Cyberhaven review

Cyberhaven is a data security platform built to track how information moves through people’s work and AI workflows. Its central idea is data lineage: follow data from where it started through copying, renaming, sharing, and other changes, rather than treating each file or alert as an isolated event. The platform combines data loss prevention (DLP), insider risk management, and data security posture management (DSPM) with AI security and investigation tools.

That puts Cyberhaven across two related jobs: finding sensitive data and controlling what happens to it as employees or AI tools use it. Its listed capabilities include discovering shadow AI, governing coding agents, protecting data across email, web, cloud, devices, and endpoints, and surfacing exposed data. For investigations, Cyberhaven says it adds context, prioritizes risk, and automates routine analyst work. The distinction matters: lineage and movement controls are not the same as simply cataloging where sensitive data is stored.

Data lineage is the clearest reason to shortlist Cyberhaven. In a Reddit discussion about DLP vendors, one user said its lineage tracking matched their needs; another, who reported using it for about a year, said investigations were easier because they could see the chain of activity instead of piecing together fragments. Those are user reports, not a guarantee that every path will retain lineage, but they point to the product’s most distinct value.

That context can help teams understand what happened after a file was copied, renamed, or shared, not just that a sensitive-data rule fired. Cyberhaven also spans endpoint, cloud, web, and AI workflows in its stated feature set, so teams evaluating several separate controls may want to assess how much of their environment one deployment can cover.

Before buying, make vendors demonstrate your real scenarios: copied content, renamed files, browser uploads, and data pasted into AI tools. One Reddit commenter specifically suggested testing those transformations in a proof of concept. For agent workflows, include the destination and access permissions in the test; detecting data movement alone does not fix an agent’s excessive access.

Pricing is a major unknown. The available pricing information lists a custom-quote Enterprise plan, with costs based on endpoint users and/or usage. Monthly and annual prices, billing terms, and overage rates are not published. Onboarding, technical account management, and AI modules are scoped by quote; overages may be prorated under the order form. There is no listed free plan, and trial terms are not published. You will need a quote to compare total cost, and the published pricing information has low confidence.

Coverage of AI workflows needs a proof of concept, especially for agents that do not use a managed browser. One Reddit commenter reported that Cyberhaven’s endpoint lineage did not cover an agent running headless through service accounts, and said their team had to gate drive APIs themselves. Another said browser visibility depended on using a browser with Cyberhaven’s extension that the organization could control. These are individual reports, not confirmed product-wide limits, but they identify important test cases. Ask Cyberhaven to demonstrate your specific agent, API, and browser paths before treating AI coverage as solved.

Cyberhaven does not publish a price you can compare against other vendors. The available pricing information, checked November 7, 2026, lists one Enterprise option with a custom quote; monthly and annual rates and billing terms are not published. The source is low confidence, so confirm every term directly with Cyberhaven before budgeting.

There is no published tier ladder or price jump to calculate. The quote is based on endpoint users and/or usage, and the company scopes onboarding, technical account management, and AI modules by quote. Prorated overage fees may apply under the order form, but the rates are not published.

Ask for a written breakdown covering the endpoint or usage metric, AI modules, onboarding, account management, overage rates, and contract billing schedule. Without those details, two quotes may not cover the same scope. There is no listed free plan or trial information in the published pricing data, so don’t assume either is available.

Treat a move to Cyberhaven as a scoped security rollout, not a simple license swap. The pricing information says onboarding is quoted separately and endpoint needs affect the quote. Before signing, map the endpoints, cloud services, AI tools, and workflows you need covered, then ask Cyberhaven to specify what onboarding includes and what your team must configure. The published material does not describe migration tools or timelines.

If you leave, confirm what data and investigation records you can export, in what format, and how long access lasts after termination. Export and retention terms are not published on the vendor's site, so get them in writing before deployment; data lineage and investigation context may be important to preserve.

We weren’t given Reddit posts or comments to verify why customers leave Cyberhaven, so we won’t attribute complaints to users. The practical reasons to scrutinize are the custom, unpublished cost; scope of add-ons; and whether your AI workflows are supported. The product brief flags headless AI agents as a poor fit. Test the workflows you actually run before switching.