Cyberhaven
AI-native data security platform unifying DSPM, DLP, and insider risk.
Cyberhaven is a top-tier choice for enterprises needing unified DLP and DSPM with AI-native detection and minimal false positives. Its policyless protection and agentic AI reduce operational overhead, but it may be overkill and too costly for small teams or simple environments.
- Security teams in regulated industries needing audit-ready DLP and DSPM
- Organizations adopting generative AI who need to prevent data leaks to AI tools
- Teams frustrated with legacy DLP false positives and complex tuning
- Enterprises with hybrid data environments (cloud, endpoint, SaaS) requiring unified visibility
- Small businesses with limited security budgets and simple data flows
- Teams that need a lightweight, endpoint-only DLP without AI capabilities
- Organizations looking for a free or low-cost open-source data security tool
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Skip Cyberhaven if you're a small business with simple data flows and a limited budget, or if you need a lightweight endpoint-only DLP without AI capabilities.
Pricing is undisclosed and likely requires an annual contract with per-seat minimums, making it unsuitable for small teams.
Cyberhaven's undisclosed enterprise pricing fits mid-to-large enterprises with six-figure security budgets. Cheaper alternatives like Microsoft Purview or Google DLP offer baseline DLP at lower cost, while competitors like Varonis or CrowdStrike can be more affordable for similar scope.
In short
Cyberhaven — AI-native data security platform unifying DSPM, DLP, and insider risk. Best for Security teams in regulated industries needing audit-ready DLP and DSPM, Organizations adopting generative AI who need to prevent data leaks to AI tools, Teams frustrated with legacy DLP false positives and complex tuning. Contact Sales pricing.
What's new in Cyberhaven
Checked 12 days agoAcross the latest 4 updates: 4 news mentions.
AI Inference Risk: The Data Exposure Your DLP Can't See
Discusses how AI inference risk is missed by traditional DLP and how Cyberhaven's data lineage can detect it.
From Paralysis to Action: Why First-Wave DSPM Left Security Teams Drowning in Data They Could Not Use
Explains how first-gen DSPM lacked actionable context and how data lineage bridges the gap.
Data Governance vs. Data Security
Explores the difference between data governance and security and how Cyberhaven connects both.
Endpoint DLP vs Network DLP
Compares endpoint and network DLP blind spots and implications for DLP strategy.
Viability Score
How likely is Cyberhaven to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- Data loss prevention across email, web, cloud, and devices
- Data security posture management for discovery and classification
- Insider risk management combining data and behavior signals
- AI security: shadow AI discovery, risk assessment, policy enforcement
- End-to-end data lineage with context-aware AI classification
- Agentic AI detection (Linea) for real-time block and coach
- Automated investigation agent (Linea AI Analyst) with reports
- Policyless protection with automatic risk detection
- Deployment across endpoints, cloud, SaaS, on-prem, and AI tools
- Real-time user coaching with contextual prompts
- Support for GDPR, SOC 2, GLBA, SEC compliance evidence
- Preventing IP theft and trade secret loss in manufacturing
- Integration with collaboration tools, code repos, and messaging apps
- AI inference risk detection via data lineage
- Track data fragments and snippets across modern workflows
About Cyberhaven
Cyberhaven is an AI-native data security platform that unifies Data Security Posture Management (DSPM), Data Loss Prevention (DLP), Insider Risk Management (IRM), and AI Security into a single solution. Designed for security teams in regulated industries such as finance, healthcare, manufacturing, and legal, it provides deep data lineage and context-aware classification to eliminate false positives and detect risky data movement in real time. The platform covers endpoints, cloud, SaaS, on-prem, and AI tools, offering features like traceable data lineage, agentic AI detection (Linea), shadow AI discovery, and policy-based blocking across email, web, cloud, and devices. Unlike legacy DLP tools, Cyberhaven understands data fragments and snippets, making it suitable for modern AI-driven workflows where data is copied, pasted, or summarized. It also includes automated investigations via Linea AI Analyst and real-time user coaching. Compared to alternatives like Microsoft Purview or CrowdStrike, Cyberhaven offers a more unified, AI-native approach with reduced false positives and easier operation.
