Organizations cannot protect data they do not understand. As sensitive information spreads across cloud platforms, SaaS applications, GenAI workflows, and shadow data environments, security teams are losing the centralized visibility and ownership needed to reduce risk effectively. At the same time, regulatory and control expectations continue to expand, while many teams are overwhelmed by alerts that lack the context needed to drive meaningful action.
This webcast explores how Data Security Posture Management (DSPM) helps modern organizations regain visibility into where data lives, what that data is, who can access it, and where the greatest exposures exist. Rather than a single feature, DSPM is a continuous discipline that enables organizations to discover sensitive data, classify it, assess risk through a threat-based lens, and prioritize action across cloud and SaaS environments.
What You Will Learn
- Why data sprawl across cloud, SaaS, GenAI, and shadow environments has made traditional visibility and ownership models inadequate
- What DSPM is, how it fits into the broader data security ecosystem, and why it should be treated as a continuous discipline
- How DSPM capabilities such as data discovery, classification, and risk analysis help organizations identify sensitive data and prioritize exposures
- How DSPM can support cloud risk reduction, privacy and compliance efforts, and stronger audit readiness across key stakeholder groups
- Why DSPM and DLP work better together, with DSPM surfacing risk and DLP enforcing protection in a more precise and continuous way
Organizations adopting cloud, SaaS, and AI technologies need a more informed and risk-driven approach to protecting sensitive data. By understanding how DSPM modernizes data defense, security and risk leaders can improve visibility, strengthen governance, accelerate compliance efforts, and make smarter decisions about where to focus resources first.
