Synthetic intelligence and machine studying cybersecurity firm Defend AI Inc. right now introduced the provision of a brand new free four-part video coaching and certification program on construct safety into AI and machine studying lifecycles utilizing an MLSecOps Framework.
Known as MLSecOps Foundations, this system has been designed to equip organizations with the important data they should deploy AI and ML safety. This system additionally offers sensible methods that can be utilized to seamlessly combine AI safety into a corporation’s processes to empower groups to handle rising threats within the AI and machine studying panorama proactively.
Designed for AI customers, builders and safety groups, MLSecOps Foundations is obtainable as a four-part curriculum that spans 20 bite-sized modules with a mean size of three minutes that cowl AI safety points and prevention methods in addition to implement them utilizing the MLSecOps framework.
Upon completion of the course, individuals earn a certificates and acquire abilities in securing machine studying fashions, conducting AI-aware danger assessments, auditing and monitoring provide chains, implementing incident response plans, constructing an MLSecOps dream crew and proactively securing their group’s AI and machine studying techniques.
This system is led by Defend AI Chief Info Safety Officer Diana Kelley, who beforehand labored as a cybersecurity discipline chief know-how officer at Microsoft Corp., world govt safety advisor at IBM Safety, and normal administration at Symantec, amongst different roles.
“AI/ML safety threats are now not theoretical. An lively assault concentrating on a vulnerability in Ray, a broadly used open-source AI framework, has already affected hundreds of firms and servers operating AI infrastructure,” Kelley mentioned. “MLSecOps Foundations is designed to offer a complete overview of construct safety into AI and ML utilizing an MLSecOps framework and explains how and the place safety will be woven into ML pipelines.”
Defend AI was final within the information in Could when it unveiled Sightline, a vulnerability database that gives insights into identified and rising AI and machine studying vulnerabilities, together with an early warning system to defend towards threats.
Picture: SiliconANGLE/Ideogram
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