Search results
May 10, 2024 · Splunk uses what’s called Search Processing Language (SPL), which consists of keywords, quoted phrases, Boolean expressions, wildcards (*), parameter/value pairs, and comparison expressions. Unless you’re joining two explicit Boolean expressions, omit the AND operator because Splunk assumes the space between any two search terms to be AND.
May 10, 2024 · The “Splunk Forwarding” port of 9997 is a great example. For Splunk Enterprise, it is not a default, yet almost every environment uses it. Default – Immutable: This is a caveat for default ports where the user cannot modify the port. We find these mostly in managed services such as Splunk Cloud.
May 22, 2024 · Splunk ITSI stands out in its versatility, capable of adapting to various business models from enterprises with distributed digital assets to cloud-native e-commerce organisations. This adaptability is crucial in an era where customers interact through both digital and in-person channels and expect seamless experiences.
May 14, 2024 · As the name implies, vector databases store and handle vectors efficiently. Vector data are arrays of numbers representing various features of objects, like images, text, or audio clips. High-dimensional. They excel in working with high-dimensional data, making it possible to store and query vectors with hundreds or even thousands of dimensions.
May 23, 2024 · The Splunk Threat Research Team is an active part of a customer’s overall defense strategy by enhancing Splunk security offerings with verified research and security content such as use cases, detection searches, and playbooks.
May 16, 2024 · A Foundation Model is a general class of generative AI models that is trained on large data assets at scale. A foundation model must have the following key properties: Scalable. The model architecture can efficiently train on large volumes of multidimensional data. Foundation models can fuse knowledge from multimodal data about a downstream ...
May 6, 2024 · Splunk is a powerful tool used in the field of cyber security for log monitoring, data analysis, threat detection, and incident response. It helps organizations to collect, index, and analyze large volumes of data from various sources in real-time, enabling them to identify and mitigate security threats effectively.
