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Flash Findings

How to Ace the Regulatory Compliance Test in 2025

Thu., 19. December 2024 | 1 min read

Quick Take 

The regulatory landscape for technology is evolving rapidly, with frameworks like the EU AI Act and U.S. state-level AI laws introducing stringent compliance demands. CIOs must prioritise investments in advanced compliance tools and agile strategies to navigate this complexity effectively.

Why You Should Care

  1. Regulatory Complexity is Increasing: In 2024, global and regional regulations, including the EU AI Act and state-level U.S. laws, introduced stringent requirements for AI and data privacy. Often inconsistent across jurisdictions, these laws complicate compliance for enterprises operating in multiple regions--increasing their risk of financial penalties and reputational damage.
  2. Compliance Technology is Evolving: The adoption of AI-driven compliance tools, such as Large Language Models (LLMs) and Governance, Risk, and Compliance (GRC) platforms, is enabling organizations to automate compliance tasks, conduct risk assessments, and draft regulatory documentation efficiently. These technologies are crucial to managing the dynamic regulatory landscape and maintaining a competitive edge.
  3. Global Collaboration and Divergence is Happening: While some regions, like the EU, focus on unified approaches to AI regulation, others, such as the U.S., present a fragmented regulatory environment. This divergence creates challenges for multinational organizations and opportunities to influence regulatory harmonization through industry advocacy and partnerships.

What You Should Do Next

CIOs should immediately assess their organization’s current compliance posture, identify gaps, and invest in AI-enabled compliance technologies. Proactively monitoring legislative changes and adopting flexible, multi-jurisdictional strategies will mitigate risks and ensure operational resilience.

Get Started

  1. Leverage advanced tools. Implement LLMs and GRC platforms to automate compliance monitoring, streamline documentation, and enhance risk management capabilities.
  2. Use regulatory sandboxes. Test AI systems in controlled environments to ensure compliance with new regulations before market deployment.
  3. Train teams. Regularly update IT and compliance teams with workshops and certifications to maintain alignment with evolving regulations.

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