Data Security Posture Management (DSPM)
Coined by Richard Ewing, Product Economist
Definition
Data Security Posture Management (DSPM) is the automated discovery, mapping, and continuous monitoring of sensitive data across multi-cloud environments, specifically architected to prevent data exfiltration by autonomous AI agents. In the era of shadow agents and zero-trust boundaries, traditional perimeter security fails because AI workloads dynamically ingest vast quantities of unstructured corporate data (emails, Slack logs, PDFs). DSPM enforces strict identity access management (IAM) at the vector-database level, ensuring that AI models can only query data authorized for the specific execution context.
Why It Matters
Without DSPM, an executive assistant agent interacting with a procurement system could be maliciously prompted into returning highly sensitive financial forecasts. DSPM mathematically restricts the agent's context window.
How to Calculate
- 1Audit unstructured data locations (S3 buckets, OneDrive, Slack)
- 2Deploy automated classification to tag PII and financial data
- 3Enforce zero-trust retrieval policies before vector embedding
Related Articles
- "The Rise of Shadow Agents: Why Your Next Data Breach Will Be Automated" — The Canon, Apr 2026
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Use the interactive tool to calculate your Data Security Posture Management (DSPM).
Use the Shadow AI Defensibility →Citation
To cite this definition:
Ewing, R. (2026). "Data Security Posture Management (DSPM)." richardewing.io.
https://www.richardewing.io/articles/frameworks/dspm