As AI becomes a central part of business operations, the risks tied to its use are more pressing than ever. Data breaches, biased outcomes, and AI systems behaving in unexpected ways can undermine trust and disrupt businesses. In response, Gartner has developed the TRiSM (Trust, Risk, and Security Management) framework, a comprehensive approach to managing AI governance and security. Its recent spotlight, “Tackling Trust, Risk and Security in AI Models” included Prove AI as a featured solution, alongside other AI industry leaders.
With AI risks becoming more visible, companies need clear strategies to protect their systems. Gartner’s TRiSM framework offers a roadmap for businesses to secure their AI.
The Basics of TRiSM
Gartner’s TRiSM framework focuses on dealing with two big risks in AI – data breaches and AI behaving unpredictably. The solution is managing these risks through three main areas: people, processes, and technology.
How Prove AI Simplifies AI Governance
Prove AI was built to make responsible AI governance more efficient and predictable for businesses. It gives organizations tamper-proof oversight of their AI data, models, and outputs – keeping everything secure and accountable.
Powered by blockchain technology, Prove AI ensures every part of your AI process is locked down, from training data to model performance. Our solution aligns perfectly with TRiSM, helping companies maintain trust, transparency, and security in their AI systems.
AI can be a game-changer, but only if it’s managed properly. Gartner’s TRiSM framework is a key resource for organizations seeking to keep their AI systems safe and compliant. By getting ahead of these risks, businesses can make sure their AI is as secure and responsible as it needs to be.
To read more about Gartner’s recent TRiSM findings please visit their website here. Additionally, please reach out directly if you’re interested in becoming one of the first users of Prove AI or speaking with one of our team members.