The article argues that as AI red teaming evolves beyond prompt injection, security teams must combine data science, model testing, and traditional penetration testing to assess risk across the full attack surface. It explains that prompt injection targets only the model layer of frameworks like Google’s Secure AI Framework, while attacks against other layers are equally critical. The piece contends that comprehensive AI red teaming requires broader expertise than prompt injection alone, including classical web application security and penetration testing skills, since attackers are not constrained to AI-specific pathways.
