Cisco, through its Splunk subsidiary acquired in March 2024, offers AI-powered observability tools that analyze machine data, logs, and telemetry from IT infrastructure to detect anomalies, identify root causes of incidents, and predict future performance trends — enabling IT and security operations teams to respond to issues faster.

Splunk Observability Cloud and Splunk IT Service Intelligence (ITSI) use machine learning to perform anomaly detection, event correlation, and predictive analytics across infrastructure metrics, application traces, and security logs. Cisco and Splunk also released the Cisco Time Series Model in late 2025 — an open-weight AI foundation model pretrained on over 300 billion data points from Cisco and Splunk's observability infrastructure — which can generate forecasts for any time-series metric without requiring task-specific training. Additionally, Splunk's Machine Learning Toolkit 5.6 allows customers to connect external large language models directly into the Splunk search interface to query and analyze their operational data in natural language.