Cyberhaven
AI-native data security platform for the agentic enterprise, with DSPM, DLP, and IRM.
For enterprises rolling out AI agents and generative AI, Cyberhaven's lineage-based detection is the most credible fix for false positives and AI-driven leaks we've seen. But if you only need basic endpoint DLP, legacy tools like Microsoft Purview are cheaper and simpler. Cyberhaven excels where data is fragmented and moves at machine speed, but its contact-only pricing and enterprise focus put it out of reach for small businesses.
Verified 4d ago · liveness 60/100 · cite: rightaichoice.com/tools/cyberhaven
- Security teams in regulated industries needing audit-ready DLP and DSPM.
- Organizations adopting generative AI and AI agents who need to prevent data leaks.
- 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 a limited security budget or you only need basic endpoint DLP without AI capabilities.
Pricing is not publicly disclosed; you'll need to talk to sales, which can be a barrier for smaller teams.
Cyberhaven's pricing is contact-only and enterprise-focused, so it's best for mid-to-large organizations with complex data security needs. Cheaper alternatives like Microsoft Purview (included in E5) or open-source DLP may suit smaller teams, but they lack the AI-native lineage and agentic detection that Cyberhaven provides.
In short
Cyberhaven — AI-native data security platform for the agentic enterprise, with DSPM, DLP, and IRM. Best for Security teams in regulated industries needing audit-ready DLP and DSPM., Organizations adopting generative AI and AI agents who need to prevent data leaks., Teams frustrated with legacy DLP false positives and complex tuning.. Contact Sales pricing.
What's new in Cyberhaven
Checked 4 days agoAcross the latest 2 updates: 1 feature update and 1 news mention.
Securing Agentic Coding Tools: Cursor and Claude Code
Cyberhaven published guidance on securing agentic coding tools like Cursor and Claude Code that access source code and customer data.
Presenting AI Risks to the Board of Directors
Article on how CISOs can translate AI risk into governance terms for boards facing liability for AI oversight failures.
Viability Score
How well maintained and how widely used is Cyberhaven? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- End-to-end data lineage with context-aware AI classification
- Agentic data security for AI agents (Cursor, Claude Code)
- Shadow AI usage discovery and risk assessment
- Policyless protection with automatic risk detection
- Automated investigation with Linea AI Analyst Agent
- Insider risk management combining data and behavior signals
- Data exfiltration blocking across web, email, removable storage, Bluetooth/AirDrop, desktop apps, and AI
- Real-time user coaching with contextual prompts
- Data discovery and classification across SaaS, cloud, endpoints, and hybrid environments
- Unified DSPM, DLP, and IRM in one platform
- Audit trails for GDPR, HIPAA, CCPA, and PCI DSS compliance
- Guidance for securing agentic coding tools like Cursor and Claude Code
- Visualizations for data flow and access across environments
- Deployment across endpoints, SaaS, PaaS, and IaaS
- Integration with SOAR platforms like Torq for automated incident response
About Cyberhaven
Cyberhaven Flow is an AI-native data security platform built for organizations where AI agents and generative AI have shattered the old file-based perimeter. Instead of guarding whole files, it traces the full lifecycle of data as it's copied, pasted, summarized, and transformed at machine speed. The platform unifies Data Security Posture Management (DSPM), Data Loss Prevention (DLP), and Insider Risk Management (IRM) across endpoints, SaaS, PaaS, and IaaS, so security teams get one view of where sensitive data lives, how it moves, and who can access it. What sets Cyberhaven apart is deep understanding through end-to-end data lineage and context-aware AI classification, which eliminates the false positives that plague legacy DLP tools. Its agentic AI, the Linea AI Detection Agent and AI Analyst Agent, automatically detects risky behavior, launches investigations, and delivers concise reports—cutting investigations by 5x and reducing false positives by 90% compared to legacy tools. It also offers policyless protection: instead of static rules, the platform adapts to changing context and blocks data exfiltration across web, email, removable storage, Bluetooth/AirDrop, desktop apps, and generative AI. For organizations using AI agents like Cursor and Claude Code, Cyberhaven provides agentic data security: it understands agent risk posture, discovers shadow AI usage, and prevents AI-driven leaks without blocking AI adoption. The platform also gives real-time user coaching with contextual prompts, turning risky actions into teachable moments, and offers audit trails for GDPR, HIPAA, CCPA, and PCI DSS compliance. Cyberhaven is designed for regulated industries—finance, healthcare, manufacturing, professional services—that need audit-ready evidence and operational simplicity. Compared to legacy DLP tools that rely on static labels and fail on data fragments, Cyberhaven adapts to the fragmented, dynamic nature of modern data movement, including agentic workflows.