Behind the Verdict
Cyberhaven's unified platform approach is its strongest selling point. By combining DSPM, DLP, insider risk, and AI security, it eliminates the need to stitch together multiple point products. The deep data lineage means you can trace exactly how sensitive data moves—critical for compliance in regulated industries. We'd reach for this when you're drowning in false positives from traditional DLP; the policyless protection and AI-driven detection genuinely cut noise. But it's not a lightweight choice. For small businesses with straightforward data flows, the investment in time and budget is hard to justify. The closest alternative is Microsoft Purview, but Purview often requires extensive tuning and may not handle AI tool data as natively. Where Cyberhaven bites: the pricing is likely enterprise-level, and while deployment is fast, you'll need a dedicated security team to operationalize it fully. Overall, it's a future-proof pick for organizations serious about AI-era data protection.
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Real-world workflow fit
Concrete scenarios for the personas Cyberhaven actually fits — and what changes day-one when you adopt it.
Needs to prevent sensitive customer data from leaking to unauthorized AI tools like ChatGPT.
Outcome: Deploys Cyberhaven's endpoint agent and integrates with Microsoft 365. Within days, discovers 50 shadow AI apps and blocks data exfiltration in real time, reducing false positives by 90%.
Investigates potential insider threat where an employee is copying patient records to a personal cloud drive.
Outcome: Uses Cyberhaven's data lineage to see the exact path of the data (origin, fragments, copies). The investigation completes in 30 minutes, providing audit-ready evidence for HIPAA compliance.
Wants to secure proprietary design files from being exfiltrated via email or web.
Outcome: Configures Cyberhaven's policyless DLP to automatically detect and block transmission of design data. Within a week, sees a reduction in data exfiltration attempts and gains visibility into previously unknown data flows.
Use Cases
- Prevent sensitive data exfiltration across endpoints, cloud, and AI tools like ChatGPT and Copilot.
- Discover and classify sensitive data at rest in cloud storage and on endpoints.
- Detect and investigate insider threats by correlating data movement and user behavior.
- Secure adoption of generative AI tools by monitoring shadow AI usage and blocking data leaks.
- Govern shadow AI agents like Claude Code and Copilot to prevent unauthorized data access.
- Automate incident response to data policy violations via integration with SOAR platforms like Torq.
- Accelerate forensic investigations with real-time data lineage showing when and how data moved.
- Automate GDPR compliance evidence collection with DSPM and DLP.
Models Under the Hood
as of 2026-07-05
Limitations
- Pricing is not publicly disclosed and likely enterprise-level, requiring a sales interaction.
- The platform depends on endpoint agents for full visibility, which may not suit all environments.
- Integration ecosystem appears to be growing but may be less extensive than some legacy DLP platforms.
as of 2026-06-30
Where the pricing makes sense
The company stage and team size where Cyberhaven's pricing actually pencils out — and where peers do it cheaper.
Cyberhaven's undisclosed enterprise pricing fits mid-to-large enterprises with six-figure security budgets. Cheaper alternatives like Microsoft Purview or Google DLP offer baseline DLP at lower cost, while competitors like Varonis or CrowdStrike can be more affordable for similar scope.
Setup time & first value
How long it actually takes to get something useful out of Cyberhaven — broken out by persona, not the marketing-page minute.
For a CISO at a financial firm, initial deployment (agent installation and integration with Microsoft 365) can be completed in a day, with full data lineage and policy effectiveness visible within a week. The platform's policyless approach reduces tuning time compared to legacy DLP.
Switching to or from Cyberhaven
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Symantec DLP: Migrate policies and endpoints via Cyberhaven's guided import tool; data lineage replaces signature-based rules.
- →From Microsoft Purview: Use Cyberhaven's integration with Azure to unify DLP and DSPM with fewer false positives.
- ↗To Microsoft Purview: Export data lineage reports and manually reconfigure DLP policies; note that fragment detection may be lost.
- ↗To CrowdStrike: Use Cyberhaven's API to export detection logs and reconfigure endpoint controls.
Integrations
Resources & Guides
- Resourcecyberhaven.com
Resource Library: Insider Risk & AI Security
Helpful link from cyberhaven.com
- Resourcecyberhaven.com
Cyberhaven Support Center – Knowledge Base & Case Management
Helpful link from cyberhaven.com
- Resourcecyberhaven.com
Learn About Insider Risk, AI Security & Data Protection
Helpful link from cyberhaven.com
Official links
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