![]() This integration gives organizations a unified view of their customer-facing systems, including applications, infrastructure, and data. With security teams embattled by an overwhelming number of attacks and devices to manage, any strides to provide ML-driven attack analysis will be well received.Īnother key innovation announced by Splunk is the integration of Splunk Observability Cloud and Splunk Cloud Platform. Splunk Attack Analyzer also provides context about the threat, such as the source of the attack, the affected systems, and the potential impact. The tool uses machine learning (ML) to analyze security telemetry data and identify anomalous activity that could be indicative of a threat. Splunk Attack Analyzer is designed to be an automated threat analysis tool that helps security operations teams quickly identify and respond to threats. According to the company, the new innovations are designed to help enterprises enhance their security operations, drive exceptional customer experiences, and gain unparalleled visibility across their hybrid cloud environments. Splunk Goes All in on AI: New Innovations to Enhance Security, Customer Experience, and VisibilityĪnalyst Take: Splunk, a leading provider of security and observability solutions, with more than 14,000 customers globally, announced several new innovations at its annual user conference. For the full announcement details, see the Press Releases on Splunk’s website, here and here. conf23 event to launch product updates and announce a significant pivot to AI. Hybrid Cloud, Infrastructure, and Operations.
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