Stay updated with the latest industry insights on AI compliance.

The General Services Administration (GSA) has proposed a groundbreaking contract clause, GSAR 552.239-7001, aimed at establishing safeguarding requirements for artificial intelligence systems in federal contracts. Comments on this proposal are due by March 20, 2026, reflecting the government's growing emphasis on AI control, transparency, and accountability.

Rogo emphasizes its compliance with the EU AI Act ahead of the August 2026 deadline, validated by external auditors. This early alignment positions Rogo as a lower-risk vendor for regulated enterprises, enhancing its competitive standing in tightly supervised sectors.

The Trump administration has introduced a national AI policy framework that prevents states from establishing their own AI regulations, aiming to foster innovation and maintain a competitive edge against China. This centralization of authority in Washington is intended to provide tech companies with a unified regulatory environment while potentially sidelining local concerns regarding AI impacts.

The White House has unveiled a new artificial intelligence policy framework featuring seven key recommendations aimed at balancing citizen protections with the advancement of AI technologies. The framework addresses issues such as protecting children, safeguarding free speech, and developing an AI-ready workforce while urging Congress to preempt state laws that could hinder innovation.

This morning, the White House released a four-page "National Policy Framework for Artificial Intelligence," outlining the roles of state and federal governments in AI regulation. Key areas include federal preemption of state AI laws, child safety provisions, and the administration's stance on copyright issues related to AI training.

The White House has proposed a national framework for regulating artificial intelligence, urging Congress to prevent conflicting state laws that impose burdens on companies. The plan emphasizes a light-touch regulatory approach while addressing key priorities such as workforce training and support for small businesses.

The Trump administration has proposed a comprehensive legislative framework for regulating artificial intelligence, urging Congress to create a uniform federal standard to prevent a confusing array of state laws. Key provisions include child protection measures, energy costs, and intellectual property considerations, while the administration emphasizes the need for swift action despite previous legislative challenges.

On March 18, 2026, Senator Marsha Blackburn introduced the TRUMP AMERICA AI Act, aiming to establish the first comprehensive federal framework for regulating artificial intelligence in the U.S. The bill addresses key issues such as AI innovation, protection of minors, and liability, while also repealing Section 230 of the Communications Decency Act to hold platforms accountable for third-party content.

The proposed Trump America AI Act aims to establish a comprehensive regulatory framework for AI, introducing liability and duty of care for developers and deployers while preempting certain state regulations. This draft legislation also emphasizes protections for children and creator rights, alongside stringent audit requirements and innovation initiatives.

As generative AI technology advances, it poses significant challenges for the entertainment industry, particularly concerning intellectual property rights and the integrity of personal identity. Recent incidents involving AI-generated content have sparked legal and ethical debates, highlighting the need for updated laws to address these emerging risks.

The Supreme Court has adopted a governance framework for using artificial intelligence in the judiciary, emphasizing human-centered augmented intelligence to support, rather than replace, human decision-making. This framework, which prioritizes fairness, accountability, and transparency, will guide the ethical deployment of AI tools in court operations.

The Berkeley City Council has passed two resolutions providing a framework for AI usage, including "The Berkeley Rule," which outlines 10 guidelines to ensure AI serves the community effectively. These guidelines emphasize transparency, ethical use, and the importance of human oversight in AI implementation within city services.

The White House has released a policy blueprint for Congress, aiming to establish a federal framework for regulating artificial intelligence. This proposal seeks to streamline regulations, preempt state laws, and enhance protections for children while promoting AI innovation and skills training.

The EU AI Act is set to transform the asset management industry by introducing a risk-based framework to regulate AI systems, impacting how fund managers operate and compete. As AI technologies become integral to functions like portfolio optimization and risk modeling, compliance with these regulations will be essential to mitigate risks and enhance governance.

The European Parliament's recent Resolution on Copyright and Generative Artificial Intelligence indicates a potential shift in copyright policy, suggesting that traditional rules may not sufficiently address the realities of AI training. It proposes a flat rate licensing fee to compensate the creative industry, which could significantly impact AI developers globally.

Sen. Marsha Blackburn has unveiled a new framework for national regulation of artificial intelligence, which introduces stricter guidelines for developers and aims to establish a national standard for AI governance. Key aspects include restricting access to minors and addressing the unauthorized use of individuals' voices or likenesses.

