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Tokenomics

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Announcing Tokenomics in Splunk Agent Observability

Monitor AI tool cost and adoption across your organization with Tokenomics. This feature brings usage data from supported AI third-party providers into Splunk Agent Observability so you can understand cost, adoption, and the teams behind them.Use Tokenomics to track active users and usage trends over time to see which tools your teams use most. Drill down from organization-level totals to providers, models, job families, managers, and individual users. Learn more.Tokenomics overview
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Signals enhancements, AI Assistant generally available

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Signals enhancements

Signals is now available as a tab within an Agent Stream, making it easier to discover and investigate failure patterns across your AI agents.Within a signal, select Remediate with AI Assistant to send its context directly to the AI Assistant. Ask questions to understand what went wrong, identify the next best action, and move from detection to remediation without leaving your workspace. Learn moreRemediate a signal with the AI Assistant

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AI Assistant generally available

AI Assistant is now generally available. Open it from anywhere you debug in Agent Observability to ask questions about your agentic system, investigate issues, and identify fixes. Learn more
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Splunk Agent Observability on-premises

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Announcing Splunk Agent Observability for on-premises deployments

Splunk Agent Observability is the leading observability, evaluation, and guardrail platform for GenAI and agentic applications. Designed to empower engineers, product managers, and subject matter experts to build safe and reliable AI applications, Splunk Agent Observability works with all major LLM providers and can be used with your favorite agentic framework, a Python SDK, or an API.To get started, contact support for access and see What is Splunk Agent Observability.