Key indicators for data risk assessment include:
Data Sensitivity: The level of confidentiality and potential impact if data is exposed. For example, personally identifiable information (PII) or financial records are high-sensitivity data.
Example: A healthcare provider assessing risks for patient records must prioritize encryption and access controls.
Data Volume and Growth Rate: Large volumes of data increase storage and management complexity, raising risks of breaches or inefficiencies.
Example: A company experiencing rapid data growth from IoT devices may need scalable solutions like Tencent Cloud’s COS (Cloud Object Storage) to handle capacity and security.
Access Control and Permissions: Improper access management can lead to unauthorized data exposure.
Example: Regularly auditing user permissions in Tencent Cloud CAM (Cloud Access Management) ensures only authorized personnel access critical data.
Data Location and Compliance: Storing data across regions may violate regulations like GDPR or HIPAA.
Example: A multinational business using Tencent Cloud’s multi-region compliance-certified services (e.g., ISO 27001, GDPR-ready) to meet legal requirements.
Threat Landscape: Frequency of cyberattacks, malware, or phishing targeting the data.
Example: Deploying Tencent Cloud’s Web Application Firewall (WAF) to mitigate DDoS and SQL injection risks.
Data Backup and Recovery: Lack of backups increases downtime risks during breaches or failures.
Example: Configuring automated backups via Tencent Cloud CBS (Cloud Block Storage) with point-in-time recovery options.
Data Lifecycle Management: Poor handling of data from creation to deletion can lead to retention risks.
Example: Using Tencent Cloud’s data lifecycle policies to auto-archive or delete obsolete data, reducing storage costs and compliance risks.
Third-Party Risks: Vendors or partners with weak security practices can compromise data.
Example: Assessing Tencent Cloud’s partner ecosystem for shared responsibility models in security.