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Cyber threats are seen as the third most impactful risk to businesses over the next three years, after the cost of capital and economic downturns, respectively. Threat actors are not only deploying new tactics using generative artificial intelligence (AI) to conduct more targeted and sophisticated attacks, but they are also advancing familiar threats like ransomware with increased severity. The evolving regulatory landscape and the increasing adoption of cloud software also pose new challenges for cyber leaders.

In this 10-minute interview, attorney Lindsey Birch of Foley & Lardner joins Brian Lucareli to discuss art ownership. During the interview, Lindsey explained what constitutes ownership of art, what to look for when acquiring fine art or artifacts, insurance protection, and the steps that can be taken to mitigate any future risks regarding title.

As tax strategy becomes more central than ever to business success, tax leaders must adopt new capabilities beyond those traditionally required to lead the tax function. Essential to this evolution is the ability to develop and execute a forward-looking tax roadmap that fully integrates emerging technologies such as artificial intelligence (AI).

At its core, the New York LLC Transparency Act (NYLTA) aims to bolster transparency and combat unlawful activities by requiring the disclosure of beneficial ownership information (BOI) by limited liability companies (LLCs) organized under or operating within New York. While the NYLTA was initially slated to take effect during 2024, an amendment has delayed its effective date until January 1, 2026.

Amid the growing excitement surrounding generative artificial intelligence (AI) and other emerging technologies, CFOs in asset management and banking remain keenly focused on the impact that these tools can have on their clients. AI is enabling asset management firms to provide investors with valuable insights from extensive datasets, assisting them in selecting the most profitable strategies. Similarly, technology is aiding banks in serving their customers more effectively and efficiently, fostering long-term relationships.

For board members and non-executive directors, generative AI stands as a pivotal innovation that offers unprecedented opportunities to drive business value, improve productivity, reach broader audiences, streamline operations, and help address complicated global issues. However, it also raises complex business and ethical questions. To gain the full trust of stakeholders and customers, AI systems need to be designed with governance, risk, legal, and ethical frameworks in mind.

The U.S. Securities and Exchange Commission (SEC) released the Cybersecurity Risk Management, Strategy, Governance, and Incident Disclosure Rules in August 2023, requiring registrants to provide and report timely information about their cyber risk so that investors can make informed investment decisions. With the rules in place, the SEC expects that companies will apply materiality considerations for cybersecurity incidents as they would be applied regarding any other risk or event—through the lens of the reasonable investor.

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.