The evolving landscape of artificial machine learning presents novel cybersecurity challenges. Malicious actors are creating increasingly advanced methods to compromise AI systems, including poisoning training data, bypassing detection mechanisms, and even creating harmful AI models themselves. As a result, robust safeguards are vital, requiring a