Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In today's complex network environments, ensuring complete visibility while optimizing resource utilization is paramount. Duplicate network traffic can overwhelm your monitoring infrastructure, create redundant alerts for SecOps, consume valuable storage, and obscure critical insights, making it harder for Network Detection and Response (NDR) solutions to spot genuine threats or anomalies. Network Packet Brokers often offer deduplication as a feature but it can add complexity and cost.

In the rapidly evolving landscape of large language models (LLMs), the ability to access and synthesize vast amounts of information is paramount. While LLMs excel at generating creative text and understanding complex prompts, their knowledge is often limited to the data used during their training. This is where knowledge bases (a.k.a.

The Gordian knot of any detection strategy is knowing that two conflicting ideas are both true. On one hand, every SOC needs as much accurate detection coverage as they can get to find and disrupt attacks. On the other, the attackers you REALLY care about will find a way to bypass those detections so you need the ground truth of the attacker behavior on your network. The only answer is to have both: the absolute best data and the broadest detection suite possible on top of it.

Endpoint Detection and Response (EDR) and Security Information and Event Management (SIEM) have become integral to modern SecOps architecture and threat detection capabilities. However, the urgency of the situation is clear—attackers are deploying increasingly sophisticated techniques to bypass threat detection centered on these systems.

We’re thrilled to announce that Corelight has been ranked a Leader and Outperformer in the 2025 GigaOm Radar for Network Detection and Response (NDR) Solutions. NDR solutions are essential for continuous real-time monitoring and analysis of network traffic. Corelight's Open NDR excels at detecting known and unknown threats across on-premises, cloud, and hybrid environments, leveraging cutting-edge technologies such as artificial intelligence, machine learning, and behavioral analytics.

Network Detection and Response (NDR) has emerged as a must-have capability of modern security operations (SecOps). NDR provides deep visibility, detection of advanced threats that evade other security tools, and rapid response capabilities to address the SecOps challenges of incomplete visibility, detection gaps, high SIEM and storage costs, and tool sprawl that impact accuracy, speed, and efficiency.

Whether they use custom implants for persistence, zero days for initial access, or live off the land (LOTL) to avoid detection, finding a state-sponsored adversary group can be a challenging proposition for defenders. This can be particularly true for adversaries that are sponsored by the People’s Republic of China (PRC). Historically, their focus has been on espionage and intellectual property theft.

For every advancement in defense, attackers supply the equal and opposite adaptation. In the last few years EDRs have become so effective that adversaries have radically shifted gears. That shift shows up unmistakably in three heavyweight reports—Verizon’s DBIR, Mandiant’s M-Trends, and CrowdStrike’s Global Threat Report. Here’s how I’m stitching their data together.

Let’s face it: The cloud has become the go-to platform for modern infrastructure—and for good reason. Scalability, flexibility, and speed are hard to beat. But as organizations increasingly rely on the cloud to run their critical operations, the threat landscape is evolving just as fast. And attackers? They’re getting smarter, stealthier, and more cloud-savvy by the day. That’s why monitoring cloud network traffic is no longer optional—it’s essential.

Security operations centers (SOCs) are under constant pressure to keep their organizations secure, while battling alert fatigue, tool sprawl, and ever-rising demands for speed and precision. Analysts today face an overwhelming landscape where context is thin, telemetry is inconsistent, and critical signals are buried in noise. At Corelight, we’re focused on one simple idea: Your network evidence should work wherever your SOC team does.