and Polymer DLP.
Does Strac have an API?
Yes. Strac offers comprehensive API documentation for integration purposes. Developers can explore detailed guidance and quick reference at docs.strac.io. The API enables programmatic access to Strac's DLP and DSPM capabilities, including sensitive data scanning, classification, and remediation operations. Developer documentation is at docs.strac.io.
What industry is Strac in?
Strac's product category is Data Loss Prevention Software. Its primary akta.pro industry code is HDABAHAK, Data Security & Privacy for Cloud (DLP, DSPM, Tokenization), with a secondary code of HDADAFAI, Data Masking, Tokenization & De-identification. Its NAICS code is 5415 and its SIC code is 7372.