Securing AI: A Guide to Essential Standards, Regulations, and Frameworks
As artificial intelligence continues to reshape our digital landscape, the need for robust security standards and regulatory frameworks...
3 min read
top of page
AI Compliance
AI Compliance ensures that your AI systems operate within the boundaries of laws, regulations, and ethical standards, safeguarding trust and accountability. As global frameworks like the EU AI Act, NIST guidelines, and ISO standards shape the regulatory landscape, organizations must adopt proactive compliance strategies to mitigate risks, demonstrate transparency, and align AI technologies with societal and business values. Explore our solutions to navigate the complexities of AI compliance.
Top AI Standards & Regulations
NIST AI Risk Management Framework
A voluntary framework from the U.S. National Institute of Standards and Technology that provides guidance on managing risks in AI systems throughout their lifecycle, focusing on trustworthy AI development.
EU AI Act
The European Union's comprehensive regulatory framework for artificial intelligence, establishing rules for AI development and deployment based on risk levels. This is particularly notable as the first major legislative framework specifically designed for AI.
International Standards Organization
ISO/IEC 42001 - A standard for AI management systems that provides requirements and guidelines for organizations to develop and maintain responsible AI practices, similar to how ISO 9001 works for quality management.
ISO/IEC 23894 - Guidelines for AI risk management, providing specific guidance on identifying and managing risks associated with AI systems throughout their lifecycle.
OECD AI Principles
A set of intergovernmental policy guidelines for responsible stewardship of trustworthy AI, which has influenced many national AI strategies and regulations.
AI Compliance goes beyond regulatory checkboxes—it's the foundation that transforms powerful technology into trustworthy solutions.
AI Regulatory Readiness
Governance
Establish Accountability and Oversight
Define clear governance structures, assign accountability for AI systems, and ensure decision-making processes are traceable and transparent.
Inventory & Documentation
​Maintain Comprehensive Documentation
Maintain detailed records of data, model development, system design, and an AI asset and use case inventory to enable auditing, compliance verification, and accountability.
Risk Assessment
​Implement Risk Management Frameworks
Implement NIST AI RMF or similar framework for risk management. Proactively identify, assess, and mitigate AI risks and perform impact assessment for high risk AI applications.
bottom of page