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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.

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.

The future of IT is changing and adapting to a cloud and artificial intelligence-enabled world that includes the exponential shift from on-premises to IT consumed as a service (XaaS) and accelerating data centricity. To face these challenges and drive successful digital competitive advantages, IT leaders and teams will need to master the six key priorities. Moving forward, the future of IT will show how IT can enable digital organization by informing technology investments, using artificial intelligence and automation, and harnessing the power of data.

Dive into Artificial Intelligence (AI) governance with Grant Thornton’s 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.

Since 1986, Byron R. Wein gave his views on a number of economic, financial, and political surprises for the coming year. By “surprise,” Byron defined it as an event that the average investor would only assign a one out of three chances of taking place but which he believed had a better than 50% likelihood of happening. Paying homage to Byron’s annual “10 Surprises” in this video, NEPC’s Phillip Nelson and Tim McCusker discuss their own predictions for 2024—their five market themes for 2024: cost of capital, magnificent 7, U.S. fiscal debt, artificial intelligence, and geopolitics.

The evolution of cybersecurity threats is increasing at a rapid pace and becoming more sophisticated as they leverage the same advanced technologies and methodologies as cyber defense tools. No longer are cyberattacks focused primarily on financial incentives, they are also aiming at maximizing operational disruption.

Generative artificial intelligence (AI), once seen as a vision of tomorrow, has rapidly advanced to become an established part of the day-to-day operations for organizations in every industry. Like any other emerging technology, the time to think about how AI will impact the future of business—including the tax function—is now. By integrating AI gradually and effectively implementing automation technology, organizations and tax professionals can benefit from enhanced efficiency, optimized operating models, advanced data insights, and improved talent acquisition and retention.

In times of significant change, it is easy to become paralyzed by uncertainty and indecision. However, such changes are inevitably accompanied by new opportunities. In this Wealth Planning Outlook, insights—and action items—are provided on the most vital planning issues amid epochal technological innovation in artificial intelligence (AI); an uncertain, though in many ways familiar, political, and tax landscape; and rapidly evolving attitudes on the greater meaning of wealth and legacy.