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Subscribe12 MAY 2025 / SERVICES UPDATES
KPMG LLP has unveiled KPMG AI Trust, a new suite of services aimed at helping organizations ensure reliability, accountability, and transparency in their artificial intelligence initiatives. The services are designed to support enterprises across the entire AI adoption lifecycle, offering practical tools and processes that embed governance into every phase of AI development and deployment.
Built in partnership with ServiceNow, KPMG AI Trust leverages the firm’s Trusted AI framework and the ServiceNow AI Control Tower. These proprietary solutions are developed to assist clients in navigating the complex landscape of AI risk, compliance, and governance with a focus on real-world implementation.
The offering integrates AI agents and governance technologies to support readiness assessments, legal and regulatory compliance, security, and risk transformation strategies. This comprehensive toolkit allows clients to address challenges in AI intake, evaluation, implementation, management, and monitoring, ensuring systems are not only functional but also secure, compliant, and ethically aligned.
According to KPMG’s AI Quarterly Pulse survey, 82% of business leaders consider risk management their top concern in AI adoption, while 73% prioritize data privacy and security when selecting generative AI providers. The Trust, Attitudes and Use of Artificial Intelligence global study also highlights a trust gap, with only 46% of global respondents expressing confidence in AI systems.
“We are at a critical turning point where AI is moving fast, but governance is lagging. It’s not enough for AI to simply work; it needs to be trustworthy,” said Bryan McGowan, global and U.S. trusted AI leader at KPMG. “By activating KPMG AI Trust with alliance partners like ServiceNow, we are taking a significant step forward in AI governance to set a new standard for AI risk management across all industries.”
With AI’s rapid integration into core business operations, the KPMG AI Trust suite aims to offer a scalable framework that bridges the gap between innovation and responsible deployment, reinforcing the importance of trust as a foundational element in AI adoption.
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