More organizations than ever are using AI, but for those who want to incorporate it responsibly, it can be difficult to identify emerging risks. Luckily, several frameworks are available for assessing ...

Some of the most recognizable names in generative artificial intelligence are expanding their offerings for financial services organizations, from fraud detection and algorithmic trading support to ...

While there is growing attention surrounding AI risks, as the use of AI expands, it is necessary to address not only ...

In Part 1 of this series, we looked at the incoming wave of AI regulations and what they mean for the IT professionals tasked with enforcing them. Waiting for lawmakers to finalize their rules is a ...

NIST provides a stockpile of resources aimed at helping CISOs and security managers safeguard their technologies. Among them, the NIST Cybersecurity Framework and NIST Artificial Intelligence Risk ...

The National Institute of Standards and Technology (NIST) recently released their initial preliminary draft of NIST IR 8596, also known as the Cybersecurity Framework Profile for Artificial ...

Emerging NIST guidance suggests that the long-standing practice of treating AI as “just software” for cybersecurity purposes is giving way to more novel approaches to managing AI risks. For years, US ...

A good AI governance framework is connective tissue between an organization’s ambition to use AI for greater good and the ...

Enterprise AI agents are shipping into a regulatory vacuum. According to the Gartner 2026 CIO Survey, 17% of CIOs have already deployed AI agents and another 42% plan to do so within the next year.

October is Cybersecurity Awareness Month. This year, Thompson Coburn’s Data Governance, Privacy and Cybersecurity practice ...

Securing AI must be designed into the AI journey from the first use case, the first dataset and the first decision about ...