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.
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.
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.
Mick Baccio shares the findings of Splunk's report – conducted in collaboration with Foundry – on bridging the resilience gap across public and private sectors.
Understand how databases and data warehouses work, how they vary and when to use which – all in this beginner’s guide to data warehousing and databases.
Discover how IoT monitoring transforms businesses with real-world examples, benefits like efficiency, predictive maintenance, cost savings, and enhanced security.
In this blog post we are going to show you how you can connect Splunk data with LLMs to interact with them, based on the way Zeppelin, a global leader in sales and services for construction machinery, power systems, rental equipment and plant engineering, achieved this.
Of all industries, manufacturing is the one targeted the most by cybercriminals. Why? One of the key reasons is that it is relatively easy since most manufacturers simply have no OT Security in place. Read on to learn how to build resilience with a secure factory and why it is a good idea to have an OT Security avenger in a plant manager's team.
Any software company relies on the work of its developers. Make sure your developers are having the best experience possible: learn all about DevEx here.
Splunk Social Impact is tackling the Data Divide—the gap between the growing use of data to drive commercial success and its limited application in addressing pressing social and environmental challenges.