FedRAMP CR26, the Consolidated Rules for 2026, is the most significant structural change the program has made in over a decade, and it arrived on schedule at the end of ...
The SWIFT CSP framework, formally the Customer Security Controls Framework (CSCF), is the set of security controls that every institution connected to the SWIFT network must meet and attest to ...
AI security risks are the threats that arise specifically from building, deploying, and using artificial intelligence, and they have grown sharply as AI spreads through the enterprise. Traditional security controls ...
AI compliance means meeting the legal, regulatory, and contractual obligations that govern how an organization develops and uses artificial intelligence. In 2026 that landscape moved quickly, with the EU AI ...
AI risk management is the practice of identifying, assessing, and treating the risks that artificial intelligence creates for an organization, before those risks turn into incidents. As AI moves into ...
Shadow AI detection is the practice of finding the unapproved AI tools and services employees are already using across an organization, so they can be brought under governance. You cannot ...
The EU AI Act timeline just changed. On 16 June 2026, the European Parliament approved a package of amendments known as the digital omnibus that postpones the heaviest obligations of ...
Enterprise AI governance is the way an organization’s board and senior leadership direct, oversee, and remain accountable for the use of AI across the entire business. As AI moves into ...
An AI audit is an independent review of how an organization builds, uses, and governs artificial intelligence, measured against a standard, regulation, or risk framework. As AI takes on more ...
Labeling AI-generated content is about to become a legal requirement in the European Union. In June 2026, the European Commission published a voluntary Code of Practice to help organizations meet ...
