Splunk has introduced new capabilities in Splunk Agent Observability that let teams track token usage and costs across AI coding tools in one place and predict final billing before the cycle ends.
At splunkconf26, Splunk announced expanded collaboration with awscloud and NVIDIA to deliver more local compute power for Splunk AI, enabling customers to run governed AI on sensitive machine data in self-managed environments.
Splunk’s new Machine Data Outlook Report, based on responses from more than 4,000 leaders, says 74% of tech leaders report that AI and automation have created significant data management challenges.
Splunk says Mitiga uses the Splunk AI Toolkit and the Cisco Deep Time Series Model to detect volume drops across more than 10,000 collection jobs, cutting detection time to a few hours.
Splunk says Agent Observability debuted at Splunk Conf 26, with new Tokenomics and Observability Studio features for monitoring autonomous agents in production.
Token Meter is a free, open-source menu bar tool from Splunk that shows coding agent costs as a run is underway.
