Building
Security into AI
Build Smarter, Safer AI
This course demystifies AI development and shows you how to build security in from the start. Learn how AI differs from traditional apps, create a threat model, and analyze real-world breaches. Perfect for security pros ready to tackle the risks of AI-powered systems—before attackers do.
(Earn 1 CPE)
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Course Topics
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Introduction to Building Security into AI
Learn about AI vs. traditional software risks, threat modeling, real-world breaches, and how cybercriminals profit—preparing you to tackle evolving AI security challenges with practical insight.

Threat Model
This module defines AI capabilities, explores its architecture, and uses threat modeling to uncover risks—from poisoned data and supply chain attacks to compromised training. Includes real examples and key mitigations throughout.

Input Manipulation
This module explores input-based AI attacks like adversarial examples, prompt injection, and ASCII smuggling. Learn attack methods and key mitigations including sanitization, rate limiting, red teaming, and anomaly detection.

Data Output Concerns
Explores AI output risks like sensitive data leaks, model inversion, copyright violations, and model theft. Learn mitigations including content filtering, access control, watermarking, and anomaly detection.

Robert Herbig
Security must be a foundational layer in AI development, not an afterthought. Without it, we risk building systems that are powerful but vulnerable."
Meet the Instructor
Robert Herbig
Robert is a seasoned technology leader with deep expertise in both artificial intelligence and API security. As the AI Practice Lead at SEP, Robert guides teams in building secure, responsible AI systems while drawing on over 15 years of experience in software engineering, architecture, and product leadership. With a background in securing complex software systems and a passion for emerging technologies, he brings a unique perspective at the intersection of AI innovation and cybersecurity—helping organizations design, develop, and defend AI-enabled applications and APIs.
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