System Monitoring → AI Threat Detection → Automated Response

Configure Splunk to ingest logs from servers, applications, firewalls, and security devices. Set up real-time monitoring with searches that trigger when unusual patterns or volumes are detected.

Feed suspicious log entries to GPT-4 with context about normal system behavior. Ask it to identify potential attack patterns, data exfiltration attempts, or system compromises, providing confidence scores and threat descriptions.

Create PagerDuty incidents for high-confidence threats identified by AI, including the threat analysis, affected systems, and recommended response actions. Route to appropriate on-call security personnel.

For certain threat types, automatically execute containment actions like blocking IP addresses in security groups, disabling compromised user accounts, or isolating affected systems using AWS APIs.

Create detailed incident records in Notion database including timeline, AI analysis results, automated actions taken, and space for post-incident analysis and lessons learned.