Announcing Agent Commander - The First Integrated solution from Veeam + Securiti.ai enabling the scaling of safe AI agents

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Veeamon Tour'26 - Data & AI Trust CONVERGE for the Agentic Era

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Growing Governance of ADMT & Agentic AI in the Americas

In this whitepaper, you will learn about:

  • The shift from centralized to fragmented AI governance, including key regulatory trends in the Americas
  • Emerging regulations such as ADMT and their impact on AI oversight
  • Governance challenges and strategies for agentic AI in a complex regulatory environment
  • Best practices for enterprises to navigate fragmented regulations and enable scalable AI governance with Securiti

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AI governance is diverging globally, with the EU’s centralized AI Act contrasting the fragmented, state-led approach in the Americas. In the U.S., a lack of federal law has created a patchwork of regulations, especially around ADMT in sectors like healthcare, finance, and employment, while oversight of agentic AI is still emerging.

This complexity challenges enterprises to balance compliance with innovation. Many are adopting proactive governance frameworks focused on risk, transparency, and accountability. Early investment in scalable AI governance will be key to managing risk and maintaining competitive advantage.

 

Growing Governance of ADMT & Agentic AI in the Americas

Award-winning technology, built by a proven team, backed by confidence. Learn more.


Frequently Asked Questions (FAQs)

Although several countries are drafting AI regulations, the EU (AI Act), China, the U.S. (sector/state-level), Canada, Brazil, and notable others are leading in formal regulatory development.

Although there is no comprehensive federal AI law, there is a National Policy Framework for AI that was recently introduced pursuant to the Dec 11 AI order.

According to IBM, Agentic AI is an artificial intelligence system that can accomplish a specific goal with limited supervision. It consists of AI agents and machine learning models that mimic human decision-making to solve problems in real time.

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