Data Security Posture Management for the Agentic Enterprise

Cyberhaven data security posture management (DSPM) solution discovers and classifies sensitive data across SaaS, cloud, on-premises systems, and endpoints, then traces how it moves and acts on risk in real time.

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Legacy DSPM was built for a different era

Why Traditional DSPM Falls Short

Data is created, copied, transformed, and shared across SaaS applications, endpoints, on-premises systems, cloud service providers (CSPs), and generative and agentic AI tools. Traditional DSPM shows where sensitive data sits, but it lacks the context to classify it accurately and the controls to protect it.

Discovery Without Context Creates Noise

Traditional DSPM tools also classify data by content only. Without knowing where a file came from, tools can struggle to separate sensitive data from public or third-party content that looks similar, which adds noise and makes the data that matters harder to find.

Scan-Based Visibility Goes Stale

Traditional tools record where data sat at the last scan, with scan intervals documented as long as 90 days. Once data is copied, transformed, or moved, the scan no longer reflects reality, so shadow copies and new exposure stay hidden between scans.

Legacy DSPM Lacks Enforcement

Traditional DSPM produces findings that stop at the dashboard, with no way to block or enforce as data moves from the cloud to the endpoint. AI agents act on data at machine speed, so findings that wait for manual follow-up can become data loss fast.

Results Security Teams See With Cyberhaven

Reduction in false positives

Reduction in risky behavior

How it works

One Platform From Discovery to Enforcement

Cyberhaven DSPM combines AI classification with Data Lineage to show which data matters, who can reach it, and where it goes. Four outcomes take teams from discovery to action in a single console.

Discover Your Data Estate With AI Classification

Built-in connectors and endpoint scanning find sensitive data across SaaS, cloud, on-premises systems, and unmanaged devices. Linea AI classifies it at rest and in motion without manual tuning, and provenance tags each item as Corporate, Personal, or Public so internal IP separates from external noise.

Minimize Data Exposure

Linea AI classifies sensitive data at rest and in motion without manual tuning, combining regular expressions, dictionaries, exact data matching, and optical character recognition with AI and Data Lineage. Provenance tags each item as Corporate, Personal, or Public, so internal IP separates from external noise.

Reduce Risk From ROT Data

Redundant, obsolete, and trivial (ROT) data widens exposure without adding value. Data Lineage records every copy, edit, and share, even when file names change, so redundant copies and hidden data paths come to light. Provenance separates business-critical data from public noise.

Strengthen Regulatory Compliance

Real-time policies monitor, alert, and block when sensitive data starts to move, including from cloud repositories to endpoints and into generative and agentic AI tools. Because DSPM is natively unified with DLP, IRM, and AI Security, a posture finding becomes an enforced control, and lineage keeps a record of where regulated data has traveled.

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 IRM

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

Flow Platform

AI-native unified experience powered by data lineage and agentic AI:
Configuration Agents, Classification Agents, Detection Agents, and Analyst Agents

The Power of Data Lineage

Cyberhaven pioneered Data Lineage to trace data from its origin through every location it reaches, at rest, in use, and in motion. Every copy, edit, and share is recorded, even when file names change. Lineage exposes shadow copies and hidden data paths, shows whether data is internal IP or external noise, and gives classification the context to rank real risk.

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Key capabilities

The DSPM Solution Features Security Teams Need

Built-In Connectors Across Your Data Estate

Onboard SaaS, IaaS, PaaS, and on-premises repositories, including Microsoft 365, Google Drive, Box, Salesforce, AWS S3, Snowflake, and Databricks. A lightweight agent covers Windows, macOS, and Linux endpoints, alongside agentless functionality.

Endpoint Data-at-Rest Scanning

Inspect files stored on user devices to complement cloud discovery. See every instance of sensitive data accessed from unmanaged devices, including the user behind it.

See all integrations→

AI Data Classification

Linea AI classifies sensitive data at rest and in motion without manual tuning. It adds AI and Data Lineage to proven methods such as regular expressions, dictionaries, exact data matching, and optical character recognition, which improves speed and accuracy.

Data Provenance

Tag data as Corporate, Personal, or Public so internal IP separates from external noise. The same document carries different risk depending on where it came from and who can reach it.

