Published: 17 October 2022
Artificial intelligence requires new forms of trust, risk and security management, yet organizations investigate these mainly to comply with regulations. IT leaders must change their approach, adopting AI TRiSM to protect their organizations and improve their business outcomes from AI models.
Conventional controls, such as ISO security standards, don’t adequately address the new forms of trust, risk and security management that AI requires — yet most security leaders treat AI as just another typical application.
Organizations that implement AI trust, risk and security management (AI TRiSM) move more AI models into production and derive more value from them than the organizations that don’t.
The adoption of AI TRiSM lags far behind in sectors where regulatory requirements are only pending or limited. However, AI poses the same significant threats and issues to all who use it. Over the next five years, these threats
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Analysts:
Avivah Litan, Farhan Choudhary, Bart Willemsen, Jeremy D'Hoinne
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