Enhancing Security and Observability with Splunk AI

During Splunk’s .conf23 event, the company announced Splunk AI, a set of AI-driven technologies targeted at strengthening its unified security and observability platform. This new advancement blends automation with human-in-the-loop experiences to enable organisations to improve their detection, investigation, and reaction skills while preserving control over AI implementation.

The AI Assistant, which uses generative AI to give consumers an interactive conversation experience using natural language, is one of the major components of Splunk AI. Users can create Splunk Processing Language (SPL) queries through this interface, enhancing their expertise of the platform and optimising time-to-value. The AI Assistant intends to make SPL more accessible, democratising an organization’s access to valuable data insights.

SecOps, ITOps, and engineering teams can automate data mining, anomaly detection, and risk assessment thanks to Splunk AI. These teams can concentrate on more strategic duties and decrease errors in their daily operations by utilising AI capabilities.

The AI model em

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