Why Data Access Is Your Weakest Link—And How DSPM Fixes It

Overprivileged data access significantly increases risks because if credentials are stolen or compromised (which accounts for about 74% of data breaches), the attacker gains access to sensitive data. Failing to meet these standards can result in fines as high as 4% of global revenue or $22 million, as seen under GDPR

Organizations are witnessing a 30-fold increase in data flowing into GenAI applications, often including sensitive personal records, passwords, and regulated information. GenAI models can inadvertently expose confidential internal information, and they present new compliance challenges with emerging AI-specific regulations.

Traditional, manual data access methods are inadequate. They don't scale for today's large, diverse data environments, leading to fragmented systems without unified visibility or rapid investigation of access rights. Security teams thus struggle with manual reviews, hindering innovation. This makes maintaining least-privilege data access across hybrid multi-clouds, SaaS apps, and AI Copilots increasingly difficult.

DSPM enables automated data discovery and classification across various systems, including shadow data. It allows for the automation of policy-based access controls, ensuring users only access data aligned with their business context and helps in dynamically masking sensitive data. Furthermore, DSPM helps ensure data access compliance by continuously mapping entitlements to regulations like GDPR, HIPAA, and PCI DSS.