This solution brief explains how Securonix Next-Gen SIEM helps detect and respond to insider threats, including malicious insiders and compromised accounts, by combining real-time monitoring with behavioral analytics. It builds identity and risk profiles, tracks users across multiple accounts and networks, and correlates low-and-slow activity into higher-fidelity alerts using machine learning and threat models aligned to MITRE ATT&CK and US-CERT. It also supports credential-risk analytics by correlating IAM data with user risk signals and peer/outlier analysis, enabling watchlists and common use cases such as data exfiltration, lateral movement, and privileged account monitoring.

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