
AI & Data Security Platform unifying DSPM, DLP, Insider Risk & AI Security.
By Tanmay Verma, Founder · Last verified 30 May 2026
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Buy this if you need a unified platform that actually tracks data lineage in the AI era. Legacy DLP tools can't handle fragments and shadow AI—Cyberhaven's agentic AI detection and automated investigations fill that gap. Be ready for a significant investment; pricing is not public.
Compare with: Cyberhaven vs Todyl, Cyberhaven vs Conveyor, Cyberhaven vs Coalition
Last verified: May 2026
Cyberhaven is a strong contender for enterprises drowning in data sprawl and struggling with legacy DLP false positives. Its standout feature is end-to-end data lineage with context-aware AI classification, which claims to eliminate the 90%+ false positives typical of older tools. For organizations using generative AI, the shadow AI discovery and prevention capabilities are critical—most DLP tools have no concept of AI tools as exfiltration vectors. The Linea AI agents (Detection and Analyst) are real differentiators, automating both real-time coaching and deep investigation, which can dramatically reduce SecOps workload. However, the platform is not for small businesses—there's no pricing on the site, and the feature set suggests a premium enterprise product. If you already have a mature SIEM and SOAR stack, the automated investigation feature might overlap, but Cyberhaven's data lineage is unique. One caveat: the 'policyless protection' may raise concerns for teams that require strict rule-based compliance. For buyers comparing to Microsoft Purview or Netskope, Cyberhaven offers a more AI-centric approach but lacks the breadth of integration count (mostly SaaS, cloud, and endpoints). Overall, it's a solid choice for CISO's betting on AI-driven data security.
Skip Cyberhaven if Skip Cyberhaven if you are a small business with no dedicated security team or need a free or low-cost DLP tool.
How likely is Cyberhaven to still be operational in 12 months? Based on 6 signals including funding, development activity, and platform risk.
Cyberhaven is an AI and data security platform that unifies Data Security Posture Management (DSPM), Data Loss Prevention (DLP), Insider Risk Management (IRM), and AI Security into one solution. It protects data wherever it lives and moves across endpoints, cloud, on-premises, SaaS, and AI tools. The platform is designed for enterprises struggling with data sprawl, undetected leaks, insider threats, and shadow AI risks. Key features include end-to-end data lineage with context-aware AI classification to eliminate false positives and false negatives. The Linea AI Detection Agent automatically detects risky behavior and provides in-the-moment coaching. The Linea AI Analyst Agent automates deep investigations, analyzing screen activity, history, and data lineage to deliver concise reports. Cyberhaven also offers policyless protection using agentic AI to automatically detect and block data exfiltration. Additionally, Cyberhaven provides visibility into shadow AI usage, assessing AI risk posture and preventing data leaks to AI tools without blocking teams. It helps organizations discover and classify data across systems, trace data movements, and stay compliant. The platform emphasizes ease of deployment, fast tuning, and intelligent automation. Positioned against legacy DLP tools that are operationally complex and generate high false positives, Cyberhaven's AI-native approach claims to reduce false positives by over 90% and catch fragments and snippets that evade traditional file-based controls.
Tell us what you want to build — we'll match the AI tools that fit your goal, budget & existing stack.
Concrete scenarios for the personas Cyberhaven actually fits — and what changes day-one when you adopt it.
You need to prevent sensitive financial data from leaking to ChatGPT and Copilot while allowing teams to use AI tools.
Outcome: Deploy Cyberhaven agent on endpoints, configure AI Security policies to block PII, and gain real-time lineage of data flows into GenAI tools, with automated coaching for non-compliant actions.
You want to detect insider threats moving PHI to removable storage or email.
Outcome: Enable IRM with data and behavior signals to identify risky patterns, receive alerts with context, and automate incident response via Torq integration.
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.
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
For each published Cyberhaven tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Enterprise
Contact for pricing
Ideal for
Large enterprises in regulated industries with dedicated security teams needing full DSPM, DLP, IRM, and AI security coverage.
What this tier adds
Only tier available; includes full platform with dedicated support and real-time data lineage.
The company stage and team size where Cyberhaven's pricing actually pencils out — and where peers do it cheaper.
Cyberhaven positions itself as an enterprise platform with no public pricing. For organizations under 500 employees, simpler alternatives like Satori or legacy DLP solutions may be more cost-effective. For large enterprises in regulated industries, Cyberhaven's unified approach can reduce total cost of ownership compared to separate DSPM, DLP, and IRM tools.
How long it actually takes to get something useful out of Cyberhaven — broken out by persona, not the marketing-page minute.
For a CISO: Initial deployment (agent rollout, cloud integrations, policy tuning) typically takes 2–4 weeks with Cyberhaven's onboarding services. For a security analyst: Once agents are deployed and policies are in place, value (alerts, lineage) appears within days.
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Pricing, brand, ownership, or deprecation changes worth knowing before you commit. Most-recent first.
Common stack mates teams adopt alongside Cyberhaven, with the specific reason each pairing earns its keep.
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