Artificial Intelligence Blogs
Artificial Intelligence
3 Min Read
Splunker Kyle Prins covers the three main usages of the Splunk AI Assistant for SPL.
Latest Articles
Using RAG, Splunk ES Content Update App (ESCU), and MLTK to Develop, Enhance, and Analyze Splunk Detections
Learn how to enhance Splunk security detections using a local Llama3 LLM, RAG, MLTK, and ESCU.
Advance your AI solutions with the Splunk App for Data Science and Deep Learning 5.2.1
Advance your AI with Splunk App for Data Science and Deep Learning 5.2.1. Experience enhanced LLM integrations, flexible AI stack configs, faster search result caching, schema unification, new graph DB support, and improved reliability for powerful, customizable AI solutions.
Introducing Splunk AI Assistant for SPL Through a Cloud Connected Solution: On-Prem AI Without the GPU Hassle
Announcing the general availability of Splunk AI Assistant for SPL (SAIA) through a cloud connected solution.
Using Splunk to Develop Local LLM MCP Mitre Atlas Detections
This comprehensive guide covers setting up a dockerized lab, log management, and detection strategies to secure AI-enabled systems against real-world threats.
Unlock the Power of Splunk Cloud Platform with the MCP Server
Announcing the MCP (Model Context Protocol) server in Splunk Cloud Platform, bridging the gap between Splunk’s robust data analytics capabilities and the power of AI reasoning and automation.
Using Splunk to Monitor the Security of MCP Servers
Learn how to use Splunk to monitor MCP Server security.
Faster Insights with Third-Party LLM Services in Splunk Search
Splunker Greg Ainslie-Malik takes you through the steps to integrate LLM services with Splunk using MLTK 5.6 and provides use case ideas to get you started.
How to Use Splunk to Monitor Security of Local LLMs (Part II)
Learn how to use Splunk to monitor and defend your local Large Language Models (LLMs).
Accelerating Security Operations with Splunk and Foundation AI’s First Open-Source Security Model
Cisco Foundation AI’s Foundation-sec-8b model brings a new wave of innovations and efficiency to security operations. As a purpose-built, open-weight Large Language Model (LLM) designed specifically for cybersecurity, Foundation-sec-8b enables security teams to act faster, reduce fatigue, and scale operations without compromising accuracy.
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