AI-powered observability enhancements have been introduced by Cisco, with updates to Splunk Observability utilizing Cisco AgenticOps. These AI agents automate telemetry collection, detect issues, identify root causes, and apply fixes for enterprise customers. The integration of business and machine data enables organizations to correlate technical issues with business impact and provide observability into the behavior and performance of AI systems and agents.
Cisco is focused on bringing together Splunk AppDynamics and Splunk Observability Cloud, while deepening integration with Cisco ThousandEyes. This integration allows enterprise teams to better pinpoint the network’s impact on application performance and end-user experience. Features such as AI-Directed Troubleshooting, Event IQ, ITSI Episode Summarization, AI Agent Monitoring, and AI Infrastructure Monitoring are designed to help teams investigate and resolve issues faster.
With AI-driven alert correlation, episode summarization, and AI agents for detection, troubleshooting, and remediation, agentic AI capabilities across the Splunk Observability portfolio enable teams to understand, troubleshoot, and resolve business-impacting incidents faster. This advancement in observability technology is set to revolutionize incident detection, root-cause analysis, and routine fixes for enterprise customers.
