Splunk announces innovations across its observability portfolio to provide organizations deeper visibility into their network health through integrations with Cisco, and faster troubleshooting with the help of AI.
Splunk's 'The New Rules of Data Management: Creating Value in the AI Era' report captures trending shifts in data management and examines how organizations are structuring — and should be potentially rethinking — their data strategies.
Remote Employment Fraud actors don’t steal credentials—they’re issued them. This blog explores early detection and why security can’t face this threat alone.
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Our Splunk security experts share their favorite reads of the month so you can follow the most interesting, news-worthy, and innovative stories coming from the wide world of cybersecurity.
Learn how Splunk Global Security runs ops at scale and enables the business by focusing on what matters—solving problems through data, automation, and collaboration.
Large language models have changed the world. What about small language models? Learn what SLMs are, how they differ from LLMs, and why SLMs are the future.
Telemetry is powerful data that can tell you all sorts of important information. Know what you can do with this useful data — get the full telemetry 101 here.
Explore how modern SIEM solutions tackle scalability, alert fatigue, and advanced threat detection with automation, machine learning, and real-time insights for efficient SOC workflows.
When performing searches, Splunk uses its own language, SPL (Search Processing Language). In this article, we will explain each type of SPL and show you the efficient order in which to run searches and how to use the Search Job Inspector, an investigative tool.
Business resilience is a key trend this year, so let’s outline the differences between business continuity and resilience. Hint: one’s a process, one is much more.
Understand time series forecasting — a way to or predict behaviors based on historical, timestamped data — with anomaly detection to prevent IT problems.
Data analysis is important, but how do you get started? These top techniques, used by professional data analysts, will help you get the most value out of your data.