Anyone tracking the evolution of the IT industry is probably familiar with the concept of Industry 4.0. Essentially, it describes the process by which traditional industrial tasks become both digitized and continually managed in an IT-like fashion via modern technologies like cloud computing, digital twins, Internet of Things (IoT) sensorization, and artificial intelligence/machine learning.

Your cybersecurity team walks into the office, and their day is instantly taken off the rails. They get an alert informing them that something on the network is acting suspiciously. It isn’t necessarily a threat, but they don’t have the tools to know for sure. After looking into it, they learn that a SaaS provider for one of their departments delivered an update that caused a service degradation. Thankfully, it isn’t an attack.

I’ve been working with Splunk customers around the world for years to help them answer security questions with their data. And, like you probably know, sometimes it’s hard to know where to start for specific security use cases. We all know Splunk’s data platform is capable of delivering incredible analytics and insights at scale, but how do we tie that power with all of the content and premium solutions for security that Splunk provides?

Observability is one of the biggest trends in technology today. The ability to know everything, understand your system, and analyze the performance of disparate components in tandem is something that has been embraced by enterprises and start-ups alike. What additional considerations need to be made when factoring in cyber resiliency? A weekly review of the headlines reveals a slew of news covering data breaches, insider threats, or ransomware.