Next-Gen SIEM: How AI and automation are revolutionising threat detection and response

By Preeti Raghuvanshi Singh, Vice President, IndyGen Labs

In today’s digital landscape, cyber threats are more sophisticated and persistent than ever. Traditional security tools struggle to keep up with the increasing volume of alerts and the rapid pace of cyberattacks. Next-generation Security Information and Event Management (SIEM) platforms, powered by AI, machine learning, and automation, are transforming how organisations detect and respond to threats in real time.

AI-Driven Anomaly Detection and Improved Accuracy

Conventional SIEM systems rely on static rules to identify threats, which often leads to a flood of false positives and missed emerging attacks. Modern SIEM platforms use AI and machine learning to analyse vast datasets, identify subtle deviations from normal behaviour, and detect sophisticated threats that rule-based systems overlook.

By creating dynamic behavioural baselines, these platforms can flag anomalies such as unusual login patterns, data exfiltration attempts, or lateral movements. Machine learning models ...