![]() There's been a huge amount of talk around the exciting possibilities brought by deployment of #AI in recent months, but by far the most common use case that Splunk customers want help with in this space is some variation on "how can I find the thing in my wider group of things that's behaving unusually?" or "how can I profile when someone starts to behave differently to how they've behaved in the past?" Utilise the dashboards provided to view and drill-down on the entities which have the highest behavioral scores, using the panels provided to investigate the pattern of activity and mark the entity as reviewed or allow listed if required.Įnsure your rules continue to execute effectively by monitoring their performance and output via the provided views, allowing easy adjustment if necessary to continue to allow you to find the entities that matter. ![]() The Splunk App for Behavioral Profiling is a collection of workflows which enable you to operationalize machine learning driven detection and scoring of behavioral anomalies at scale in complex environments, correlated to profile and highlight the entities which require investigation.ĭefine and schedule behavioral indicators and scoring rules with the help of a guided workflow, which turns the behaviors you want to track into operationalised anomaly detection rules, outputing behavioral scores aligned to entities. This app streamlines those efforts and allows for better time to value.ĭownload the app for free and watch a demo of it in action on splunkbase: Personally I remember dozens of projects that all shared a similar pattern or methodology, but it took time to get all the components working hand in hand. The wave of innovations around #splunk #ai continues: congratulations Rupert Truman and Josh Cowling on this release! □ From my experience this brand new Splunk App for Behavioral Profiling can be a true game changer for every #security or #fraud or #operations #analyst or #admin who wants to operationalise typical anomaly detection systems with #analytics and #machinelearning in Splunk. #CyberSecurity #ArtificialIntelligence #DataProtection #CustomerAlignment Kudos to Philipp Drieger and the team at Splunk for leading the way in this vital field! It reiterates the importance of developing digital services that not only excite the customer but also stand up to the increasing security challenges we face today. By employing anonymized data sets, it's possible to ensure robust security without compromising user privacy.Īs someone deeply involved in Experience Design and Business Analysis, I can't help but think about the profound implications this has on aligning customer needs with business security objectives. ![]() One of the most noteworthy takeaways was the emphasis on the compatibility of AI-driven security measures with data privacy regulations. These anomalies can serve as red flags, indicating that an account may have been compromised or that unauthorized activity is occurring within a system. The focus was on the groundbreaking integration of Artificial Intelligence (AI) in the realm of Cyber Security.ĪI technologies are increasingly becoming a linchpin in identifying anomalies in data flow and exceptional user interactions. He presented several use cases, but one I found fascinating. I just had the pleasure of attending a captivating presentation by Philipp Drieger Drieger from Splunk at #bas23. □ **The Role of AI in Transforming Cyber Security: Insights from Philipp Drieger at Splunk** □
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