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Splunk Blogs
Security
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Splunk's State of Security 2025: The Stronger, Smarter SOC of the Future reveals the insights, aspirations, and challenges of security leaders.

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Security 5 Min Read

From Instinct to Insight: Why Metrics Are Essential to Threat Hunting Success

Splunker Tamara Chacon explores why metrics are critical to threat hunting success.

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).
Learn 4 Min Read

What Is Extortionware? Going Beyond Ransomware

Learn what extortionware is, how it works, its impact, and how to protect your business from data leaks and reputational damage.

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.

How To Use Splunk To Monitor Security of Local LLMs (Part I)

Learn how to use Splunk to monitor the security of local Large Language Models (LLMs) like Llama and GPT4ALL.
Learn 6 Min Read

Cloud Cost Management & Trends in 2025: Strategies to Optimize Your Cloud Spend

Managing cloud costs isn’t easy. But it can be a lot simpler if you follow these expert tips and tools. Get the full story here.
Learn 6 Min Read

LLM Monitoring: A Comprehensive Guide on the Whys & Hows of Monitoring Large Language Models

Discover the ultimate guide to monitoring Large Language Models (LLMs). Learn the whys, hows, key metrics, and strategies for safe and reliable performance.
Security 4 Min Read

Splunk Security Content for Threat Detection & Response: May 2025 Update

Learn about the latest security content from Splunk.
Learn 8 Min Read

What is Predictive Modeling? An Introduction

Learn the fundamentals of predictive modeling, its role in analytics, and its applications in IT, cybersecurity, business, and advanced machine learning.