Evaluating AI systems at Corelight
Learn how Corelight Labs evaluates AI systems for network detection using custom harnesses, LLM-as-judge methods, and curated security datasets.
Learn how Corelight Labs evaluates AI systems for network detection using custom harnesses, LLM-as-judge methods, and curated security datasets.
See how a Black Hat music trivia game exposed unencrypted traffic, weak validation, and the value of network visibility.
BitRAT hides its C2 over HTTPS, but a default SSL certificate gives it away. See how to detect it with Zeek, Suricata, and SIEM queries.
Learn how Corelight detects ScoutC2 malware using Zeek, SIEM queries, and Suricata rules for distinctive HTTP paths, methods, headers, and payload...
At Black Hat Asia, everyday IoT devices exposed authentication tokens and credentials over cleartext HTTP, showing what the network sees but...
At Black Hat Europe 2025, we used agentic AI to autonomously decode messy traffic and uncover sensitive leaks that standard hunts missed.
During Black Hat Europe 2025, I had the honor to join our team of “firefighters” at the Black Hat NOC and feel the heat for real.
Ground your defense against React2Shell in verifiable network evidence. Deploy high-fidelity Suricata detections to spot unauthenticated remote code...
Learn how to hunt F5 BIG-IP exploitation when no PoCs exist: spot Client Authentication Bypass, baseline incoming SSH, and detect SSH imposters.