Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Data Security Posture Management (DSPM) is emerging as a must-have solution for organizations dealing with sprawling hybrid and cloud environments. This blog explores what DSPM is, how it differs from other security approaches, why shadow data is a growing threat, and how Netwrix delivers proactive visibility, risk context, and integrated compliance features to strengthen your data security posture.

Enterprise data has become nomadic. What once lived safely behind corporate firewalls now travels across dozens of cloud applications, gets copied into collaborative documents, flows through AI tools, and transforms as employees work from coffee shops, home offices, and airport lounges.

Back to Table of Contents Data Loss Prevention (DLP) plays a crucial role in protecting information such as personal, financial, and confidential business data from accidental exposure, malicious attacks, or insider threats. As businesses increasingly rely on cloud services and remote workforces, implementing effective DLP is essential to safeguard sensitive data, comply with regulatory requirements, and reduce financial and reputational risks.

The debate over data sovereignty spurred by the U.S. CLOUD Act is intensifying. On June 10, 2025, France’s Senate held a hearing on the role of procurement in data sovereignty, where Anton Carniaux, Director of Public and Legal Affairs at Microsoft France, testified. He stated he could not guarantee that data from French citizens would not be shared with U.S. authorities without explicit authorization from French authorities.

Shadow AI refers to the unauthorized or unmonitored use of AI tools (like ChatGPT, Copilot, Claude, and Gemini) by employees in the workplace. It’s now one of the fastest-growing data exfiltration vectors. Employees are pasting source code, customer or patient data, contract terms, and even M&A info into gen AI tools, often without realizing the risk. And many legacy DLP tools are still catching up.

Your organization runs on data. But do you actually know where it goes every day? Between Slack messages, Google Drive shares, AI assistants, and browser uploads, your sensitive data is constantly moving: Every one of these moments is a data exposure risk.