Retail Data & AI: A DSPM Playbook for Secure Innovation
In our latest whitepaper, you’ll learn more about:

Retailers handle vast amounts of sensitive customer data from point-of-sale (POS) systems, e-commerce platforms, loyalty programs, and omnichannel sources. This high data volume makes the sector especially attractive to attackers. In fact, retail consistently ranks among the most targeted industries for cyber incidents.

Data Security Posture Management (DSPM) is a modern, data-first approach that continuously discovers, classifies, and secures sensitive information across cloud, SaaS, and on-prem environments. For retail, DSPM helps protect customer data, ensure compliance, and enable safe adoption of AI technologies like Generative AI without exposing sensitive information.

Retail businesses struggle with:

-Expanding attack surfaces due to omnichannel operations.
-Shadow data spreads across hybrid environments.
-Compliance with privacy laws like GDPR and CCPA.
-Safe adoption of AI tools without risking customer PII exposure.

AI is increasingly used for personalization, inventory optimization, and fraud detection. DSPM ensures the data feeding these AI systems is properly classified, governed, and secured. This reduces risks like data leakage, bias, or regulatory violations while allowing retailers to innovate with confidence.

Yes. DSPM automates compliance by mapping sensitive data to regulatory obligations, continuously monitoring posture, and generating audit-ready reports. This helps retail businesses meet requirements under GDPR, CCPA, PCI DSS, and emerging AI regulations while reducing the manual burden on compliance teams.