SANS Institute

Adopting a Unified Cyber Risk Lifecycle: Benefits Across Your Attack Surface

Over the last five years, most organizations have seen their exploitable attack surface grow dramatically as new processes — such as cloud-native software development — become mainstream. These changes have led to an explosion of new systems used to build applications and new security tools needed to scan them for vulnerabilities. Outdated approaches to vulnerability management simply can’t keep up.

LLM時代のサイバーセキュリティ：リスク、機会、AIを活用した情報セキュリティの将来性

大規模言語モデル（LLM）と生成AIの急速な発展に伴い、サイバーセキュリティの世界はパラダイムシフトを経験しています。これらの技術がますます高度化する中、組織は強固なセキュリティ体制を維持するためには、潜在的な脅威とベストプラクティスについて常に情報を得ることが不可欠となります。

Cybersecurity in the Age of LLM: Risks, Opportunities, and the Future of AI-Driven Information Security

With the rapid development of large language models (LLM) and generative AI, the landscape of cybersecurity has experienced a paradigm shift. In this one-hour webcast, we will delve into the emerging information security risks and opportunities associated with LLM and cyber deception operations. As these technologies become increasingly sophisticated, it is imperative for organizations to stay informed about potential threats and best practices in order to maintain a strong security posture.