AI Compliance in 2026: Definition, Standards, and Frameworks | Wiz
https://www.wiz.io/academy/ai-security/ai-complianceSummary
The article discusses AI compliance, emphasizing its critical role as organizations aim to meet evolving legal and regulatory standards. Integration of security, legal, governance, and engineering teams is deemed essential for ensuring AI's ethical deployment. Key takeaways include: - AI compliance assists with adhering to regulations like the EU AI Act and GDPR, while governance focuses on broader oversight and risk management. - A significant number of organizations lack transparency in their AI environments, increasing risks. - New AI regulations are emerging globally, impacting compliance strategies. - Companies must establish comprehensive AI compliance strategies, segmented by industry-specific needs. The article outlines various compliance frameworks, including the EU AI Act, NIST AI RMF, and ISO standards, as well as practical steps for implementation. Emphasis is placed on continuous monitoring and the need for specialized tools tailored to AI functionalities.