Stay updated with the latest industry insights on AI compliance.

AI hiring lawsuits are raising new legal challenges for employers, emphasizing transparency and accountability in algorithm use.

AI's image crisis: can policy papers shift public perception?

Urgent need for AI regulation in New Zealand, highlighting the growing gap between technology and governance, and the importance of establishing local standards to ensure sovereignty and resilience.

California's Bold Steps in AI Regulation

Combatting AI agent sprawl is urgent. Discover why organizations need a governance platform now to mitigate legal risks and ensure compliance in the era of unsupervised AI agents.

Bureau Veritas seizes AI compliance opportunity amid market uncertainty.

Zero-trust strategies are essential for managing AI-generated data risks in enterprises, especially given the proliferation of synthetic content and the risk of model collapse. This article explores the importance of implementing a zero-trust approach, the trends driving AI-generated data, regulatory developments, and strategic actions organizations can take to ensure data integrity and trust.

Enterprise AI Governance: Bridging the Action Control Gap

South Africa Unveils Draft AI Policy for Public Review

MHRA secures £3.6 million to enhance AI regulatory frameworks, supporting healthcare innovation.

xAI challenges Colorado's pioneering AI anti-discrimination legislation, raising legal questions about free speech and technological regulation.

Europe's first sovereign AI platform has launched to promote data sovereignty and compliance with European regulations.

AI governance framework to address compliance challenges across multiple jurisdictions in the pharmaceutical industry.

ClearScore has introduced the Agentic Credit Broking Protocol (ACBP), setting a new standard for regulating autonomous AI agents in the credit industry.

The Consent Challenge in AI Governance

Thoropass has released its 2026 State of Audit and Compliance Report, highlighting that AI adoption is now the leading source of compliance risk, with 69% of security leaders stating it is outpacing their controls. The report indicates that while compliance programs have matured, operational inefficiencies persist, particularly in evidence collection during audits.

In 2026, AI-powered RegTech is revolutionizing compliance by shifting from reactive to predictive systems that can identify potential breaches before they occur. The RegTech market is expected to surge to USD 82.8 billion by 2032, making compliance a critical competitive advantage for FinTech firms.

On February 13, 2026, Judge Jed S. Rakoff ruled that communications with generative AI platforms are not protected by attorney-client privilege, warning users to treat anything typed into these tools as potentially public. This ruling highlights the risks of using AI for legal analysis, particularly for non-lawyers, and emphasizes the importance of safeguarding privileged information.

A recent study by the Universitat Oberta de Catalunya explores who will set the rules for the future of artificial intelligence, focusing on governance models tied to private digital identities and biometric systems. The research highlights projects like World, co-founded by OpenAI's Sam Altman, which propose alternative governance frameworks that could undermine democratic legitimacy while promoting narratives of security and inclusion.

Europe's cautious approach to regulating artificial intelligence may undermine its security and economic growth amid a competitive global landscape. As the U.S. and China advance, Europe risks falling behind unless it balances innovation with necessary protections.

BigID has announced an expansion of its Data Access Governance (DAG) capabilities to include AI agents, ensuring better oversight and security for non-human entities operating within enterprise environments. The new features include agent identity discovery, access right-sizing, and real-time activity monitoring to enhance data governance and mitigate insider risks associated with AI.

The AI Act introduces a harmonized legal framework for the development and use of AI systems in the EU, focusing on accessibility obligations for information and interfaces. These requirements apply especially to high-risk AI systems and those subject to transparency obligations, ensuring that all users, including those with disabilities, can access critical information.

The White House has introduced a national legislative framework for artificial intelligence, favoring federal regulations over conflicting state laws. This unified approach aims to foster innovation while preparing the U.S. for an AI arms race against China.

Nominated Senator Karen Nyamu is preparing to introduce a bill in the Senate aimed at regulating Artificial Intelligence (AI) to combat the spread of fake news and protect personal rights. She emphasizes the importance of oversight to prevent the misuse of AI technologies, which can mislead the public and threaten jobs.

The AI Act establishes a legal framework for artificial intelligence systems in the EU, emphasizing the importance of accessibility for information and interfaces, especially for high-risk systems. It mandates that these systems comply with existing European accessibility directives and standards to ensure that they are perceivable, operable, understandable, and robust for all users, including those with disabilities.

Yubico has partnered with IBM and Auth0 to introduce a Human-in-the-Loop model for securely deploying AI agents, ensuring that high-risk automated actions require verified human approval. This collaboration aims to bridge the gap between AI autonomy and accountability, allowing organizations to harness the power of AI while maintaining trust and governance.

On March 18, 2026, U.S. Senator Marsha Blackburn proposed a legislative framework for artificial intelligence titled the "Trump America AI Act," aiming to establish uniform federal AI policies. The draft outlines measures for safety, governance, risk management, and innovation to protect citizens and promote AI development without excessive regulation.

The White House has introduced a national policy framework aimed at guiding the development and governance of AI, emphasizing child safety, innovation, and workforce development. This comprehensive proposal seeks to balance technological advancement with essential safeguards as AI adoption increases across the United States.

The White House recently released a "National Policy Framework" for artificial intelligence, outlining seven key legislative areas for Congress to address. These include protecting children, supporting innovation, and establishing a cohesive federal policy to enhance American AI dominance.

Agentic AI is transforming compliance from mere task execution to strategic risk detection, requiring leaders to own their AI, redefine roles, and orchestrate agents across fragmented systems. Embracing this shift will enhance risk detection and remediation effectiveness, positioning institutions for competitive advantage in a rapidly changing landscape.

On March 20, 2026, the White House unveiled its National Policy Framework for Artificial Intelligence, aiming to create a unified national AI policy to foster innovation and competitiveness. This Framework outlines seven key thematic policy areas for future AI legislation, focusing on protecting children, safeguarding communities, and supporting American leadership in AI.

Washington has enacted new AI regulations aimed at combating misinformation and safeguarding minors. These laws require AI chatbots to disclose their non-human status and prohibit them from engaging in manipulative conversations, especially with users under 18.

As AI rapidly advances, experts will gather in Auckland this April for a conference focused on the governance and regulation of artificial intelligence. The event aims to bridge the gap between the swift adoption of AI by governments and the lagging legal frameworks needed to ensure responsible use.