Summary
Determining where the organization is most exposed no longer requires correlating signals across separate consoles. The posture dashboard shows coverage gaps and trends. Objectives identify which gaps carry the most risk. Discovery surfaces reveal which agents are ungoverned, which workloads lack labels, and whether the situation is improving or getting worse.
In this module, you learned how to:
- Describe how Data Security Posture Management (DSPM) consolidates data loss prevention (DLP), information protection, Insider Risk Management, and Data Security Investigations into a unified posture view
- Interpret key posture metrics and trending data on the DSPM dashboard
- Evaluate data security objectives to prioritize the highest-risk gaps
- Discover AI apps and agents with sensitive interactions using AI observability
- Assess classification and labeling coverage using asset explorer
- Track posture changes over time using DSPM reports
Posture shifts as new data is created, policies change, and AI adoption grows. Regular review of these surfaces shows whether previous priorities were addressed and whether new risks have emerged. The next steps, creating remediation policies from objectives and investigating specific incidents, build on the priorities that assessment identifies.