Data Loss Prevention for the Agentic Enterprise
Cyberhaven’s data loss prevention (DLP) software traces the full lifecycle of your data, adapting protection to changing context for every sensitive file, from creation through every app, device, and destination, across both human and agentic workflows. Stop data loss with confidence, precision, and fewer false positives.
Why legacy DLP falls short
Legacy DLP Was Built for the Way Work Used to Happen
Traditional data security tools were built for a time when only humans acted on data. Legacy DLP inspects content, insider threat tools, watch user behavior, and neither fits workflows that span humans and agents. The result is false alarms, missed sensitive data, and blocked legitimate work.
Content Inspection Misses Context
Legacy DLP inspects files at a single point, with little visibility into how data moves between apps, who accessed it first, or its provenance. Many common file types often carry no recognizable pattern and can pass through DLP filters undetected.
Alert Noise Slows Analysts and Users
Broad pattern matching generates frequent false positives. Analysts must piece together context from scattered consoles instead of investigating threats, and users lose time when legitimate work gets blocked. Some teams respond by leaving prevention controls off, creating new risk.
AI Agents Turn Gaps Into Entry Points
Sensitive files can pass through many cloud apps and generative and agentic AI tools before reaching a risky destination. Agents act on data at machine speed, so coverage gaps become paths to data loss faster than teams can respond.
Results Security Teams See With Cyberhaven DLP
Reduction in false positives
Faster incident investigation
Fewer incidents with user coaching
How it works
How Cyberhaven Data Loss Prevention Works
Cyberhaven DLP combines content analysis with Data Lineage to identify what data matters, then protects it across email, cloud, USB, web, and generative and agentic AI tools. Three capabilities take teams from discovery to investigation in a single console.
Identify Sensitive Data by Lineage and Content
Cyberhaven combines content analysis with Data Lineage, which records where data originated, where it has been, and who handled it. Context separates real risk from routine work across human and agentic workflows, reducing false positive rates.
Lineage protects files content inspection alone may miss (i.e. source code, product designs, recorded meetings, and business plans) even after files are encrypted or transformed by AI.
Enforce One Policy in Real Time
A single lineage-powered policy replaces dozens of brittle content rules. Define it in a visual editor and test against historical data to see results before policies go live.
Real-time controls block, warn, or redact sensitive data across email, cloud, USB, web, and AI tools. Users see why an action is restricted and can override it with a business justification.
Investigate Incidents in Seconds
Full incident timelines show every step a piece of data took before an attempted exfiltration, including who handled it. Pre-built analyst workflows and AI analyst agents turn multi-step investigations into natural-language queries through Claude Code, Codex, or any Model Context Protocol (MCP) compatible client.
Data Security for the Agentic Enterprise
Cyberhaven Flow traces the full lifecycle of data and adapts protection to changing context
The Power of Data Lineage
Cyberhaven pioneered Data Lineage to map data from its origin through every location it reaches. It captures every move, copy, edit, and share, creating a complete map of how sensitive information flows across your enterprise. Lineage exposes hidden data paths, gives classification real context, and lets one policy replace dozens of brittle content rules.
Key capabilities
The DLP Software Features Security Teams Need
Lineage-Powered Policies
Define policies in a visual editor with built-in Boolean logic and autocomplete drawn from your historical applications, URLs, devices, and user groups. Convert any graph query to a policy in one click, and test it against historical data before it reaches production.
Protection Beyond Content Inspection
Identify and protect client data, source code, product designs, business plans, recorded meetings, employee HR data, and unreleased marketing. Cyberhaven tracks what type of data was encrypted or compressed, so protection continues after the content can no longer be scanned.
Real-Time Exfiltration Control
Block exfiltration of sensitive data, educate users on policy, or allow an override with justification. Controls apply across email, cloud, USB, and generative and agentic AI channels.
Incident Timelines and Analyst Workflows
Trace every step and action leading to an incident in one view, including who handled the data and how it moved. Pre-built workflows and AI analyst agents shorten investigations, and optional screenshot capture records the user's screen in the seconds before an incident. Screenshots are stored in your cloud.
Built-In Content Controls
Dozens of built-in policy templates cover common use cases and industry requirements. Content identifiers detect personal, payment, and health data patterns, and custom RegEx covers the rest. Optical character recognition (OCR) reads text in images and PDFs, and match highlighting shows what triggered a policy.
Administration and Reporting
Integrate with on-premises and cloud directory services to build policies by user group and department. Assign built-in or custom roles through role-based access control, and report through built-in dashboards or a customizable reporting engine. Incidents flow into security information and event management (SIEM) tools such as Splunk, and into any third-party security tool through an API.
Our customers
Why Security Teams Choose Cyberhaven for DLP
“I would describe Cyberhaven as a modern DLP solution. It’s about understanding where data started, where it ended, and the actions taken in between.”
“One of the many things I love about Cyberhaven is the ability to track the lineage and bring that whole history. It’s been life saving on many occasions.”
Frequently Asked Questions
How does Cyberhaven reduce DLP false positives and alert fatigue?
Cyberhaven combines content analysis with Data Lineage, which records where data originated, where it has been, and who handled it. That context separates genuine risk from routine work, so analysts see fewer alerts that require no action. Motorola Mobility reported 90% fewer false positives. Incident timelines then show every step leading to an alert in one view, which reduces the time analysts spend assembling context from scattered consoles.
Is Cyberhaven considered an endpoint DLP?
Cyberhaven DLP is endpoint-native, which places controls where people and AI agents act on data. It pairs that endpoint presence with Data Lineage to enforce policy across email, cloud, USB, web, and generative and agentic AI tools, so protection follows data beyond the device.
How does Cyberhaven DLP protect sensitive information, including PII and PHI?
Cyberhaven DLP combines content analysis with Data Lineage to identify and protect sensitive data, including personally identifiable information (PII) and protected health information (PHI). Built-in content identifiers detect personal, payment, and health data patterns, custom RegEx covers other formats, and OCR reads text in images and PDFs. Lineage adds the origin and handling history that content inspection lacks, and real-time controls block, warn, or redact before data leaves. Incident timelines document who handled the data at every step.
Is Cyberhaven DLP part of a larger data security platform?
Yes. Cyberhaven DLP is one capability of the Cyberhaven Flow platform, which includes data security posture management (DSPM), insider risk management (IRM), and AI Security. All four capabilities run on Data Lineage, so context carries across discovery, enforcement, and investigation without switching tools. Cyberhaven delivers this platform as Data Security for the Agentic Enterprise, protecting both human and agentic workflows.
What Makes Cyberhaven an AI-powered DLP solution?
Linea AI, Cyberhaven’s AI engine, powers the DLP. It runs on the Large Lineage Model (LLiM), built on Cyberhaven’s graph of corporate workflows, to understand the meaning of data, people, and applications without relying on rules or dictionaries. Linea AI classifies data, prioritizes the incidents with the greatest business risk, explains user intent in plain language, and recommends a response. AI analyst agents extend this to natural-language investigations through any MCP-compatible client.
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