The office security platform manages cloud-native threat detection through a combination of real-time monitoring, behavioral analysis, automated response, and integration with cloud infrastructure. Here's how it works:
Real-Time Monitoring: The platform continuously scans cloud-native environments (such as containers, Kubernetes, and serverless functions) for suspicious activities. It collects logs, network traffic, and system metrics to identify anomalies.
Behavioral Analysis: By establishing baseline behaviors for users, applications, and services, the platform detects deviations that may indicate threats, such as unauthorized access or unusual data transfers. Machine learning models enhance this by adapting to new attack patterns.
Automated Response: When a threat is detected, the platform can automatically isolate affected resources, block malicious IPs, or trigger alerts for further investigation. This minimizes dwell time and reduces manual intervention.
Cloud Infrastructure Integration: The platform leverages native cloud APIs (e.g., for logging, identity management, and orchestration) to enforce security policies consistently across workloads. For example, it can enforce least-privilege access in Kubernetes clusters or monitor serverless function executions.
Example: In a containerized environment, the platform might detect a container attempting to access sensitive files outside its designated directory. It would then automatically quarantine the container and notify the security team.
For enhanced cloud-native security, Tencent Cloud Security Services (like Cloud Workload Protection or Container Security) provide advanced threat detection, vulnerability scanning, and compliance monitoring tailored for modern cloud architectures. These services integrate seamlessly with cloud-native technologies to ensure proactive defense.