Corelight Recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for Network Detection and Response

Corelight Recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for Network Detection and Response

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Detect and disrupt evasive threats with high-fidelity, multi-layered detection.

Detect and disrupt evasive threats with high-fidelity, multi-layered detection.

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Detect advanced attacks with Corelight

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Corelight announces cloud enrichment for AWS, GCP, and Azure

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Corelight's partner program

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10 Considerations for Implementing an XDR Strategy

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Don't trust. Verify with evidence

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2025 Gartner® Magic Quadrant for NDR

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Detecting 5 Current APTs without heavy lifting

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Network Detection and Response

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Network Detection Response

Empowering your LLMs: Unlocking cybersecurity queries with Open WebUI knowledge bases

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... Read more »

Data driven detection: Corelight’s approach to AI-powered NDR

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... Read more »

How to threat hunt for Volt Typhoon using NDR

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... Read more »

Leveraging map-reduce and LLMs for enhanced cybersecurity network detection

In my security research role at Corelight, I often have to go through large, complex data sets to detect subtle anomalies and threats. It reminds me of a famous quote by Abraham Lincoln: Read more »

How metadata wrestled control of FINRA’s colossal data archiving requirements

The financial industry is known for its rigorous and sometimes quirky data retention requirements that can challenge even the most seasoned security expert. Read more »

Quick FIX® log management: How metadata simplifies financial protocol tracking (and how Corelight’s platform can help)

Financial institutions, such as banks and trading houses, have a strong interest in recording key transaction activity within their networks. In the face of daunting data storage requirements, many are finding that Corelight’s network... Read more »

For Science! – Threat hunting with SCinet at SC24

Introduction In November 2024, I participated in SCinet with the Network Security team at SC24. My job was supporting Corelight sensors and threat hunting using the data the sensors produced. Read more »

Running DeepSeek AI privately using open-source software

Introduction Zeek® is a powerful open-source network analysis tool that allows users to monitor traffic and detect malicious activities. Users can write packages to detect cybersecurity events, like this GitHub repo that detects C2 from AgentTesla... Read more »

Corelight delivers data aggregation to reduce SIEM ingest by 50-80% compared to legacy network security monitoring tools

According to Forrester Research, “How do we reduce our SIEM ingest costs?” is one of the top inquiries they receive from clients. Many security organizations rely on SIEMs for their detection, investigation, and response workflows, ingesting... Read more »

Understand and detect MITRE Caldera with Zeek®

What is MITRE Caldera? MITRE’s Caldera is a cybersecurity platform developed to simulate adversarial tactics, techniques, and procedures (TTPs). Built upon the MITRE ATT&CK framework, Caldera is an open-source tool designed to help cybersecurity... Read more »