Cyberhaven DSPM: Uniting DSPM & DLP to Secure Data in the AI Era

Enterprise security programs were built for a time when data lived in a small number of predictable locations. That model no longer holds. Today, data is constantly created, copied, transformed, and shared across cloud applications, endpoints, on-prem systems, and generative AI tools, often without clear visibility.

Protecting data in the AI era requires three pillars: holistic visibility across the full data lifecycle, a deep understanding of data with context (e.g. what it is, who owns it, and how it's used), and security that's easy to deploy and operate. Without those foundations, even advanced tools become shelfware and organizations open themselves up to constant data risks.

With those principles in mind, Cyberhaven is excited to announce the general availability of its Data Security Posture Management (DSPM) solution, built as a native, fully integrated part of the Cyberhaven AI & Data Security Platform.

Five Ways Cyberhaven DSPM Transforms Data Security For Enterprises

1. Discover and Assess Data Everywhere

Effective data security starts with continuous discovery. Cyberhaven discovers and classifies data at rest, in motion, and in use across endpoints, cloud, and on-prem, providing a unified view of where sensitive data lives.

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In addition to traditional inspection techniques, Cyberhaven uses AI-based understanding to identify what data actually represents: is this a highly confidential document created by the CFO or non-sensitive document sourced from a public repository? Security teams can also create custom classifiers using natural language, allowing classification to reflect real business context. This includes identifying data unique to the business such as employee identifiers.

2. Minimize Data Exposure

Understanding data is only the first step. Reducing unnecessary exposure across the enterprise is where risk meaningfully declines.

Cyberhaven brings sensitive data into a single Explorer view, enabling teams to pivot by data type, provenance, ownership, and sensitivity. AI-generated insights describe what each data point contains and why it matters, helping analysts assess risk quickly without opening files or conducting other, time-wasting tasks.

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Cyberhaven also highlights data duplication across environments, making it easier to eliminate redundant copies and reduce the overall data attack surface.

3. Enable Secure AI Adoption

Generative AI adoption has accelerated faster than most security programs can adapt. Employees regularly share corporate data with AI tools, often without clear policies or oversight.

Cyberhaven provides visibility into which AI services are in use, what data is being shared, and the associated risk.

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This visibility is enriched with Cyberhaven's AI Risk IQ, which profiles AI services based on security, data handling, and compliance factors.

When teams investigate AI-related events, they see full data lineage, from origin through transformation to destination, enabling informed decisions that support AI innovation without compromising sensitive data.

4. Reduce Insider Risk

A significant portion of data loss originates inside the organization. Insider risk, whether accidental or intentional, requires deep visibility into real user workflows.

Cyberhaven acts as a flight recorder for data on endpoints, capturing how data is accessed, modified, and moved across browsers, collaboration tools, developer environments, AI-native applications, and physical channels.

Each event is captured with full context, allowing security teams to quickly understand what happened and why. Optional forensic evidence, including file copies and screen recordings, accelerates investigations when deeper analysis is required.

5. Stop Data Loss with Confidence

Cyberhaven enables data loss prevention without guesswork or disruption.

Before enforcement, teams can test policies against historical activity to understand impact and tune them appropriately. Once active, policies can monitor, educate, warn, or block, with clear feedback for users and AI-driven prioritization for analysts.

By distinguishing meaningful risk from noise, Cyberhaven dramatically reduces false positives and alert noise and integrates seamlessly into existing security workflows.

A Unified Platform for Data Security in the AI Era

Unlike standalone DSPM tools, Cyberhaven DSPM is natively unified with DLP, insider risk management, and AI security. Security teams no longer need to switch between tools or accept partial visibility.

As data moves across the enterprise ecosystem and beyond, Cyberhaven delivers end-to-end protection with holistic visibility, deep contextual understanding, and an effortless experience.

Join us for our live webinar Uniting DSPM & DLP to Secure Data in the AI Era, or watch it on-demand anytime. And see how Cyberhaven is reimagining data security with a unified platform built for the AI era.