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New cybersecurity guidance for artificial intelligence (AI) systems was issued jointly by the U.S. Cybersecurity and Infrastructure Security Agency, the FBI, the National Security Agency’s Artificial Intelligence Security Center, and cybersecurity agencies of Australia, New Zealand, the U.K., and Canada. The Guidelines, Deploying AI Systems Securely: Best Practices for Deploying Secure and Resilient AI Systems, are particularly notable because they focus on best practices for organizations that deploy AI developed by a third party rather than targeting developers of AI systems.

Digital transformation is widely misunderstood as being primarily focused on digitizing existing processes, moving to the cloud, or enabling scalability of the business. While this was true historically, today digital transformation requires taking bold steps and deploying advanced technologies such as AI, machine learning, augmented reality, blockchain, and others to create innovative new products that can make new revenue streams possible.

Despite cybersecurity being noted as a top priority according to PwC’s 2024 Global Digital Trust Insights survey of 3,876 business and tech executives at the largest global companies, the actual progress on improving security is sluggish, even stagnant. By making one or two bold moves to put security at the epicenter of innovation, the top companies are positioning themselves for greater productivity and faster growth as they dive into new technologies with confidence that they are well protected.

While the artificial intelligence (AI) transformation is a part of the larger digital change, it’s taking on a life of its own. Even if a company can adapt to the change, it doesn’t mean it’s ready for AI. There are many more considerations, and it requires a different approach where the audit committee plays a crucial role that will bring valuable oversight and guidance to this technological evolution through their understanding of risk and assurance.

While IT functions are playing a central role in today’s digital transformation, their future is uncertain with public cloud, everything-as-a-service (XaaS), AI, and other advancements making new demands of IT leaders and their teams. Looking at the challenges and impact of six trends on IT’s mission and value proposition in an AI-enabled world, it’s clear that a leap forward with digital transformation is required if IT wants to be a driving force behind the successful integration and application of technology to build innovative, resilient, sustainable, data-driven organizations.

It’s a big job when it comes to choosing a technology platform to replace a platform that no longer meets your business needs and objectives. With a decision this important, you need to be confident that the new platform supports your multi-year benefits strategy, and that the vendor you select will meet your needs today—and in the future. To help with the selection process and evaluation, use these questions as outlined in the checklist provided.

Dive into Artificial Intelligence (AI) governance with these concise video series that are designed for board members and senior executives. The four short videos summarize insights on the challenges and opportunities of AI board governance. From understanding the need for “AI circuit breakers” to tracking risks and accountability, and finally embracing AI as a manageable challenge, this series addresses some of the key issues for staying on top of AI in your business.