DSPM extends data compliance to dark data

“DSPM is an independent security layer, agnostic to infrastructure, that protects sensitive data and ensures consistent controls no matter where data travels,” says Yoav Regev, co-founder and CEO of Sentra. “It assesses exposure risks, identifies who has access to company data, classifies how data is used, ensures compliance with regulatory requirements like GDPR, PCI-DSS, and HIPAA, and continuously monitors data for emerging threats.”

Virtually all businesses must consider data compliance as part of their proactive data governance initiatives, which focus on business benefits and risks when establishing data-driven organizations. Data discovery used to be tedious, requiring organizations to use multiple tools to scan different data sources. Newer innovations such as machine learning prediction models, integration to multiple clouds and SaaS, and automation baked into DSPM platforms greatly reduce the complexity and improve the ability to find complex patterns and other data anomalies.

“DSPM uses machine learning and other technologies to discover, classify, and monitor an organization’s most sensitive data, then details where it lives, who has access, and how it’s used,” says Akiba Saeedi, VP of product management at IBM Security. “These insights enable organizations to shield exposed data, revoke unauthorized access, secure vulnerabilities, and remain compliant. The upshot is mitigating disastrous data breaches, costly non-compliance fines, and data leakage by LLMs.”