During the annual In-House Counsel seminar, Mayukh Sircar provided vital insights on the strategic role of artificial intelligence (AI) in business, discussing the associated legal risks and evolving regulations. He emphasized the need for legal teams to proactively ensure AI adoption is both strategic and defensible amidst a complex regulatory landscape.
LatticeFlow AI has partnered with SAP to enhance AI risk management and governance for enterprises. This collaboration provides deep technical assessments and continuous monitoring, ensuring that businesses can effectively manage AI risks and comply with regulatory requirements.
As artificial intelligence becomes integral to modern enterprises, security must evolve beyond reactive defenses to ensure lifecycle governance. This shift emphasizes continuous monitoring and risk management, integrating AI governance into the very infrastructure of organizations.
Guam’s newly formed Artificial Intelligence Regulatory Task Force held its first meeting to develop a comprehensive regulatory framework for AI technologies, addressing concerns like AI crimes and deepfakes. The task force, created under Public Law 38-77, is required to deliver final recommendations within 18 to 20 months, with various subcommittees focusing on different aspects of AI regulation.
AI agents are rapidly entering enterprise environments, often outpacing existing governance frameworks. To effectively manage these agents, organizations must classify them by autonomy level and implement strict controls to mitigate risks associated with privileged access.
The Indonesian government is drafting a Presidential Regulation on Artificial Intelligence to create a governance framework that promotes ethical and accountable innovation. This regulation aims to balance the opportunities of AI with the challenges it presents, ensuring that technological advancements benefit society while managing risks effectively.
The article explores the complexities of export controls under ITAR as they relate to AI-enabled defense technologies, emphasizing the need for companies to navigate regulatory challenges associated with algorithms and data. Compliance frameworks must evolve to address the unique risks posed by AI systems integrated into military applications.
SailPoint has entered a strategic collaboration with Amazon Web Services to enhance identity governance for AI agents operating on AWS. This partnership aims to create a unified framework for managing human, machine, and agent identities, ensuring security and compliance as enterprises increasingly adopt agentic AI.
New Zealand risks losing control over artificial intelligence in critical sectors unless it introduces its own binding legislation and develops sovereign capabilities. Experts warn that without tailored regulation, the influence of AI systems on decision-making processes will grow, potentially leading to accountability issues.
On March 6, 2026, the U.S. General Services Administration (GSA) introduced a draft contract clause focused on the government’s use of AI, which aims to define terms and requirements for contractors. This clause mandates that agencies receive a non-exclusive license to use AI systems for lawful government purposes and imposes several compliance requirements related to the use of AI in contracts.
