Learn what types of attacker activity are most common and how better visibility helps you identify suspicious network behaviors. Also uncover the "suspicious seven": the top questionable activities that every security team needs to be able to see.
This white paper examines several use cases for monitoring hybrid cloud infrastructures and best practices for ensuring delivery of network applications and services in the cloud. Access now to explore the expanding list of IT operations taking place on infrastructure you don't own.
Explore a network monitoring dashboard that provides not only depth but also breadth of understanding about your network performance. By getting more granular information about your network activity you can make more sophisticated plans and prepare more nuanced reports – and solve problems faster.
Learn about the latest advances in SIEM and how to best use existing technology from our experts. Reading this guide will help you spruce up your security and make your SIEM more effective than ever.
This white paper examines how machine learning anomaly detection can cut through the vast amounts of periodicity to reveal the true abnormal and potentially malicious behavior within your network/systems. Read on and discover how to accurately locate deviations in expected network behavior.
This detailed blog post describes how an API engine for anomaly detection can achieve high performance with summarized input. Read on to find examples of how to write job configurations to send pre-summarized data to this API.
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