HomeSolutions

AI-Native Data Loss Prevention That Works

Deploy modern DLP across your organization without slowing users down, creating friction with IT, or waiting months to enforce the policies that protect your data.

Why DLP Is Increasingly Difficult to Deploy and Enforce

DLP Is in the Stack but Never Reaches Production

The tool is deployed and up for renewal, yet blocking was never fully enabled. Policies take weeks to reach production, coverage has gaps, and the organization carries roughly the same risk it did before the purchase.

Security Agents Create Friction That Breaks DLP

Heavy endpoint agents slow down machines and erode enforcement. Teams respond with idle-only scanning, process exclusions, and narrower policies, which ease the load but quietly shrink coverage below expectations.

Slow Deployment Leaves Data Unwatched

Teams can spend months or even a year evaluating, deploying, and tuning a DLP platform before meaningful enforcement begins. Every quarter of delay is another quarter of data leaving without control.

How Protection Pays Off

0

Faster investigations

0

Fewer false positives

0

Less risky behavior

0

Combined value of Cyberhaven's publicly traded customers

How to Modernize DLP with Cyberhaven

Cyberhaven uses Data Lineage to enforce data loss prevention (DLP) policies with full context, so you can deploy one lightweight agent across the enterprise in days and protect data on every exit path.

Key features

The Capabilities You Need to Protect Your Most Sensitive Data

Run DLP without the friction of legacy platforms. Cyberhaven combines AI classification with data lineage, giving policies the context to block accurately. A lightweight sensor, fast policy rollout, and real-time employee coaching help security teams get DLP into production and keep it there.

See Cyberhaven’s full capabilities→

Stop IP from Leaving Through Any Exit Path

Block and coach on sensitive data movement across USB, printers, personal email, personal cloud, browsers, chat applications, and other common exfiltration paths.

One lightweight agent provides coverage across the endpoint and the applications users rely on, so DLP does not stop at email and web traffic.

Reduce Endpoint Disruption

Deploy a lightweight sensor that stays out of the way of employees and IT.

Low CPU and memory usage means security teams never have to choose between enforcement coverage and endpoint performance.

Enforce DLP Across the Fleet

Turn on blocking across the organization, including macOS and Linux.

Get full Mac coverage with enforcement, while extending protection to VDI and Linux environments where needed.

AI-Powered DLP for Smarter Data Classification

Classify sensitive data without manual labeling or writing complex regex.

AI reads what the data contains, and lineage tracks where it originated and how it moved, so data stays identified as it’s renamed, copied, and shared. Teams see risk earlier and move to enforcement faster.

Deploy and Update Policies Without Code

Build, simulate, and deploy DLP policies without code or vendor professional services.

Historical simulation shows the potential impact before enforcement, allowing teams to understand what a policy will affect and make changes before turning it on.

Coach Employees at the Moment of Risk

Give users real-time feedback when they attempt a risky action and provide a clear exception path when appropriate.

In-workflow coaching changes behavior at the point where risk occurs, helping employees understand why an action is restricted rather than simply presenting another security block.

“A lot of folks are hesitant around the DLP category, but modern DLP, Cyberhaven, is a night and day difference. It really works.”
David Seidman
Head of Platform Security, Plaid

Data Security for the Agentic Enterprise

Cyberhaven Flow traces the full lifecycle of data and adapts protection to changing context

Agentic
Data Security

Protect AI-driven Workflows
Agentic DLP

Agentic Posture

Human
Data Security

Protect Human-driven Workflows
Human DLP

Insider Risk (IRM)

Data Security
Posture Management

Protect Data with Visibility,

Posture, and Remediation

‍across SaaS, PaaS, IaaS, and AI

Advance Your DLP with Cyberhaven

Put DLP into production faster, enforce policies across the fleet, and protect sensitive data without slowing the people who need to use it.

Frequently Asked Questions

How does Cyberhaven compare to legacy DLP?

Cyberhaven is designed to reduce the operational friction that can keep legacy DLP from reaching full enforcement. The approach combines a lightweight endpoint agent, broad endpoint coverage, data classification without labels or regex, policy simulation, and real-time enforcement and coaching.

Modern DLP architecture combines data classification, endpoint enforcement, contextual understanding of data movement, and policy controls across the ways sensitive information can leave the organization.

A data lineage based DLP approach can provide additional context by connecting sensitive data to its origin, movement, and destination, helping security teams investigate and respond to risky activity.

Cyberhaven addresses several common operational challenges, including heavy endpoint agents, incomplete Mac coverage, slow policy deployment, complex classification requirements, and DLP policies that never reach enforcement.

Teams can deploy across thousands of endpoints in days, build and simulate policies without code, and turn on blocking across the fleet.

Cyberhaven provides context around sensitive data and data movement to help security teams distinguish risky activity from normal work. AI-powered classification and policy simulation can help teams understand what policies will affect before enforcement, reducing unnecessary alerts and helping teams focus on meaningful risk.

Cyberhaven can enforce DLP across common data exfiltration channels, including USB, printing, personal email, personal cloud, web uploads, and chat applications.

This allows organizations to apply controls across the ways sensitive data leaves the environment rather than limiting protection to a small set of communication channels.

Cyberhaven can deploy at scale in a matter of days, with enforcement occurring within weeks instead of quarters. A lightweight agent can reach thousands of endpoints, while policies can be built, simulated, and deployed without code.

Cyberhaven is designed for organizations looking to modernize DLP without the operational friction associated with legacy platforms. Key considerations when evaluating enterprise DLP software include endpoint performance, coverage across operating systems and exit paths, data classification, policy deployment, enforcement, and the ability to understand the context behind risky data movement.