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OWASP Top 10 for LLMs: Unveiling the Hidden Dangers of AI

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Manage episode 449822689 series 3604885
内容由CISO Marketplace提供。所有播客内容(包括剧集、图形和播客描述)均由 CISO Marketplace 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
Large Language Models (LLMs) are revolutionizing the world, powering everything from chatbots to content creation. But as with any new technology, there are security risks lurking beneath the surface. Join us as we explore the OWASP Top 10 for LLMs, a guide that exposes the most critical vulnerabilities in these powerful AI systems. We'll break down complex security threats like prompt injection attacks, data poisoning, and the dangers of insecure code generation. Discover how malicious actors can manipulate LLMs to steal sensitive information, spread misinformation, and even take control of your applications. Our expert guest, [Guest Name], will share real-world examples and practical solutions to safeguard your LLM applications. Learn how to implement robust security measures, from input validation and access control to model monitoring and incident response planning. Tune in to gain a deeper understanding of the potential risks and actionable strategies for protecting your AI systems in this era of LLMs.
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Artwork
icon分享
 
Manage episode 449822689 series 3604885
内容由CISO Marketplace提供。所有播客内容(包括剧集、图形和播客描述)均由 CISO Marketplace 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
Large Language Models (LLMs) are revolutionizing the world, powering everything from chatbots to content creation. But as with any new technology, there are security risks lurking beneath the surface. Join us as we explore the OWASP Top 10 for LLMs, a guide that exposes the most critical vulnerabilities in these powerful AI systems. We'll break down complex security threats like prompt injection attacks, data poisoning, and the dangers of insecure code generation. Discover how malicious actors can manipulate LLMs to steal sensitive information, spread misinformation, and even take control of your applications. Our expert guest, [Guest Name], will share real-world examples and practical solutions to safeguard your LLM applications. Learn how to implement robust security measures, from input validation and access control to model monitoring and incident response planning. Tune in to gain a deeper understanding of the potential risks and actionable strategies for protecting your AI systems in this era of LLMs.
  continue reading

93集单集

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