Behind the Verdict
Cyberhaven Flow is a serious response to a problem that legacy DLP tools were never designed for: data that gets copied, pasted, summarized, and transformed by AI agents at machine speed. The core innovation is end-to-end data lineage with context-aware classification. Unlike static-label DLP that chokes on fragments and derivatives, Cyberhaven tracks data as it mutates, which directly attacks the false-positive problem that makes most DLP deployments miserable. The agentic AI layer—Linea AI Detection Agent and Analyst Agent—automates the investigation loop, and the vendor claims a 90% reduction in false positives and 5x faster investigations. Those are strong claims, but the company's focus on agentic coding tools like Cursor and Claude Code (see the August 2026 blog) shows they're keeping pace with the bleeding edge. Strengths: deep lineage, policyless protection that adapts to context, unified DSPM/DLP/IRM, real-time user coaching, and a clear roadmap for securing AI agents. Weaknesses: contact-only pricing, endpoint-agent dependency, and complexity that smaller teams may find heavy. It's not a fit for small businesses or basic endpoint-only DLP needs; for those, look at Microsoft Purview or lightweight tools. But for regulated enterprises already adopting AI agents, Cyberhaven is one of the few platforms that addresses the new data-movement reality.
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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.
Roll out Microsoft 365 Copilot while preventing sensitive financial data from leaking through AI prompts. Deploy Cyberhaven, discover shadow AI usage, and create policies to block data exfiltration to unapproved AI tools. Use the Linea AI Detection Agent to automatically investigate alerts and generate reports for the board.
Outcome: Secure AI adoption without blocking productivity; gain visibility into AI data flows; reduce alert fatigue with context-aware detection.
Developers use Cursor and Claude Code for coding, but you're worried about source code and customer data being exposed. Use Cyberhaven to monitor agentic coding tools, detect when they access sensitive data, and enforce policies that prevent exfiltration. Configure real-time coaching prompts for developers when risky actions are attempted.
Outcome: Prevent AI-driven code and data leaks; maintain developer velocity; provide audit trail for compliance.
An insider threat is suspected: an employee is emailing patient data fragments. Use Cyberhaven to trace the data lineage from EHR to email, see how the data was copied and transformed, and automatically launch an investigation using the AI Analyst Agent. Generate a detailed report showing the data path and user behavior.
Outcome: Accelerate investigations (5x faster); reduce false positives; provide clear evidence for disciplinary action and compliance.
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 2026-08-30
Limitations
- Cyberhaven is an AI-native data security platform that unifies DSPM, DLP, and IRM across endpoints, SaaS, PaaS, and IaaS.
- Its effectiveness relies on endpoint agents and integrations, which may not cover all environments.
- Pricing is not publicly disclosed, likely requiring sales interaction.
as of 2026-08-29
Verification history
We have re-verified Cyberhaven 17 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 17 verification passes.
Free to cite with attribution — this page re-verifies continuously.
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 pricing is contact-only and enterprise-focused, so it's best for mid-to-large organizations with complex data security needs. Cheaper alternatives like Microsoft Purview (included in E5) or open-source DLP may suit smaller teams, but they lack the AI-native lineage and agentic detection that Cyberhaven provides.
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.
Deployment typically takes 1-2 weeks for a pilot, depending on environment complexity and agent rollout. Full production deployment across endpoints and cloud may take 4-6 weeks.
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 Microsoft Purview: Use Cyberhaven's data discovery to map existing sensitive data, then deploy endpoint agents to capture lineage and get context-aware protection.
- →From legacy DLP (Symantec, McAfee): Import existing policy rules or start fresh with Cyberhaven's policyless protection for faster time-to-value.
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
Tutorials & Learning
Official links
Tools that pair well with Cyberhaven
Common stack mates teams adopt alongside Cyberhaven, with the specific reason each pairing earns its keep.
Alternatives to Cyberhaven
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Securiti
Unified data security, privacy, and AI governance platform for hybrid multicloud enterprises
Nightfall AI
AI-native DLP platform to control data across AI agents, MCP servers, endpoints, and SaaS.
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