• Black Basta and the Use of LLMs by Threat Actors

  • Aug 28 2024
  • Duración: 24 m
  • Podcast

Black Basta and the Use of LLMs by Threat Actors

  • Resumen

  • In this episode of the Microsoft Threat Intelligence Podcast host Sherrod DeGrippo is joined by Microsoft security researchers Anna Seitz and Daria Pop to discuss the latest trends in ransomware and the evolving role of AI in cyber threats. Daria Pop provides insights into the shifting tactics of Black Basta ransomware, including their use of phishing, social engineering, and remote management tools. The discussion also covers the persistence of malvertising and its challenges for defenders. Anna Seitz explores how state-sponsored threat actors, including Forest Blizzard, Emerald Sleet, and Crimson Sandstorm, are leveraging large language models (LLMs) for various malicious activities. In this episode you’ll learn: Why the takedown of Qakbot impacted Black Basta’s strategies What malvertising is and why its persistence is due to the complex nature of ad traffic How the MITRE Atlas framework assists defenders in identifying new threats Some questions we ask: What role does social engineering play in the campaigns involving Quick Assist? How are North Korean threat actors like Emerald Sleep using LLMs for their campaigns? Can you explain the changes in Black Basta’s initial access methods over the years? Resources: View Anna Seitz on LinkedIn View Daria Pop on LinkedIn View Sherrod DeGrippo on LinkedIn Related Microsoft Podcasts: Afternoon Cyber Tea with Ann Johnson The BlueHat Podcast Uncovering Hidden Risks Discover and follow other Microsoft podcasts at microsoft.com/podcasts Get the latest threat intelligence insights and guidance at Microsoft Security Insider The Microsoft Threat Intelligence Podcast is produced by Microsoft and distributed as part of N2K media network.
    Más Menos
activate_Holiday_promo_in_buybox_DT_T2

Lo que los oyentes dicen sobre Black Basta and the Use of LLMs by Threat Actors

Calificaciones medias de los clientes

Reseñas - Selecciona las pestañas a continuación para cambiar el origen de las reseñas.