Skip to content

With regulatory pressure, operational focus: Twelve action priorities for global privacy, AI governance, and cyber security compliance

Aug 2026 · Journal of Data Protection & Privacy · Vol 9, pp. 9 · 0 citations

TL;DR

It is argued that the European Union’s (EU) General Data Protection Regulation and the California Consumer Privacy Act (CCPA) can serve as a common compliance core whose requirements can be leveraged to satisfy most other data protection regimes.

Abstract

Global businesses face growing privacy and data protection obligations. Duties can vary by jurisdiction, and many businesses struggle to decide where to direct finite compliance resources. This paper, developed from a panel the authors prepared for the IAPP Global Summit 2026, argues that the European Union’s (EU) General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), the most comprehensive and demanding regimes to which most global businesses are already subject, can serve as a common compliance core whose requirements can be leveraged to satisfy most other data protection regimes. It distils that core into 12 concrete priorities, grouped into five themes: securing the foundation; disciplining the data; respecting the individual; building accountability; and governing automation while anticipating legal change. The paper maps each priority to its anchoring GDPR and CCPA provisions and to the enforcement and litigation exposure that makes it consequential for global privacy, artificial intelligence (AI) governance, and cyber security compliance. The authors conclude that although obligations differ in some details and many organisations face additional sector and jurisdiction-specific rules, businesses that act on these 12 priorities will address the requirements common to data protection laws worldwide and materially reduce risk. The wider implication, underscored by recent deregulatory proposals in the EU and contests between federal and state authorities over AI in the US, is that organisations need a durable, principle-led compliance core and a standing process to monitor change. This article is also included in The Business & Management Collection which can be accessed at https://hstalks.com/business/.

View source

Similar papers

#federated learning Review Open access Sep 2026

AI Governance Frameworks for Privacy-Preserving Intelligent Systems: Integrating Trust, Compliance, and Secure Data Architectures

The analysis suggests that governance frameworks succeed when privacy-preserving technologies are embedded into system architecture from the outset rather than added afterward, when compliance obligations are translated into measurable technical requirements, and when trust is treated as an emergent property of verifia...

Hamed Taherdoost · 0 citations
Open access 2026

No borders for compliance: EU AI act obligations for non-EU digital agencies and tech companies

This paper addresses the critical problem of non-EU digital agencies and tech companies that service the EU market but remain largely unaware of or unprepared for their compliance obligations. The enforcement of the European Union Artificial Intelligence Act (EU AI Act) on August 2, 2026, introduces a comprehensive reg...

Ivana Denčić, S. Stanisavljev · 0 citations
Open access Oct 2026

Accountability and Transparency in AI Systems: A Human Rights Perspective

The proliferation of artificial intelligence across public and private sectors has positioned algorithmic decision-making at the heart of consequential outcomes, from criminal sentencing and credit scoring to healthcare allocation and employment screening. Yet the opacity of AI systems, combined with fragmented governa...

Nikita Sharma, Sandeep Saini · 0 citations
Review Open access Aug 2026

Navigating the patchwork: A cross-jurisdictional legal compliance framework for U.S. corporations deploying high-risk AI systems

U.S. corporations that deploy high-risk AI systems face a growing problem. AI regulation now comes from many sources at once: federal executive orders, agency guidance, state statutes and international rules such as the EU AI Act. These sources define key terms differently, impose different procedures and set different...

Eniola Yewande Fajimi · 0 citations
Aug 2026

Paradigm Shift in Classified Protection Compliance Standards for Data Security: A Critical Analysis under China's Data Security Law

Abstract:With China's adoption of the Data Security Law, a paradigm shift has occurred in the classified protection compliance system for data security, as data security emerges as a regulatory domain distinct from the traditional cybersecurity framework. This new paradigm seeks to balance stringent national security r...

Li Yang, Ze Zhao, Jie-Ren Hu · 0 citations
Review Open access 2026

Ethical Governance of AI-Driven Information Security: Balancing Data Privacy, Cyber Resilience, and Digital Trust in Organizations

A novel, unified governance framework centred on digital trust is proposed that distinctly integrates the AI Trust Framework and Maturity Model (AI TMM), the Tiered Ethical Cybersecurity Model (TECM), and privacy preserving technologies such as federated learning to operationalize ethics by design.

Muhammad Faris bin Nordin, Muhammad Din bin Khalid, Normal Mat Jusoh · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.