
Cisco executives said during a press briefing that AI agents are operating across data centers, campuses, and branches, and interacting with enterprise resources and other agents. For example, if an agent deletes thousands of files, IT teams need to determine whether it malfunctioned or was compromised.
On-premises option: Cisco AI POD for Splunk
Aimed at enterprises that need to keep sensitive machine data within their own environments, Cisco AI POD for Splunk “brings Splunk AI to on-premises customers with new AI runtime software, Cisco infrastructure, Nvidia accelerated computing, and Kubernetes-based architecture, pre-validated and optimized for Splunk AI workloads,” according to Cisco.
“One of the biggest roadblocks to enterprise AI today is that it’s too hard to deploy,” said Jeetu Patel, Cisco’s president and chief product officer, in a statement. “Customers want to know: Can I trust it to do the job? Can I afford it? And, most importantly, can I secure it? By running Splunk AI on the infrastructure customers already trust, they can move faster to put AI to work in their business with confidence and control.”





















