SECURITY
SECURITY
SECURITY
Protect AI launches free MLSecOps Foundations course for AI security certification
Artificial intelligence and machine learning cybersecurity company Protect AI Inc. today announced the availability of a new free four-part video training and certification program on how to build security into AI and machine learning lifecycles using an MLSecOps Framework.
Called MLSecOps Foundations, the program has been designed to equip organizations with the essential knowledge they need to deploy AI and ML security. The program also provides practical strategies that can be used to seamlessly integrate AI security into an organization’s processes to empower teams to address emerging threats in the AI and machine learning landscape proactively.
Designed for AI users, developers and security teams, MLSecOps Foundations is offered as a four-part curriculum that spans 20 bite-sized modules with an average length of three minutes that cover AI security issues and prevention strategies as well as how to implement them using the MLSecOps framework.
Upon completion of the course, participants earn a certificate and gain skills in securing machine learning models, conducting AI-aware risk assessments, auditing and monitoring supply chains, implementing incident response plans, building an MLSecOps dream team and proactively securing their organization’s AI and machine learning systems.
The program is led by Protect AI Chief Information Security Officer Diana Kelley, who previously worked as a cybersecurity field chief technology officer at Microsoft Corp., global executive security advisor at IBM Security, and general management at Symantec, among other roles.
“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,” Kelley said. “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.”
Protect AI was last in the news in May when it unveiled Sightline, a vulnerability database that provides insights into known and emerging AI and machine learning vulnerabilities, along with an early warning system to defend against threats.
Image: SiliconANGLE/Ideogram
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