Singulr AI Glossary

TRiSM stands for Trust, Risk, and Security Management, a framework coined by Gartner for managing the trustworthiness, risk exposure, and security posture of artificial intelligence systems. It brings together the disciplines of AI governance, model risk management, data protection, and adversarial threat defense under a single operational umbrella. TRiSM matters because AI adoption is outpacing the controls organizations have in place to manage it. Models are being deployed across business functions without consistent oversight, creating gaps in how organizations track what AI is doing, whether it's performing safely, and whether it meets regulatory expectations. TRiSM provides a structured approach to closing those gaps by treating AI trust, risk, and security as connected problems rather than separate initiatives. The TRiSM framework covers several key areas. Trust includes explainability, fairness, and bias monitoring — ensuring AI outputs are reliable and non-discriminatory. Risk encompasses model validation, drift detection, and ongoing performance monitoring to catch degradation before it causes harm. Security addresses threats like prompt injection, data poisoning, model theft, and adversarial attacks that target AI systems specifically. Together, these pillars create a continuous management cycle rather than a one-time checklist. For enterprises in regulated industries, TRiSM has become a planning priority. Organizations in financial services, healthcare, and government are using TRiSM principles to build AI governance programs that satisfy regulators, protect customers, and reduce the operational risk that comes with deploying AI at scale across the business.