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Protect AI Democratizes AI Security Training with Free MLSecOps Foundations Online Learning

Sam Marten – Tech & AI Writer by Sam Marten – Tech & AI Writer
March 2, 2025
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Protect AI Democratizes AI Security Training with Free MLSecOps Foundations Online Learning
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Four-Part Video Series Teaches How to Build Security into Machine Learning and AI Lifecycles

Protect AI, a leading artificial intelligence (AI) and machine learning (ML) security company, has announced the availability of MLSecOps Foundations, a free four-part video training and certification program on how to build security into AI/ML led by its CISO Diana Kelley.

What is MLSecOps Foundations?

The MLSecOps Foundations program equips organizations with the essential knowledge and practical strategies needed to seamlessly integrate AI security into their processes, empowering teams to proactively address emerging threats in the AI/ML landscape. This foundational training resource is part of Protect AI’s ongoing commitment to helping companies build robust security measures from the ground up into their AI systems, including the MLSecOps community and open source tools.

Curriculum and Training

Designed for AI users, developers, and security teams, MLSecOps Foundations is a four-part curriculum that spans 20 bite-sized modules (average length 3 minutes) covering AI security issues and prevention strategies as well as how to implement them using the MLSecOps framework. The on-demand MLSecOps Foundations content can be viewed 24/7 on any device.

Expert Guidance

The training program is led by renowned cybersecurity expert Diana Kelley, Chief Information Security Officer (CISO) for Protect AI. With a wealth of experience in the field, including stints at Microsoft, IBM, Symantec, and more, Diana brings a wealth of knowledge to the program.

Why is MLSecOps Foundations Important?

"AI/ML security threats are no longer theoretical. An active attack targeting a vulnerability in Ray, a widely used open-source AI framework, has already affected thousands of companies and servers running AI infrastructure," said Diana Kelley, CISO for Protect AI. "MLSecOps Foundations is designed to provide a comprehensive overview of how to build security into AI and ML using an MLSecOps framework, and explains how and where security can be woven into ML pipelines."

What Will You Learn?

Viewers will learn and, upon completion, earn a certificate on how to:

  • Secure ML models
  • Conduct AI-aware risk assessments
  • Audit and monitor supply chains
  • Implement incident response plans
  • Build an MLSecOps dream team
  • Help their organizations proactively secure their AI and ML systems

Get Started Today

For information and to register for the training program, visit the MLSecOps Foundations homepage.

Conclusion

In today’s fast-paced AI and ML landscape, security is no longer a luxury, but a necessity. With MLSecOps Foundations, organizations can take the first step towards building robust security measures from the ground up. Don’t miss this opportunity to learn from the experts and take your organization’s AI security to the next level.

FAQs

  • Q: Who is this training program designed for?
    A: This training program is designed for AI users, developers, and security teams.
  • Q: How long does the training program take?
    A: The training program is a four-part curriculum that spans 20 bite-sized modules, each approximately 3 minutes long.
  • Q: Is the training program on-demand?
    A: Yes, the training program is on-demand and can be viewed 24/7 on any device.
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Sam Marten – Tech & AI Writer

Sam Marten – Tech & AI Writer

Sam Marten is a skilled technology writer with a strong focus on artificial intelligence, emerging tech trends, and digital innovation. With years of experience in tech journalism, he has written in-depth articles for leading tech blogs and publications, breaking down complex AI concepts into engaging and accessible content. His expertise includes machine learning, automation, cybersecurity, and the impact of AI on various industries. Passionate about exploring the future of technology, Sam stays up to date with the latest advancements, providing insightful analysis and practical insights for tech enthusiasts and professionals alike. Beyond writing, he enjoys testing AI-powered tools, reviewing new software, and discussing the ethical implications of artificial intelligence in modern society.

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