Prioritize and investigate the most significant alerts. Perform historical impact assessment of IOCs and 3rd party alerts.
Behavioral analytics amplifies the alert prioritization and incident investigation skills of security analyst teams, allowing them to efficiently prioritize alerts from other systems, and easily investigate and triage incidents through analytics-driven visibility. Niara builds risk profiles for users and hosts by applying behavioral analytics techniques, including supervised and unsupervised machine learning, on data from the network and security infrastructure – packets, flows, logs, and alerts. The interesting security insights generated by Niara analytics are oriented around a user or host and make it easy for analysts to conduct their alert prioritization and incident investigation efforts.
Learn how machine learning-based analytics enable you to find real security incidents despite daily indicators that may run into the thousands and an acute shortage of experienced security personnel.
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