AI systems are moving faster than risk control, warning Information Technology Research Group with new risk management resources

AI For Business


As AI adoption accelerates across the industry, most organizations are not prepared to manage the complex and emerging risks that come with it. Global research and advisory firm Info-Tech Research Group recently published resources to implement proactive, principles-based frameworks to allow companies to formalise AI risk programs, improve governance, and adjust their strategies with business goals.

Toronto, July 9, 2025 /prnewswire/ – Organizations employ AI at a rapid pace, but many lack the control they need to manage the risks associated with these conversion systems. From hallucinations and biases to deepfakes and hostile threats, AI can introduce new vulnerabilities that traditional governance frameworks are not designed to address. To help organizations tackle these challenges, the Information Technology Research Group, a global research and advisory company, recently published research insights in the Blueprint. Build an AI risk management roadmapproviding structured methodologies to develop comprehensive business-aligned AI risk programs.

Info-Tech Research Group recently published research insights at Blueprint, building an AI risk management roadmap to help businesses to formalise their AI risk programs, improve governance, and align their strategies with business goals. (CNW Group/Information Technology Research Group)
Info-Tech Research Group recently published research insights at Blueprint, building an AI risk management roadmap to help businesses to formalise their AI risk programs, improve governance, and align their strategies with business goals. (CNW Group/Information Technology Research Group)

As outlined in Info-Tech's AI Risk Management Framework, failure to actively manage AI risks can lead to regulatory violations, reputational damage, and reduced value. Despite these results, many organizations still rely on ad hoc processes, relying on silo risk ownership within technical teams that only respond to problems after they occur or are not involved in the business.

“AI risk is a business risk. All AI risks have business impacts.” say Bill WongResearcher at Info-Tech Research Group. “Accountability cannot be taken a break from AI leaders alone. Business executives must be active participants in identifying, assessing and responding to AI risks. This starts with incorporating risk management into the governance, strategy and decision-making process.”

The company's resources outline how to evolve fragmentation or informal approaches into structured AI risk management programs through four key aspects: risk governance, risk identification, risk measurement, and risk response. One of the themes of Blueprint focuses on ensuring that the AI ​​risk framework is integrated with the broader enterprise risk management and programs are integrated with organizational strategy and regulatory requirements.

To support implementation, Info-Tech has introduced a comprehensive roadmap built around framing AI risks, establishing AI risk governance, identifying and assessing risks, measuring potential impacts, defining responses, and creating roadmap for implementation. An important element of the blueprint is the formation of the AI ​​Risk Council (AIRC). This includes sensual expressions from it, AI, and business leaders. The council is responsible for assigning ownership, recommending risk tolerance, reviewing risk assessments, and ensuring shared accountability across the organization.





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