Best AI IT Agents for Splunk Enterprise

Compare the Top AI IT Agents that integrate with Splunk Enterprise as of April 2026

This a list of AI IT Agents that integrate with Splunk Enterprise. Use the filters on the left to add additional filters for products that have integrations with Splunk Enterprise. View the products that work with Splunk Enterprise in the table below.

What are AI IT Agents for Splunk Enterprise?

AI IT agents are autonomous or semi-autonomous software agents designed to monitor, manage, and resolve IT operations tasks using artificial intelligence. They can analyze signals from logs, metrics, tickets, and endpoints to detect issues and take corrective action in real time. These agents often collaborate with existing IT systems to automate incident response, remediation, and routine maintenance. Many AI IT agents learn from historical data to improve accuracy and decision-making over time. By reducing manual intervention and response times, AI IT agents enhance system reliability, security, and IT team productivity. Compare and read user reviews of the best AI IT Agents for Splunk Enterprise currently available using the table below. This list is updated regularly.

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    Resolve

    Resolve

    Resolve Systems

    Resolve is the #1 IT automation and orchestration platform, powering more than a million automations every day from simple, high-volume tasks to incredibly complex processes that go well beyond what you imagine is automatable. With more than a decade of automation expertise under our belts, we know how to build an intelligent automation and orchestration platform to meet the growing demands faced by today’s IT Operations and Network Operations teams. In fact, millions of automations are powered by Resolve on a daily basis… many of which go well beyond what you imagine is automatable. We know it sounds impossible, but it’s true. Just ask the customers who have cracked the code on tough automations like PIM testing, updating active load balancers, CUCM onboarding in seconds, true end-to-end patch management, interacting with Watson for NLP, maintaining infrastructure in segregated networks and hybrid cloud deployments, and more. Keep reading to see how we do it.
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