Challenge

SIEMs, EDRs and other security solutions can each generate thousands of alerts per day, making it a near impossible task to accurately prioritize which potential threats to address first. With the high volume of false positives generated by a constantly growing number of security platforms, alert triage is one of the most time consuming and least efficient aspects of a security analyst’s job.

Solution

LogicHub playbooks use embedded machine learning and behavioral baselining to learn like human analysts for accurate, automated decision making. Alerts from any platform are automatically analyzed and assigned a risk rating that allows both security analysts and incident response playbooks to address the highest priority events first.

Benefit

Automated alert triage reduces alarm fatigue and ensures that security operations teams stay focused on the tasks that matter the most. This reduces false positives, lowers response times, and improves operational efficiency.

Use Cases

Solution

LogicHub playbooks use embedded machine learning and behavioral baselining to learn like human analysts for accurate, automated decision making. Alerts from any platform are automatically analyzed and assigned a risk rating that allows both security analysts and incident response playbooks to address the highest priority events first.

Benefit

Automated alert triage reduces alarm fatigue and ensures that security operations teams stay focused on the tasks that matter the most. This reduces false positives, lowers response times, and improves operational efficiency.

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