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Activate AgenticOps to move from reactive to predictive

Build trusted, agentic workflows that predict issues, accelerate resolution, and automate responses across teams.

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Turn Data Chaos into AI Clarity

Hear from experts on perspectives to go from data chaos to clarity in the Agentic AI era.

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Gain insights from top Splunk minds and industry leaders in the agentic era.

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Deploy AI assistants and agents to transform machine data into resilient operations across security and observability

Bring security, IT, engineering, and networking together with shared intelligence

Unify telemetry across security, infrastructure, and networks. Give SecOps, ITOps, engineering, and NetOps teams the context to mitigate cyber risk, monitor AI from silicon to agent, and identify issues to restore services faster.

Observe and evaluate AI agents, infrastructure, models, and cost with Splunk Agent Observability

Reliable agents need more than one check. Evaluate and improve agent behavior, observe performance across the entire AI stack, track usage and cost, and guardrail actions in real-time across 100% of traffic to ensure agents are trusted and reliable in production.

Speed up insights and action with an AI teammate

Splunk AI Assistant helps teams investigate issues, uncover answers, and take the next best action with confidence. Grounded in your environment and guided by human approvals, it reduces manual work, speeds resolution, and helps more users get value from Splunk faster.

Build and deploy AI models for enhanced context

Speed time to value with guided workflows for building and using custom models with AI Toolkit. Analyze data, refine outputs, and set alerts for common use cases. Run Splunk AI out-of-the-box in the cloud or in your own data center with Cisco AI POD for Splunk.

Activate agents and MCP for guided resolution

Deploy native agents that plan and execute triage or troubleshooting with human oversight, while Splunk’s Model Context Protocol (MCP) server coordinates workflows end-to-end across data sources and ecosystems.

Accelerate team investigations with collaborative AI workflows

AI Canvas serves as the collaborative hub for your analysts. By working directly across unified data and context layers, it enables disparate teams to resolve complex issues together. It turns investigations into rapid, iterative execution cycles, allowing stakeholders to align on the right actions.

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Activate your agentic enterprise with Splunk

Bring together AI assistants, agents, and workflows to drive faster outcomes.

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