Common methods for threat detection and response include:
Signature-Based Detection: This method identifies threats by comparing them against a database of known attack patterns (signatures). It is effective for known threats but may miss zero-day attacks.
Example: Antivirus software scanning files for known malware signatures.
Anomaly-Based Detection: This approach monitors system behavior and flags deviations from normal patterns, which could indicate a threat. It is useful for detecting unknown or zero-day attacks.
Example: A network monitoring tool detecting unusual data transfer volumes from a server.
Behavioral Analysis: Focuses on analyzing the actions of users or systems over time to identify suspicious activities.
Example: Detecting a user account suddenly accessing sensitive files at unusual hours.
Heuristic Analysis: Uses rules and algorithms to detect suspicious behavior, even if the threat is not previously known.
Example: Identifying a script attempting to exploit vulnerabilities in a web application.
Threat Intelligence Integration: Combines external threat data (e.g., known malicious IP addresses) with internal logs to enhance detection.
Example: Using threat feeds to block connections from IP addresses associated with botnets.
For cloud environments, Tencent Cloud offers services like Host Security (CWP) for endpoint protection, Cloud Firewall for network traffic monitoring, and Tencent Cloud Security Center for centralized threat detection and response. These tools leverage signature-based, anomaly-based, and behavioral analysis to safeguard cloud workloads.