Learn how to detect malware that generates code at runtime. SentinelLABS reveals hunting techniques and how to uncover novel AI-enabled threats.

This presentation explores the emerging threat of LLM-enabled malware, where adversaries embed Large Language Model capabilities directly into malicious payloads. Unlike traditional malware, these threats generate malicious code at runtime rather than embedding it statically, creating significant detection challenges for security teams. Introduction to Malware Binary Triage (IMBT) Course Looking to level up your skills? Get 10% off using coupon code: MWNEWS10 for any flavor. Enroll Now and Sa...

In this LABScon25 talk, Dreadnode’s Martin Wendiggensen and Brad Palm explore how AI is changing Cyber Threat Intelligence and the research practices that support it. Introduction to Malware Binary Triage (IMBT) Course Looking to level up your skills? Get 10% off using coupon code: MWNEWS10 for any flavor. Enroll Now and Save 10%: Coupon Code MWNEWS10 Note: Affiliate link – your enrollment helps support this platform at no extra cost to you. Analytical tradecraft and shared standards have ...

LLM-enabled malware poses new challenges for detection. SentinelLABS presents groundbreaking research on how to hunt for this new class of threats.