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While the rapid pace at which artificial intelligence (AI) technology has been both developing and impacting several areas of our daily lives continues, so do the concerns about the tech’s safety, privacy, and bias. As there’s no stopping the ongoing integration of AI, organizations are now wondering what they can do to ease those concerns, and the answer is simple—start with protecting your data.

In January 2024, the AI Governance Alliance—an arm of the World Economic Forum (WEF)— released a series of three papers covering several important artificial intelligence (AI) topics:

Trying to keep up with the rapidly emerging and evolving governance of AI? Struggling to figure out how to address customer misgivings about your AI systems?

Did you recently implement a new artificial intelligence (AI) feature within your application and now your customers are starting to ask for AI-specific penetration tests? Are you curious as to how an assessment like that would work? As with all these exercises, it starts with scoping.

In a move that now positions the 27-nation bloc as a global leader in regulating artificial intelligence (AI), European Union lawmakers have granted final approval to the Artificial Intelligence (AI) Act, a pioneering legislation that sets a precedent for other jurisdictions grappling with the challenges of AI regulation.

Similar to the way the launch of the first satellite, Sputnik, both introduced a new technology era—the space race—and raised some alarm, the ongoing adoption of generative artificial intelligence (AI) is beginning to permeate industries worldwide, prompting questions of how cybersecurity will need to adjust to accommodate this huge new development.

Now that ISO 42001 has been published, organizations are looking more closely at possible adherence to this new standard for artificial intelligence (AI). But those familiar with established ISO standards will know that this new framework for regulating AI will be similarly rigorous and any opportunity to streamline certification—like a gap assessment—will be enormously advantageous.

Recently, the UK National Security Centre (NCSC) and the US Cybersecurity and Infrastructure Security Agency (CISA)—along with other groups from around the world—released the Guidelines for Secure AI System Development.