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Splunk's strategic pivot to an "agentic enterprise" architecture directly addresses the scalability challenges posed by AI agents generating massive volumes of telemetry. By introducing a federated data fabric that analyzes information in place, the platform aims to reduce ingestion costs while enabling real-time governance and security controls at machine speed. This shift represents a fundamental reimagining of data infrastructure specifically designed to support the operational realities of autonomous AI systems.

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Splunk rebuilds its platform around agents

SiliconANGLESeptember 15, 20267 min read

Cisco Systems Inc.’s Splunk unit today unveiled a broad set of platform, security and observability enhancements intended to reposition the company as a data and governance foundation for the emerging “agentic enterprise.” Splunk executives said the announcements are a strategic overhaul rather than a routine product refresh. Splunk is adapting its platform for a world in which artificial intelligence agents generate far more telemetry than people, operate at machine speed and make decisions that can have immediate operational, financial and security consequences. “This is not just an incremental evolution or an additional bunch of features,” said Mangesh Pimpalkhare, senior vice president and general manager of Splunk Platform at Cisco. “We’ve reimagined Splunk so that customers can start to trust AI at scale.” The strategy spans three broad…

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