AI for Automated Threat Hunting

AI automates threat hunting by correlating threat intelligence with system activity. Machine learning models analyze Indicators of Compromise (IoCs) to detect ongoing attacks.

Threat Hunting Techniques:

• Event Correlation: AI maps security events to known attack patterns.
• Time-Series Analysis: Detects time-based attack trends.
• Cluster Analysis: Groups suspicious activities based on behavior.
• Reinforcement Learning: AI adapts to evolving attack strategies.

Data Sources for AI Threat Hunting:

• Security Information and Event Management (SIEM) logs
• Threat intelligence feeds (MITRE ATT&CK, VirusTotal, AlienVault)
• Endpoint Detection and Response (EDR) logs