Have you read the recently released America’s AI Action Plan yet? If so, you know that it’s full of ambitious goals to strengthen the country’s leadership in artificial intelligence. For me, one part in particular stood out immediately, the White House issued a clear call to action to the data center industry.

Organizations seeking to work with the US government today must navigate a growing array of compliance requirements. Among the most prominent security frameworks are the Cybersecurity Maturity Model Certification (CMMC) and Federal Risk and Authorization Management Program (FedRAMP), each playing a critical role in securing federal information and systems.

As the EU's digital landscape evolves, so does its regulatory environment. With the NIS2 Directive, the Cyber Resilience Act (CRA), and the Digital Operational Resilience Act (DORA) all advancing on different timelines, organizations must prepare for a complex yet increasingly harmonized set of cybersecurity and resilience expectations.

The National Security Division (NSD) of the U.S. Department of Justice (DOJ) issued a Final Rule announcing a new Data Security Program (DSP) under Executive Order 14117: Preventing Access To Americans' Bulk Sensitive Personal Data And United States Government-Related Data By Countries Of Concern. Focused on protecting “covered data” transactions, the goal of the DOJ’s Final Rule is clear—prevent access to U.S government-related data and Americans’ sensitive personal data from:

Vulnerability scanning is one of the most critical — and commonly misunderstood — requirements in achieving the Federal Risk and Authorization Management Program (FedRAMP) Authorization to Operate (ATO). Cloud Service Providers (CSPs) must demonstrate a mature vulnerability management program to meet FedRAMP’s rigorous standards, requiring the right people, processes, and technologies in place.

Anytime you're scrolling through cybersecurity news, you’re likely to come across another headline about a data breach featuring quotes from the latest targeted company explaining why their customers’ personal information is now floating around the dark web. And then that familiar knot in your stomach creeps in asking the same question: "Could this happen to us?"

The widespread use of AI is in full force, reshaping industries, economies, societies, and business practices. From healthcare diagnostics and financial forecasting to enhanced education and public services, AI systems are being deployed at unprecedented speed and scale. With its rapid adoption comes both immense benefits and equal amounts of concern over transparency, accountability, fairness, and privacy.

As artificial intelligence (AI) technologies become more deeply embedded in business operations, the need for responsible, transparent, and auditable AI management practices has never been more critical. ISO 42001 provides a structured framework to help organizations govern their AI systems responsibly and ethically.