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This year's Black Hat USA focuses on the intersection of AI and cloud security, highlighting the vulnerabilities associated with large language models (LLMs) and the increasing attacks on hyperscale cloud vendors. Presentations will cover practical security measures for LLMs and critical vulnerabilities found in AWS and Google Cloud Platform (GCP). The event aims to equip Chief Information Security Officers (CISOs) with essential insights to navigate legal liabilities and emerging threats.
Key speakers include Richard Harang from NVIDIA, who will share best practices for securing LLMs, and researchers from Aqua Security and Tenable, who will discuss vulnerabilities in AWS and GCP. The discussions will emphasize the urgent need for improved security standards in AI technologies and cloud services, as enterprises face rising cyber threats. Overall, the event serves as a crucial platform for addressing the evolving landscape of cybersecurity challenges.
• LLMs face security challenges as standards lag behind technology advancements.
• Critical vulnerabilities in AWS and GCP highlight urgent cloud security needs.
LLMs are foundational for many AI applications, but their security is currently inadequate.
The increasing reliance on cloud services has made cloud security a top priority for enterprises.
RCE vulnerabilities discovered in AWS could lead to full account takeovers.
NVIDIA's expertise in LLMs positions it at the forefront of AI security discussions.
Aqua Security's research on AWS vulnerabilities underscores the importance of cloud security.
Tenable's findings on GCP vulnerabilities highlight critical security risks in cloud environments.
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