Discover expert resources and ML Security best practices.
You're invited to join us as we drive forward the field of Machine Learning Security Operations, also known as MLSecOps.
Come here to build, hear from experts in the field of MLSecOps, discuss, and collaborate. Take away new insights, tools, inspiration, and significant connections.
MLSecOps stands for “Machine Learning Security Operations”
MLSecOps is the next evolution of building AI apps.
MLSecOps places security at the core of the ML Life Cycle.
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MLSecOps merges traditional security and new concepts.
Explore the world of machine learning security operations, aka, MLSecOps. From preventing attacks to navigating new AI regulations, we'll dive into the latest developments, strategies, and best practices with industry leaders and AI experts.
This is MLSecOps.
Indirect Prompt Injections and Threat Modeling of LLM Applications
May 24, 2023 • 29 min read
This episode makes it increasingly clear. The time for machine learning security operations - MLSecOps- is now. In this episode we dive deep into the...
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Responsible AI: Defining, Implementing, and Navigating the Future
May 18, 2023 • 23 min read
In this episode of The MLSecOps Podcast, Diya Wynn, Sr. Practice Manager in Responsible AI in the Machine Learning Solutions Lab at Amazon Web...
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ML Security: AI Incident Response Plans and Enterprise Risk Culture
May 10, 2023 • 29 min read
In this episode of The MLSecOps Podcast, Patrick Hall, co-founder of BNH.AI and author of "Machine Learning for High-Risk Applications," discusses...
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AI Audits: Uncovering Risks in ML Systems
May 03, 2023 • 25 min read
Shea Brown, PhD explores with us the “W’s” and security practices related to AI and algorithm audits. What is included in an AI audit? Who is...
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