Custom Classification

Define how your data is classified in natural language to address the unique challenges of your business and industry. Linea AI applies those definitions across your environment.

Microsoft Purview Integration

Read Microsoft Information Protection (MIP) labels and third-party labels automatically, and unify different classification schemas under one system of record.

Data Lineage

Reveal where data originated and how it has changed over time, at rest, in use, and in motion. Lineage identifies risk more accurately than classification alone and keeps visibility current between scans.

Identity and Access Context

Link datasets to human identities, service accounts, and AI agents. Flag repositories with excessive permissions and see which sensitive data is open to large groups or contractors.

Declarative Policies

Create policies based on a deeper understanding of data risk. One policy protects data at rest and in motion, and policies monitor, alert, and block when sensitive data moves.

AI Security

Enable safe generative and agentic AI adoption by classifying sensitive data automatically, tracking its movement and AI-generated derivatives, and enforcing policies at every AI interaction.

Our customers

Why Security Teams Choose Cyberhaven DSPM

“I’m confident in saying that Cyberhaven is probably the only vendor that really brings DLP and DSPM together to make a whole solution very compelling and very powerful.”

Raghu Valipireddy

CISO, Axos Bank

See why Cyberhaven is proven with innovators→

Our customers

AI Changed Work. We Protect It.

Cyberhaven DSPM is one capability of Data Security for the Agentic Enterprise. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so security teams can find what matters, close exposure, and act on risk before it becomes loss.

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Frequently Asked Questions

What features should a DSPM solution include?

A data security posture management (DSPM) platform should cover four jobs:

Connect: Connectors for SaaS, IaaS, PaaS, and on-premises repositories, plus unmanaged endpoints.
Classify: AI classification of data at rest and in motion that reads existing Microsoft Information Protection (MIP) labels.
Assess: Lineage and identity context across users, service accounts, and AI agents to expose excessive permissions and shadow copies.
Alert and act: Real-time alerts and blocks for risky data movement, including into generative and agentic AI tools.

Cyberhaven DSPM covers all four.

How does Cyberhaven DSPM combine data discovery, classification, and enforcement in one platform?

Cyberhaven DSPM pairs AI classification with Data Lineage to show which data matters, who can reach it, and where it goes. Linea AI classifies sensitive data at rest and in motion, and provenance tags each item as Corporate, Personal, or Public. Lineage and identity context then rank the real risk, and real-time policies monitor, alert, and block when sensitive data starts to move. All four steps run in one console, so a finding becomes an action without tool-switching.

Does Cyberhaven offer unified DSPM and data loss prevention (DLP) for enterprise security teams?

Yes. Cyberhaven DSPM is natively unified with DLP, insider risk management (IRM), and AI Security on one platform. One policy protects data at rest and in motion, so a posture finding, such as a repository open to contractors, becomes an enforced control without a handoff to another tool.

How does Cyberhaven DSPM use LLM-powered classification to reduce false positives?

Linea AI classifies sensitive data at rest and in motion without manual tuning. It adds AI and Data Lineage to regular expressions, dictionaries, exact data matching, and optical character recognition (OCR), which improves speed and accuracy. Provenance tags each item as Corporate, Personal, or Public, so internal IP separates from the external noise that traditional DSPM labels as sensitive. Security teams using Cyberhaven see a 90% reduction in false positives.

Can Cyberhaven DSPM automate data discovery across AWS and SaaS platforms as we expand coverage?

Yes. Built-in connectors onboard SaaS, IaaS, PaaS, and on-premises repositories, including Microsoft 365, Google Drive, Box, Salesforce, AWS S3, Snowflake, and Databricks. A lightweight agent covers Windows, macOS, and Linux endpoints, alongside agentless functionality. Linea AI classifies what the connectors discover without manual tuning, and lineage updates as data moves, so visibility stays current between scans.

How can Cyberhaven DSPM help us evaluate and reduce data risks introduced by LLMs?

Cyberhaven DSPM classifies sensitive data as it enters generative and agentic AI tools, tracks AI-generated derivatives, and enforces policy at every AI interaction. Identity context links datasets to human users, service accounts, and AI agents, so teams can see which sensitive data an agent can reach and flag excessive permissions. Real-time policies monitor, alert, and block when sensitive data starts to move into AI tools.