The main functions of data risk monitoring include:
Anomaly Detection: Identifying unusual patterns or deviations in data that may indicate risks, such as sudden spikes in access requests or unexpected data modifications.
Example: A financial system detects a sudden surge in login attempts from an unusual IP address, triggering an alert.
Data Breach Prevention: Monitoring for unauthorized access or suspicious activities to prevent data leaks or breaches.
Example: A healthcare platform tracks access to patient records and flags unauthorized attempts by employees.
Compliance Monitoring: Ensuring data handling adheres to regulatory requirements (e.g., GDPR, HIPAA) by tracking data flows and access logs.
Example: An e-commerce company uses monitoring tools to verify that customer data is processed in compliance with regional laws.
Threat Intelligence Integration: Leveraging external threat data to correlate risks and enhance detection capabilities.
Example: A cloud service provider integrates global threat feeds to identify emerging attack patterns targeting its infrastructure.
Real-Time Alerts and Response: Providing instant notifications for detected risks and enabling automated or manual responses.
Example: A database administrator receives an alert when a query exceeds predefined thresholds, allowing immediate investigation.
For cloud-based data risk monitoring, Tencent Cloud offers services like Cloud Security Audit (CSA) and Cloud Monitor (CM) to track access logs, detect anomalies, and ensure compliance. These tools help businesses safeguard their data assets effectively.