From the course: Securing Generative AI: Strategies, Methodologies, Tools, and Best Practices
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Exploring the MITRE ATLAS™ (adversarial threat landscape for artificial intelligence systems) framework
From the course: Securing Generative AI: Strategies, Methodologies, Tools, and Best Practices
Exploring the MITRE ATLAS™ (adversarial threat landscape for artificial intelligence systems) framework
- [Instructor] In this section, we're going to go over the MITRE ATLAS framework, and ATLAS stands for Adversarial Threat Landscape for Artificial Intelligence Systems. However, before we go over Atlas, I would like to at least introduce the MITRE ATT&CK framework. If you're not familiar with MITRE ATT&CK framework, I strongly recommend for you to review this if you want to actually start in cybersecurity. Basically what it is, is a collection of the tactics and techniques that attackers use in real life attacks against many different systems, networks, whether applications are on premise or in the cloud. They also have a lot of techniques and sub techniques for networking devices, for industrial control systems, mobile devices, and so on. So if you look at this matrix, if you will, in the top here, you see basically the day in the life of an attack. From reconnaissance and if I actually go all the way to the right in here, you see that it goes all the way to impact. So you have many…
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Learning objectives1m 18s
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Understanding the significance of LLMs in the AI landscape7m 6s
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Exploring the resources for this course: GitHub repositories and others2m 54s
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Introducing retrieval augmented generation (RAG)12m 24s
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Understanding the OWASP Top 10 risks for LLMs5m 46s
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Exploring the MITRE ATLAS™ (adversarial threat landscape for artificial intelligence systems) framework5m 38s
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Understanding the NIST taxonomy and terminology of attacks and mitigations7m 8s
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