Going beyond basic data security with Google Cloud DSPM

In the age of data democratization and generative AI, the way organizations handle data has changed dramatically. This evolution creates opportunities — and security risks. The challenge for security teams isn't just about protecting data; it's about scaling security and compliance to meet this new reality. 

While traditional security controls are vital to risk mitigation, many data security posture management solutions lack the necessary capabilities that today’s organizations require. For example, an organization with AI workloads needs to make sure that sensitive data is not leaking into the training environment; that intellectual property such as models and weights are protected from exfiltration; and that all their models support “compliance explainability.” 

There are four key concerns that organizations should understand for robust data security: where sensitive data resides, how it’s used, what controls can secure it, and the monitoring tools available to provide evidence for compliance. Our new ...