What is the difference between DLP and DSPM?

DLP attempts to catch sensitive data at the last minute as it leaves the environment, creating business friction. DSPM takes a proactive approach by providing visibility into what data exists across all enterprise systems, enabling organizations to protect data without interrupting business workflows.

How can security leaders build a business case for data security investments?

According to Segev, CISOs can demonstrate value beyond security by identifying cost savings from cleaning up redundant data, accelerating data cataloging initiatives, and enabling proprietary AI product development. Boards increasingly understand that protecting proprietary data is essential to maintaining competitive advantage.

Why DSPM Is Replacing DLP for Modern Data Security

Name: Why DSPM Is Replacing DLP for Modern Data Security
Uploaded: 2026-05-11T18:05:30-04:00
Duration: 10 min 11 s
Description: TL;DR Traditional DLP approaches created business friction and failed to deliver sustainable data security outcomes, leading to widespread frustration among CISOs and security teams. Generative AI adoption has made data security an urgent priority, as ...

Cyera

05/11/2026

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TL;DR

Traditional DLP approaches created business friction and failed to deliver sustainable data security outcomes, leading to widespread frustration among CISOs and security teams.
Generative AI adoption has made data security an urgent priority, as employees can easily expose proprietary data through public LLMs without proper governance controls.
DSPM provides visibility across SaaS, IaaS, PaaS, and on-premise environments, using machine learning to create a unified data asset inventory that security teams can actually manage.
Data security initiatives now offer clear business value beyond security, including cloud cost savings, accelerated data cataloging, and enabling proprietary AI product development.

The Limitations of Traditional DLP Approaches

In this interview with Information Security Media Group, Cyera CEO Yotam Segev explains why traditional Data Loss Prevention (DLP) strategies have fallen short for enterprise security teams. The legacy approach of catching data at the last minute as it leaves the environment created significant friction with business operations and left many CISOs frustrated with implementations that generated more problems than value. Segev argues that this history has left organizations with a sour taste regarding data security initiatives, making the shift to Data Security Posture Management (DSPM) both necessary and timely.

GenAI as the Catalyst for Data Security Urgency

The conversation centers on generative AI as the primary driver making data security an immediate priority. With every employee now able to accelerate workflows using public web-hosted LLMs, organizations face an exponentially more stressful situation around data exposure. Segev emphasizes that while 98% of enterprise data may be acceptable to share externally, identifying and protecting the critical 2% of proprietary information requires automated discovery and classification capabilities that legacy tools cannot provide. Organizations that fail to implement proper data governance programs will find themselves in increasingly difficult positions as AI adoption accelerates across the enterprise.

Chapters

0:00 - Introduction
0:26 - Why DLP Has Failed
1:36 - GenAI as the Catalyst
3:36 - Cyera's DSPM Approach
5:01 - Building the Business Case
7:27 - Customer Results
8:48 - Questions Leaders Should Ask

Key Quotes

0:43 "Many people tried to implement these technologies and did not get the results they wanted, were not able to maintain it over time, and found that they're creating more problems for themselves than they're creating value."
1:44 "I think that why now is first and foremost, Gen AI. And that might be the capital N-O-W for now."
3:13 "And at the heart of that is the ability to differentiate between the data that matters and the data that clutters."
6:20 "So we're no longer going out to do security for security's sake. We can improve our security, but at the same time, get amazing benefits in cost savings by identifying all the junk we have lying around."

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