Steve McDowell is chief analyst at NAND Research. Steve is a technologist with over 25 years of deep industry experience in a variety of strategy, engineering, and strategic marketing roles, all with the unifying theme of delivering innovative technologies into the enterprise infrastructure market.
to its Security Information and Event Management solution, which is part of its Elastic Security offering. The new capabilities, revealed at the recent RSA Conference, are a significant step forward in the evolution of security operations centers.Traditional SIEM systems have been invaluable for collecting and analyzing security logs and events to detect threats.
Attack Discovery uses large language models to analyze and prioritize security alerts. It filters through the noise by focusing on the most critical alerts based on various parameters like severity, asset criticality, and risk scores. This prioritization helps SOCs concentrate their resources on the most significant threats.New FBI Warning As Hackers Strike Email Senders Must Do This 1 Thing
The new capability leverages Elastic’s Search AI platform, which combines powerful search capabilities with retrieval-augmented generation. This integration allows Attack Discovery to access a rich context of security data, ensuring that alert prioritization is accurate and relevant. The results are presented in a user-friendly interface that makes it easy for security teams to quickly understand the nature of the attacks, facilitating swift and informed decision-making for follow-up actions.Elastic’s updates to its SIEM solution reflect a clear industry trend towards greater AI integration within cybersecurity tools, reflecting the broader industry movement towards automation and advanced analytics.
Attack Discovery SIEM Splunk Elastic Security RSA RSAC
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