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Data Protection

Cybersecurity Cloud Security Context SaaS Security Context Protect (Cybersecurity Controls) Application & API Security Backup & Resilience Controls Data Protection Identity & Access Management (IAM) Network Security & Segmentation Privileged Access Management (PAM) Secure Configuration & Hardening Security Awareness & Training Data Privacy & Governance Data Flow & Lineage Mapping
Cybersecurity Cloud Security Context SaaS Security Context Protect (Cybersecurity Controls) Application & API Security Backup & Resilience Controls Data Protection Identity & Access Management (IAM) Network Security & Segmentation Privileged Access Management (PAM) Secure Configuration & Hardening Security Awareness & Training Data Privacy & Governance Data Flow & Lineage Mapping
New to this diagram? Learn about the method: Use Case Tree · Use Case · Outcome

Protect sensitive data across its lifecycle by applying appropriate handling rules, access controls, encryption, and loss-prevention measures aligned to obligations and business risk.

Data protection focuses on reducing the risk and impact of data loss, theft, or misuse while enabling the business to use data safely.

Outcomes

  • Reduced likelihood and impact of data breaches
  • Improved compliance with privacy and sector regulations
  • Clear handling rules for sensitive data and regulated records
  • Better detection and containment of data exfiltration attempts

Typical scope

  • Data handling rules by classification and criticality
  • Encryption and key management expectations
  • Data loss prevention (DLP) for key channels
  • Monitoring and response for high-risk data movement