Definition
AI TRiSM stands for Artificial Intelligence Trust, Risk, and Security Management. It is a framework and set of practices designed to ensure that AI systems are developed and deployed responsibly, ethically, and securely. AI TRiSM addresses the inherent risks associated with AI, such as bias, lack of transparency, and potential misuse, by integrating governance, risk management, and security controls throughout the AI lifecycle. This approach helps organizations build trustworthy AI by establishing clear policies, robust testing procedures, and continuous monitoring mechanisms. For example, an AI TRiSM framework would guide a financial institution in developing a loan application AI that is fair, auditable, and resistant to adversarial attacks. It differs from general AI ethics by focusing specifically on the operationalization of trust, risk, and security in AI systems. This concept is increasingly relevant in advanced AI and cybersecurity certifications.