By 2026, organisations that operationalise artificial intelligence (AI) transparency, trust and security will see their AI models achieve a 50% improvement in terms of adoption, business goals and user acceptance, according to Gartner, Inc.
Speaking at the Gartner Security & Risk Management Summit in London today, Mark Horvath, VP Analyst at Gartner said, “CISOs can’t let AI control their organization. AI requires new forms of trust, risk and security management (TRiSM) that conventional controls don’t provide. Chief information security officers (CISOs) need to champion AI TRiSM to improve AI results, by, for example, increasing the speed of AI model-to-production, enabling better governance or rationalizing AI model portfolio, which can eliminate up to 80% of faulty and illegitimate information."
Not only does AI pose considerable data risks as sensitive datasets are often used to train AI models, but the accuracy of model outputs and the quality of the data sets might vary over time, which can cause adverse consequences.
The implementation of AI TRiSM enables organisations to understand what their AI models are doing, how well they align with the original intentions and what can be expected in terms of performance and business value.