Unlock the Secrets of AI Security with Free MLSecOps Foundations Course
Written by: Alex Davis is a tech journalist and content creator focused on the newest trends in artificial intelligence and machine learning. He has partnered with various AI-focused companies and digital platforms globally, providing insights and analyses on cutting-edge technologies.
Protect AI Launches Free MLSecOps Foundations Training Course
Empowering Teams to Combat AI Security Risks
How prepared is your organization to tackle the **growing threats** in AI and machine learning security? Protect AI, an industry leader in AI security, has just introduced the MLSecOps Foundations, a complimentary four-part video training program designed to equip teams with essential strategies for integrating security into AI/ML workflows.
This initiative directly addresses the critical need for organizations to enhance their **security posture** in an increasingly complex landscape. The article will delve into:
The structure and content of the MLSecOps Foundations program
The expertise of Diana Kelley, CISO, at the helm of the training
Key learning outcomes and benefits for participants
Tune in to discover how this free program can strengthen your organizational defenses against AI/ML threats and foster a culture of security awareness among your teams.
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Protect AI raises $108.5M to help organizations protect ML systems and AI applications from unique security vulnerabilities.
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Introducing MLSecOps Foundations
Protect AI, a frontrunner in AI and ML security solutions, has unveiled MLSecOps Foundations, a complimentary four-part video training and certification series focused on embedding security within AI/ML operations, spearheaded by their Chief Information Security Officer, Diana Kelley.
The MLSecOps Foundations initiative empowers organizations with crucial insights and actionable strategies to seamlessly incorporate security measures into their AI/ML workflows. This resource is a testament to Protect AI's dedication to assisting companies in developing strong security foundations within their AI systems, complementing the MLSecOps community and open-source tools they offer.
Structure and Accessibility of the Program
Targeting AI practitioners, developers, and security professionals, the MLSecOps Foundations comprises a four-part curriculum encompassing 20 digestible modules, each averaging around 3 minutes. These modules address significant AI security challenges and preventive measures while outlining how to implement them using the MLSecOps framework. The on-demand nature of the MLSecOps Foundations course ensures accessibility 24/7 from any device.
Leadership and Expertise
The program is directed by acclaimed cybersecurity authority Diana Kelley, the CISO at Protect AI. Diana's impressive background includes roles as Cybersecurity Field CTO at Microsoft, Global Executive Security Advisor at IBM Security, General Manager at Symantec, Vice President at Burton Group (now part of Gartner), a Manager at KPMG, co-founder and CTO of SecurityCurve, and Chief vCISO at SaltCybersecurity. She has been recognized as the EWF 2020 Executive of the Year and currently serves as the EWF Conference Chair from 2021 onward, along with being acknowledged as an SCMedia Power Player and one of the Cybersecurity Ventures 100 Fascinating Females Fighting Cybercrime.
“The threats to AI/ML security are not just hypothetical. We have already seen active attacks targeting vulnerabilities in Ray, a popular open-source AI framework, impacting thousands of businesses and their AI infrastructures,” stated Diana Kelley, CISO of Protect AI. “The MLSecOps Foundations program is crafted to provide a thorough understanding of how to infuse security into AI and ML processes, detailing where and how security can be integrated within ML pipelines.”
Course Outcomes and Certification
Upon completing the training, participants will earn a certificate and acquire skills to:
Secure machine learning models
Perform AI-aware risk assessments
Audit and oversee supply chains
Execute incident response plans
Assemble a top-tier MLSecOps team
Enable their organizations to proactively secure AI and ML systems
MLSecOps Foundations is a complimentary four-part video training and certification series developed by Protect AI, focused on embedding security within AI and ML operations. It aims to provide organizations with essential insights and strategies to integrate security measures into their AI/ML workflows.
2. Who leads the MLSecOps Foundations program?
The program is spearheaded by Diana Kelley, the Chief Information Security Officer at Protect AI. Diana Kelley is an acclaimed cybersecurity expert with a rich background in various prestigious roles across the cybersecurity domain.
3. How many modules are included in the MLSecOps Foundations course?
MLSecOps Foundations comprises a total of 20 digestible modules, each averaging around 3 minutes in length. These modules focus on significant AI security challenges and the preventive measures that can be taken.
4. Who is the target audience for MLSecOps Foundations?
The course is designed for AI practitioners, developers, and security professionals who are looking to enhance their skills in integrating security within AI and ML systems.
5. What skills will participants gain upon completion of the training?
Upon completing the training, participants will earn a certificate and acquire the following skills:
Secure machine learning models
Perform AI-aware risk assessments
Audit and oversee supply chains
Execute incident response plans
Assemble a top-tier MLSecOps team
Proactively secure AI and ML systems
6. How is the MLSecOps Foundations program delivered?
The program is delivered in an on-demand format, ensuring that participants can access the content 24/7 from any device, allowing for flexible learning at their convenience.
7. What specific security challenges does the program address?
The modules address key challenges related to AI security, such as vulnerabilities in popular frameworks and how to effectively incorporate security measures within the ML pipelines.
8. Why is there a focus on AI and ML security?
The focus on AI and ML security is crucial due to the rising threat landscape. As stated by Diana Kelley, “The threats to AI/ML security are not just hypothetical,” indicating the real-world implications of inadequately secured AI infrastructures.
9. How can organizations benefit from the MLSecOps Foundations initiative?
Organizations can gain crucial insights and actionable strategies to embed security in their AI/ML workflows, ultimately strengthening their security foundations within AI systems.
10. Where can I find more information about the training program?
To learn more about MLSecOps Foundations and to register for the training program, individuals can visit the Protect AI website for further details and access to the course materials.
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