KPMG announced Thursday new AI assurance capabilities within its AI Trust suite of services that the Big Four accounting firm says are aimed at helping organizations scale generative artificial intelligence and agents ethically and responsibly.
The firm said its new offerings provide assurance frameworks that go beyond functionality to monitor agent behavior, supporting companies to operate within established guardrails while mitigating new compounded risks, such as security vulnerabilities, customer privacy, and accuracy of AI outputs.
“AI is the strategic difference maker amid business uncertainty and disruption, demanding the C-suite meet both goals of trust and speed. However, many companies are still at the earliest stages of understanding the opportunity and impacts of using this technology,” Christian Peo, KPMG US vice chair of audit, said in a statement. “Our AI assurance capabilities meet technology teams, management, and boards where they are in their implementation journey, supporting their efforts to responsibly and ethically use AI and build, deploy, and govern their AI systems.”
The services announced on Sept. 25 include:
- AI model risk assessments, control testing, and quantitative assessments: Evaluate models through structured risk assessments and design/control effectiveness reviews, as well as hands-on testing of AI systems using statistical and performance-based methods.
- AI model validation: Tests models for accuracy, assumptions, and regulatory compliance.
- Real-time systems assessments: Evaluates AI-related updates and system implementations for changes that impact financial reporting controls, supporting audit compliance and clear oversight.
- AI assurance and attestation: Provides formal, independent assurance over AI systems against defined standards or frameworks, including SOC, FedRAMP (Federal Risk and Authorization Management Program), SWIFT (Society for Worldwide Interbank Financial Telecommunication), HiTRUST, and more.
“An integrated AI readiness and assurance approach empowers organizations to advance AI deployment with confidence,” said Rob Fisher, KPMG US and global vice chair of advisory. “When you’re deploying AI and agent systems that can coordinate autonomously and adapt in real-time, foundational principles like accountability, transparency, and security aren’t optional. We’re approaching this challenge together with our technology alliance partners because the organizations that get this right will understand that deploying the technology and prioritizing trust aren’t separate initiatives.”
The solutions build on KPMG AI Trust, the firm’s multidisciplinary suite of services enabled by technology platforms such as Microsoft, ServiceNow, and Cranium, which are designed to help clients enhance AI reliability, accountability, and transparency as they scale AI applications.
These comprehensive solutions meet the needs of both boards and executives, KPMG said in a media release.
“Independent assurance, third-party assessments, and governance frameworks help boards and audit committees understand the big picture, including how AI is governed and affects internal control, regulatory, and compliance risks, and how explainable, reliable, and trustworthy an organization’s AI ecosystem is,” the firm stated. “Assessments on how the data pipelines are secure, how model outputs are monitored, how access is managed, and whether fallback procedures are in place also help to support management’s efforts to build trust.”
More information about KPMG AI Trust services can be found here.
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Tags: Accounting, Artificial Intelligence, assurance, KPMG, Technology
