Transforming On-Prem Data Security: Overcoming Legacy Tool Challenges

Executive Summary

Securing on-premises data is increasingly complex, driven by AI and automation. Legacy tools struggle with misclassification, overexposure, and unauthorized access, making risk management challenging. As modern enterprises maintain a significant portion of their data on-prem, effective DSPM solutions leveraging AI-native data classification and continuous risk analysis are crucial. This transformation enables organizations to safeguard their data without impeding operations, highlighting the necessity for updated strategies despite the rise of cloud solutions.

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Key Insights

1. Challenges of Legacy Tools in Data Security

• Legacy security tools often fail to adapt to modern data volumes, resulting in misclassification and overexposure of sensitive data.
• These outdated approaches increase risk as enterprises rely heavily on real-time data for AI applications.

2. The Growing Importance of On-Prem Data

• Despite shifting to the cloud, 39% of organizations still store most of their critical data on-premises.
• On-prem data serves essential functions, including supporting regulated workloads and legacy systems, highlighting its significance in overall data security strategy.

3. The Role of AI in Modern DSPM Solutions

• AI-native data classification techniques enhance visibility and control over on-prem data, reducing security risks.
• Continuous risk analysis allows organizations to proactively manage vulnerabilities and secure sensitive information effectively.

4. Integrating Cloud and On-Prem Solutions

• Organizations are increasingly adopting hybrid models, balancing cloud agility with on-prem stability.
• A cohesive strategy is necessary to mitigate risks associated with both environments while maximizing operational efficiency.

👉 Access the full expert analysis and actionable security insights from Cyera here.