Guide
The Enterprise Guide to Data Security
The Enterprise Guide to Data Security outlines a comprehensive approach to replacing fragmented security with a unified, long-term data protection architecture. The guide emphasizes that effective data security requires visibility, intelligence, automation, and continuous governance across both data in motion and data at rest. It presents an ideal data security journey consisting of five key stages: Discover, Analyze, Remediate, Enforce, and Govern. Organizations must first identify sensitive data wherever it resides, then analyze risks using correlation and AI-driven insights. Next, they should improve data hygiene through risk mitigation and automation, deploy security controls that can warn, block, or isolate threats across all channels, and continuously monitor and automate policy adju
