Fundamentals of AI Security (EDU-111)
Cybersecurity professionals and anyone who needs a practical view of AI risk and AI-enabled defense.
About the Course
Fundamentals of AI Security (EDU-111) explores the security risks that emerge as AI adoption grows. This self-paced eLearning course covers how attackers weaponize AI across every phase of a cyberattack, how data risks and Shadow AI expand the attack surface beyond what legacy controls can detect, and how organizations can build a structured defense posture using the Zscaler AI Security Framework. A self-guided lab reinforces the course content through hands-on practice.
Learning Outcomes
Describe how attackers use AI to enhance phishing, malware, and other cyberthreats
Explain how AI changes the data security risks organizations must manage
Recognize why Shadow AI and legacy controls create visibility and control gaps
Explain the purpose of the Zscaler AI Security Framework in securing AI adoption
Recognize how AI governance promotes safe usage policies
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EDU-111 Learning Journey Map
The recommended path for Fundamentals of AI Security (EDU-111) is to complete the eLearning course first, then work through the self-guided lab to apply what you have learned. Once both are complete, you can take the test. Upon passing, you will earn a completion certificate.
Our Learning Path
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