With cyber attacks becoming more sophisticated all the time, the SOC team was excited to integrate the IBM Security QRadar Suite for AI-based automations and wide visibility across systems and platforms, uplevelling their security measures across the board.
The results so far have been incredibly promising; we remediate threats 60% faster and have eliminated 20 hours of manual work every month, helping our analysts spend more time on complex issues—for greater overall security.
The solution has impressed from the start; our team had been using UBA for only a week when a brute-force attempt targeted a boxxe user ID. Within five minutes, UBA detected abnormal logins and began increasing the activity’s risk score, allowing the SOC team to respond and prevent any damage. The manually made rule triggered an alert almost 10 minutes later.
We’re now taking advantage of IBM’s AI tools to deliver efficiency at scale; the team has deployed UBA in a multitenant architecture and activated more than 1,500 rules, and has only received one false positive. And although we’re only just beginning to use UAX, it’s already represented a massive leap forward – as Kemp says, “we can use it to integrate pretty much anything. It's federated search appears to be quite unique, as it goes to other platforms, reads their data and returns results back to you with filters you select. We used to operate 14 dashboards. We’ve used UAX to consolidate them down to three, and we plan to get to just one. We can escalate in UAX, we can deal with alerts in it, we can cross reference it, do reputation scans from it, threat hunting—all in one single pane of glass.”
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