AI Governance

ISO/IEC 23659:2024 (AI Risk Mgmt)

Adhering to ISO/IEC standards during software migrations is critical for ensuring quality, reliability, and compliance. These standards provide a framework that helps organizations mitigate risks, maintain data integrity, and build stakeholder confidence. By implementing best practices and utilizing the right tools, teams can successfully navigate the complexities of migration projects while adhering to these crucial guidelines.

by ISO/IEC Joint Technical Committee

NIST AI RMF 1.0

Integrating NIST standards into your software migration projects ensures a secure and compliant transition from legacy systems. By focusing on security, regulatory adherence, and best practices, you can safeguard data integrity and build trust among stakeholders, making your migration efforts more efficient and reliable.

by National Institute of Standards and Technology

EU AI Act Proposal 2024

Navigating compliance standards during software migrations is essential for minimizing risks and ensuring legal and regulatory adherence. This guide outlines key requirements, practical strategies for maintaining compliance, and tools to facilitate a smooth migration process, empowering teams to transition with confidence and integrity.

by European Union

IEEE 7001-2021 (AI Transparency)

Adhering to IEEE standards during software migrations is crucial for minimizing risks and ensuring system reliability. By understanding key requirements, implementing effective processes, and utilizing appropriate tools, teams can enhance collaboration and boost confidence in their migration strategies. This structured approach leads to smoother transitions and successful outcomes.

by Institute of Electrical and Electronics Engineers

IEEE 7002-2022 (AI Privacy Data)

Adhering to IEEE standards during software migrations is essential for minimizing risks, enhancing communication, and ensuring regulatory compliance. This comprehensive guide outlines key requirements, practical steps for compliance, and tools to facilitate successful migration projects while addressing common challenges that teams may face.

by Institute of Electrical and Electronics Engineers

ISO/IEC 22989:2022 (AI Concepts)

Adhering to ISO/IEC standards during software migrations is essential for ensuring data integrity, security, and stakeholder confidence. This guide outlines key requirements, compliance considerations, and practical steps to ensure your migrations align with these globally recognized standards, helping you mitigate risks and achieve successful outcomes.

by ISO/IEC Joint Technical Committee

ISO/IEC 23053:2022 (AI Lifecycle)

Adhering to ISO/IEC standards during software migrations is essential for ensuring data integrity, security, and operational efficiency. By implementing thorough documentation, quality assurance checks, and leveraging appropriate tools, teams can effectively manage migration risks and enhance stakeholder confidence.

by ISO/IEC Joint Technical Committee

ISO/IEC 42001:2023 (AI management system)

Management system requirements for establishing, implementing, and continually improving an AI management system (AIMS).

by ISO/IEC

NIST AI Risk Management Framework 1.0

Guidelines to integrate trustworthiness considerations into the design, development, and deployment of AI systems.

EU AI Act (Political Agreement)

First comprehensive regulatory framework for trustworthy AI in the European Union.

Microsoft Responsible AI Standard v2

Company-wide governance framework translating principles into measurable requirements.