Splunk released Cisco Time Series Model, an open-weight Transformer-based foundation model for time-series analysis, available on Huggingface. In this blog post, we explore how the model is seamlessly integrated with your data in Splunk leveraging the Splunk App for Data Science and Deep Learning.

The Cisco Time Series Model is open-weight time series foundation model that can be easily deployed for reliable forecasting across observability and security operations, automations, and agentic workflows.

MachineGPT is foundational to the rise of Agentic AI in the enterprise, which is poised to fundamentally reshape digital operations – and it's advancing faster than we expected.

Announcing the latest release of the Splunk AI Assistant for SPL 1.4 – now available.

Splunk and Dataminr deliver real-time intelligence and automated response to help organizations anticipate threats, reduce noise, and strengthen cyber resilience.

Unlock AI with the our beginner's field guide. Demystify LLMs, Generative AI, and Agentic AI, exploring their evolution and critical cybersecurity applications.

Splunk’s AI Toolkit helps teams predict incidents, reduce downtime, and achieve digital resilience at enterprise scale.

Smart alerting is the way to get reliable signals from your synthetic tests. Learn how to set up and use smart alerts for better synthetic signaling.

The OneCisco approach is not about any single platform or toolset; it's about fusing visibility, analytics, and automation into a shared source of operational truth so that teams can act decisively, even in the fog of crisis.