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Leadership
3 Min Read
Splunk's CISO Report explores the gaps between CISOs and their boards, and shares best practices to help CISOs reach across the aisle.

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Latest Articles

Security 4 Min Read

Unified Strategies Across IT and Security for Cutting-Edge Detection, Investigation and Response

Splunk's Mike Horn shares a closer look at the value of a unified approach to security and observability.
Observability 5 Min Read

Splunk and the Four Golden Signals

A discussion of applying the Four Golden Signals of Monitoring to a Splunk monitoring use case.
Learn 8 Min Read

IT Orchestration vs. Automation: What’s the Difference?

Navigate IT orchestration & automation in complex environments. Learn differences, benefits & best practices for streamlined operations & digital transformation.
Observability 3 Min Read

Code, Coffee, and Unity: How a Unified Approach to Observability and Security Empowers ITOps and Engineering Teams

Splunk's Spiros Xanthos explores the pivotal role that a unified security and observability approach plays in empowering ITOps and engineering teams to ensure digital resilience faster.
Industries 4 Min Read

Cloud Security and Data Resilience in Government

A review of the legislative and policy landscape regarding cloud security and data resilience.
Security 8 Min Read

Detecting Lateral Movement Using Splunk User Behavior Analytics

The blog is to introduce lateral movement detection using Splunk User Behavior Analytics (UBA)
Splunk Life 4 Min Read

Splunk’s 2025 HBCU Academic Scholarship

Splunk is delighted to offer the Splunk HBCU Academic Scholarship for 2025.
Security 1 Min Read

Integrated Intelligence Enrichment With Threat Intelligence Management

Threat Intelligence Management enables analysts to fully investigate security events or suspicious activity by providing the relevant and normalized intelligence to better understand threat context and accelerate time to triage.
Platform 13 Min Read

Developing the Splunk App for Anomaly Detection

A technical overview of the Splunk App for Anomaly Detection, which uses machine learning to automatically configure anomaly detection jobs on time series data.