Isabel Santos specializes in technical education at the intersection of AI security and modern C++ programming, with a focus on generative AI vulnerabilities and secure coding standards. She produces educational content examining prompt injection attacks, data poisoning risks, and infrastructure security across the AI development lifecycle. Her work incorporates the C++ Core Guidelines to demonstrate how proper programming practices contribute to both maintainable code and robust security postures. Based in the AI security sector, Santos develops resources that help software teams identify and mitigate emerging threats to machine learning systems. She analyzes security considerations specific to large language models, computer vision applications, and AI-powered tools. Her technical guidance bridges theoretical security principles with practical implementation strategies for development teams. Santos curates knowledge resources connecting contemporary AI security challenges with foundational software engineering concepts. She creates documentation and training materials covering threat modeling, defensive coding patterns, and security testing methodologies. Her work synthesizes insights from both the AI security community and the C++ programming ecosystem.