Effective threat detection is critical to achieving a mature cybersecurity posture. Yet with so many threat detection options on the market, from managed detection and response (MDR) to managed security service providers (MSSPs) to security information and event management (SIEM), choosing the most effective one for your organization can be challenging.

At Corelight, we’re always striving to make the life of threat hunters and security analysts a little easier. It’s the reason we developed our Open NDR Platform that provides comprehensive, correlated network data and forensic evidence about everything happening on the network. If you’re familiar with Corelight, you probably already know that.

The explosion of interest in artificial intelligence (AI) and specifically large language models (LLMs) has recently taken the world by storm. The duality of the power and risks that this technology holds is especially pertinent to cybersecurity. On one hand the capabilities of LLMs for summarization, synthesis, and creation (or co-creation) of language and content is mind-blowing.

It doesn't matter if you have a smartphone, a tablet, a laptop, or a desktop computer. Whatever your computing device of choice, you don't want it impacted by malware. And although many of us are familiar with the concept of protecting our PCs and laptops with security software that aims to identify attacks in real-time, it's not a defence that is as widely adopted on mobile devices.