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.