Documents Archive

In October 2025, the United States announced the formation of a National AI Safety Board—a permanent oversight body modeled on the National Transportation Safety Board. Days later, the European Commission inaugurated its AI Office, and UNESCO expanded its Ethics of AI Observatory. Within weeks, three continents converged on one insight...

Integrating Governance into the Development Lifecycle Artificial-intelligence security is entering a phase where good intentions are no longer sufficient. 2025’s high-profile AI breaches—from model-prompt leaks to manipulated training datasets—exposed that most organizations still treat governance as a post-deployment activity. The new “secure-by-design” guidance from the UK’s National Cyber Security Centre...

AI systems are not built; they are assembled. Every model, dataset, and line of code depends on an intricate supply chain of vendors, cloud providers, open-source libraries, and pre-trained components. As regulation tightens, this chain has become a new frontier of risk. The integrity of an organization’s AI...

Artificial intelligence has entered the stage of regulation, and organizations are now being asked not just to use AI responsibly but to prove that they are doing so. For years, industry conversations about “responsible AI” revolved around ethical aspirations—fairness, accountability, transparency. Today, boards, regulators, and auditors are demanding measurable evidence.

Italy became the first EU country to pass a national AI law on September 17, 2025, requiring algorithmic traceability, dedicated oversight bodies, and protections for minors. The law signals the end of symbolic compliance and the start of a new era of enforceable AI governance.

On September 25, 2025, the U.S. endorsed a plan for U.S. control over TikTok’s data and recommendation engine, while Italy’s new AI law and the EU AI Act tighten algorithmic traceability. These moves signal a global recognition that recommendation algorithms shape markets, security, and trust—and can no longer operate as sealed black boxes.

Annual reviews are not enough. Learn why continuous AI governance is needed to keep pace with evolving risks and maintain board confidence.

Policies alone are not enough. Learn how organizations can close the AI governance evidence gap with risk registers, drills, and monitoring.

EU AI Act, ISO 42001, and NIST AI RMF overlap but differ. Learn how cross-mapping creates efficiency and reduces compliance risks.

Regulators demand evidence, not policies. Learn why structured evidence libraries are critical for AI governance and audit readiness.