What Automation Can Do for Your SOC

Learn how LogRhythm's SOAR capabilities automate all too common security operations tasks and in turn help better utilize your analysts' time.

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A CTO's Take on the Security Operations Maturity Model

When we set out to redefine what security information and event management (SIEM) needed to be, our mission was quite simple — help organizations better...

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LogRhythm’s Road to Scalable Cloud Analytics

As a security company, our first priority is sharing relevant tools and content to make sure you can detect to respond to threats faster and more efficiently. To make this happen, there’s a lot that goes on behind the scenes; today, we’d like to give you a glimpse into the activities of our engineering team.

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R&D Considerations for Developing a Big Data Product

Big data — it’s all the rage in the technology industry right now, and for good reason. Data holds information that, if analyzed properly, reveal invaluable insights that you can use for just about anything — from streamlining internal processes to delivering better health care. But given the potential complexity of its use cases, big data products take a lot of work and planning to execute properly. LogRhythm has first-hand experience with big data products, given our development of CloudAI. LogRhythm CloudAI combines a wide array of behavioral models with artificial intelligence (AI) and machine learning (ML) to detect and characterize shifts in how users interact with the IT environment. This helps security teams detect hidden and advanced threats.

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