This course teaches cybersecurity professionals, penetration testers, application security engineers, auditors, and security practitioners how to assess the security of AI-enabled systems. You will learn to plan and execute AI security assessments by defining scope and objectives, developing threat models, creating test plans, and writing effective test cases. The course covers industry frameworks and methodologies, including the OWASP AI Testing Guide and STRIDE, for identifying and prioritizing AI security risks. Through hands-on exercises, you will map data flows, identify trust boundaries and attack surfaces, perform threat modeling, execute security tests, document findings, and create professional assessment reports. You will also learn validation and regression testing techniques to verify remediation efforts. By the end of the course, you will be able to conduct end-to-end AI security assessments, communicate findings effectively, validate security improvements, assess residual risk, and provide meaningful insight into the security posture of AI-enabled systems.