Entro Security has launched a governance tool called Agentic Governance & Administration (AGA) to help enterprises manage AI agent connections and permissions within their systems. This product addresses the challenges posed by the rapid adoption of AI tools, providing visibility and control over both human and non-human identities accessing corporate resources.

The White House is expected to release a legislative framework for regulating AI on Friday, addressing key issues like child safety and preemption of state laws. However, policy disagreements in Congress remain unresolved, complicating the path forward for meaningful AI regulation.

SS&C Technologies has introduced its Enterprise AI Governance Framework, urging the industry to adopt open standards for deploying agentic AI in regulated environments. The framework aims to address the operational complexities of managing AI workflows at scale, emphasizing principles such as portability, auditability, and operational resilience.

The GSA has proposed a new contract clause, GSAR 552.239-7001, which imposes significant obligations on contractors providing AI solutions to the government, including strict data ownership and compliance requirements. This draft is open for public input until March 20, 2026, highlighting the urgent need for contractors to assess their current AI offerings and compliance frameworks against these new regulations.

A working group led by Gov. Jared Polis has proposed a significant rewrite of Colorado's AI Act, shifting the focus from high-risk AI to automated tools that materially influence decisions. The proposal aims to simplify compliance and introduce more business-friendly provisions while delaying the effective date to January 1, 2027.

A proposed overhaul of the Colorado AI Act aims to replace extensive AI governance mandates with a more targeted framework that emphasizes consumer notice and human review. This new approach is designed to be more business-friendly while addressing key aspects of accountability following adverse decisions.

AI chatbot liability is becoming a critical issue for Hong Kong investors as recent research reveals that large language models can mislead users. The implications for companies are significant, with courts treating chatbot responses as official statements, necessitating stronger governance and oversight to mitigate legal risks.

The LexisNexis Future of Work Report 2026 reveals that generative AI is rapidly transforming professional workflows, highlighting the urgent need for governance as adoption accelerates. With over half of professionals using genAI without formal approval, organizations must implement robust oversight to ensure responsible use and maintain trust in AI outputs.

California has enacted over 20 new AI laws effective January 1, 2026, aimed at regulating AI development, data privacy, and automated decision systems across various sectors. These comprehensive regulations seek to ensure transparency and consumer protection while balancing innovation in the rapidly evolving AI landscape.

RiskOpsAI™ and TrustModel.AI have announced a strategic alliance to launch GRAIL™, a unified AI governance and risk assurance framework for regulated enterprises, at RSA Conference 2026. This partnership aims to redefine standards for AI Trust, Safety, and Governance, providing organizations with tools to manage emerging risks and comply with evolving regulatory frameworks.

On March 17, 2026, Colorado Governor Jared Polis announced a unanimous consensus from a working group on a plan to revise the controversial Colorado AI Act. The new framework aims to regulate AI in a way that protects consumers while fostering innovation, focusing on developers and deployers of AI technology involved in consequential decisions.

Bedrock Data has expanded its ArgusAI platform to govern the enterprise AI risk surface, addressing the complexities of AI systems accessing sensitive data. This enhancement includes a new Model Context Protocol (MCP) server that provides direct access to data risk context, enabling organizations to manage AI-related risks effectively.

State lawmakers are rapidly implementing chatbot-specific regulations that require companies to disclose AI identity, establish safety protocols, and conduct audits for high-impact decision-making. Businesses must treat compliance as a critical product-safety initiative to avoid legal repercussions and reputational damage.

Visium Technologies has launched TruContext™ AI governance capabilities to secure autonomous agents and mitigate risks associated with unmanaged "Shadow AI." The platform enhances visibility and control over AI systems, aligning with Zero Trust principles to ensure accountability in AI deployment.

Lineaje has launched a platform that automatically discovers AI components in applications and generates governance policies to enhance security. This innovation allows DevSecOps teams to assess risks in real time and ensure continuous governance throughout the software development lifecycle.

Agentic Artificial Intelligence signifies a shift towards autonomous digital actors capable of executing complex tasks, raising new governance, security, and accountability challenges. This whitepaper outlines a structured governance framework to ensure the responsible adoption and scaling of agentic AI in enterprise environments.

Snowflake Inc. has invested in Bedrock Labs to enhance data governance within its AI Data Cloud. The partnership will integrate Bedrock's AI-driven data classification capabilities with Snowflake's services, addressing the challenges organizations face in managing sensitive data for AI workflows.