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1/22/2026
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DSPM for the Modern Enterprise: One Unified View of Data Risk Everywhere
Security teams today aren't struggling with a lack of data, they're struggling with a lack of clarity. Sensitive data now lives and moves across endpoints, SaaS applications, cloud infrastructure, and AI systems. Understanding where that data is, how it's used, and when it becomes risky has never been more important — or more difficult.
Cyberhaven Data Security Posture Management (DSPM) was built to be easy, accurate, and comprehensive. It delivers data security posture management without the operational friction that typically comes with "full visibility," and without sacrificing detail. The result is an experience that feels effortless for security analysts, while still providing the depth, context, and granularity required to take confident action.
One Unified View Across the Modern Data Surface
Cyberhaven DSPM connects across endpoints, SaaS, IaaS, PaaS and On-prem environments to provide a single, unified view of data risk. Instead of fragmented tools and partial insights, analysts see sensitive data across the entire lifecycle — data at rest, in motion, in use, and on endpoints — all in one place.
This one-pane-of-glass approach is foundational. It eliminates blind spots created when endpoint data, cloud data, and user activity are analyzed in isolation. For security teams tasked with protecting data in an AI-driven world, unification isn't a nice-to-have, it's essential.
Automated Discovery and Data Lineage That Tells the Full Story
Cyberhaven DSPM continuously performs data discovery across connected data stores while applying both traditional and AI-driven classification for precise labeling that enables swift action. But discovery alone isn't enough. What sets Cyberhaven apart is how that data is correlated into a complete lineage story.
Events from connectors are correlated with endpoint sensors and browser extensions to create a single, end-to-end view of data activity. For example, if a sensitive file is shared from Google Drive to a personal email account, that action is captured, correlated, and presented as part of one lineage — even if the event spans multiple surfaces.
This means analysts no longer have to piece together what happened. The system shows them, clearly and automatically, and allows to create policies to prevent exfiltration.
Managed vs. Unmanaged Devices: Context That Changes Priorities
Lineage in Cyberhaven DSPM goes a step further by indicating whether an event originated from a managed device with a Cyberhaven sensor or from an unmanaged device. That distinction is critical.
Accessing sensitive data from an unmanaged device immediately raises risk and serves as an early warning signal for analysts. Instead of buried metadata, this context is surfaced directly in the investigation workflow, helping teams prioritize what matters most without manual enrichment.
AI Classification That Adds Meaning, Not Noise
Cyberhaven DSPM performs two types of content inspection: traditional pattern-based inspection using regular expressions, and AI classification.
AI classification adds critical context by identifying not just that data is sensitive, but what kind of data it is, such as 'Billing and Invoicing', 'Contracts and Agreements', etc. For each object, more context is provided such as its provenance, whether corporate or personal, location, etc. This richer understanding is applied consistently across endpoints and connectors, closing labeling and context gaps that often exist in other DSPM solutions.
The result is fewer false positives, clearer signals, and more confidence in every decision an analyst makes regarding valuable assets and data.
Explore the future of DSPM with our guide, Next-Gen DSPM: Built for the AI-Driven World.
Flexible Scanning Designed for Real-World Operations
Comprehensive visibility shouldn't come at the cost of control. Cyberhaven DSPM gives teams flexibility in how discovery is configured, allowing them to scan everything, manually select specific data stores or use advanced regular expression patterns to exclude specific or known low-risk content.
Analysts can choose to scan only new and updated data, or include historical data over a defined time period to assess existing exposure. Additional configuration options, such as file size and file types, etc help reduce noise and focus analysis where it matters most.
Discovery results are presented in intuitive views like the Explorer, which offers a graphical breakdown of data types, sensitivity, provenance, and locations across all connected environments.
Granular Context That Enables Action
Every object surfaced in Cyberhaven DSPM includes rich, actionable context: AI-classified data type, sensitivity, provenance, precise location, and the specific data store or owner. This level of granularity allows security teams to create highly targeted filters and policies based on multiple factors — not just a single label.
Instead of reacting to alerts, analysts can proactively define what risky data looks like in their environment and take action with confidence.
Audit-Ready Visibility, Paired with Real-Time Enforcement
Cyberhaven DSPM provides audit-ready visibility into data, supporting compliance and governance requirements. When paired with Cyberhaven DLP, that visibility extends into real-time policy enforcement across endpoints, cloud and on-prem environments.
Together, they deliver a unified data security approach that combines visibility and remediation not as separate tools, but as part of a cohesive system.
Comprehensive Data Security, Made Effortless
Cyberhaven DSPM was designed with a simple goal: give security analysts everything they need to understand and protect sensitive data, without adding complexity to their workflows.
By unifying visibility across environments, enriching data with deep context, and presenting insights in a clear, actionable way, Cyberhaven DSPM delivers comprehensive data security posture management that feels effortless, even in the most complex environments.
Learn more about how Cyberhaven discovers and classifies your data, detects vulnerabilities as it flows across environments, then secures it automatically.

