labs
LLMs in the SOC (Part 1) | Why Benchmarks Fail Security Operations Teams
LLM cybersecurity benchmarks fail to measure what defenders need: faster detection, reduced containment time, and better decisions under pressure.
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LLM cybersecurity benchmarks fail to measure what defenders need: faster detection, reduced containment time, and better decisions under pressure.
Learn how attackers exploit tokenization, embeddings and LLM attention mechanisms to bypass LLM security filters and hijack model behavior.
LLMs make competent ransomware crews faster and novices more dangerous. The risk is not superintelligent malware, but rather industrialized extortion.
LLM-enabled malware poses new challenges for detection. SentinelLABS presents groundbreaking research on how to hunt for this new class of threats.
DPRK-aligned threat actors abuse CTI platforms to detect infrastructure exposure and scout for new assets.
NimDoor shows how threat actors are continuing to explore cross-platform languages that introduce new levels of complexity for analysts.
FreeDrain is a modern, scalable phishing operation exploiting weaknesses in free publishing platforms to steal cryptocurrency on a global scale.
AkiraBot uses OpenAI to generate custom outreach messages to spam chat widgets and website contact forms at scale.