Data in Plain Sight: Finding, Classifying, and Protecting Sensitive Data Before AI Exposes It by Heather Case-Hall is a timely cybersecurity guide that addresses one of the most pressing challenges facing organizations today: securing sensitive data before AI systems, automation tools, and over-permissioned users expose hidden risks.
Drawing on more than two decades of cybersecurity and IT experience, the author provides a practical roadmap for building effective data security programs that support both security and responsible AI adoption.
Book Details
| Detail | Information |
|---|---|
| Book Title | Data in Plain Sight: Finding, Classifying, and Protecting Sensitive Data Before AI Exposes It |
| Author | Heather Case-Hall |
| Genre | Cybersecurity, Data Security, Information Technology |
| Pages | 371 |
| Language | English |
| Publication Date | July 7, 2026 |
| Theme | Data security, AI governance, privacy, cybersecurity risk management |
| Ideal Readers | Security professionals, CISOs, IT leaders, compliance teams, data governance practitioners |
| Book Link | https://www.amazon.com/dp/B0H3NDN1PJ |
Addressing a Modern Security Challenge
The book recognizes that AI adoption is accelerating faster than many organizations’ ability to govern and secure their data environments.
This makes the topic highly relevant.
Focus on Data Rather Than Systems
Instead of concentrating solely on infrastructure security, the author emphasizes the importance of understanding, locating, and protecting sensitive data wherever it resides.
This reflects modern cybersecurity realities.
Practical Introduction to DSPM
A major focus of the book is Data Security Posture Management (DSPM) and its role in identifying, classifying, monitoring, and securing sensitive information.
This provides valuable industry insight.
Connecting Security Disciplines
The book demonstrates how data security intersects with identity management, privacy programs, governance frameworks, data loss prevention, and AI readiness.
This creates a comprehensive perspective.
Guidance for Both Leaders and Practitioners
Technical teams can benefit from implementation strategies while executives can gain a clearer understanding of risk management and reporting.
This broadens the audience.
AI Governance and Readiness
A particularly valuable aspect is the discussion of preparing data environments before connecting them to AI platforms and copilots.
This addresses an emerging concern for many organizations.
Action-Oriented Frameworks
The inclusion of practical 30-, 60-, and 90-day planning approaches helps readers translate concepts into actionable programs.
This increases usability.
Avoiding Tool-Centric Thinking
Rather than promoting specific vendors, the book emphasizes building a strong security strategy before selecting technology solutions.
This enhances long-term value.
Final Thoughts
Data in Plain Sight is a practical and forward-looking guide that helps organizations understand the growing relationship between data security, privacy, governance, and AI adoption. Heather Case-Hall combines strategic thinking with actionable advice to create a resource that is both accessible and highly relevant for today’s cybersecurity landscape.
For security leaders, IT professionals, compliance teams, and organizations preparing for AI-driven workflows, this book provides valuable guidance on reducing risk and strengthening data protection.