Enhanced SIEM Analytics with AI-powered Modules and Global Threat Intelligence

Enhanced SIEM Analytics with AI-powered Modules and Global Threat Intelligence

At ITSC, our system and security administrators presently depend on Splunk as the primary data platform for ingesting and normalising machine data from our comprehensive infrastructure. This foundational system enables our team to perform essential log analysis for security investigations and to conduct statistical analyses to establish baseline behaviours of users and networks. Using Splunk’s core search and reporting capabilities, we can effectively reconstruct historical security events and monitor statistical trends across our entire digital environment.

 

To stay ahead of sophisticated adversaries, we are deploying Splunk Enterprise Security (ES). This upgrade is essential, as traditional log analytics cause alert fatigue by overwhelming analysts with low-context data. Splunk ES improves our SIEM platform with Risk-Based Alerting (RBA), which can reduce alert volumes by up to 90% and increase threat detection accuracy. It offers over 1,700 detections aligned with the MITRE ATT&CK framework and integrates threat detection, investigation, and response workflows. This transition allows ITSC to shift from reactive search to proactive AI-driven security, providing essential context-aware intelligence to identify threats and respond swiftly to security incidents.