ISO/IEC 5338:2023 — AI System Life Cycle Processes
An international standard establishing life cycle processes and engineering frameworks for artificial intelligence systems.

THE TECHNICAL LANGUAGE OF DIGITAL B2B INFRASTRUCTURE
An international guideline for integrating risk management principles, a framework and a process into organizational governance and decision-making.
It gives leaders a common, adaptable approach for making uncertainty explicit in strategy, operations, projects and investment decisions.
An organization defines risk criteria for an automation program, identifies and analyzes operational, security and compliance risks, selects treatments, assigns owners and reviews residual risk at governance meetings.
ISO 31000 provides guidelines rather than certifiable requirements. Applying the vocabulary or maintaining a risk register does not demonstrate effective risk management without leadership, integration and evidence-based review.
The standard describes principles for effective risk management, a leadership and governance framework, and a process covering communication, scope and context, risk assessment, treatment, monitoring, review, recording and reporting. Its guidance can be tailored to an organization's context.
Cybersecurity, Systems Architecture
ISO — ISO 31000:2018 Risk management — Guidelines — https://www.iso.org/standard/65694.html; ISO Online Browsing Platform — ISO 31000:2018 — https://www.iso.org/obp/ui#!iso:std:65694:en
An international standard establishing life cycle processes and engineering frameworks for artificial intelligence systems.
International guidance on applying risk management principles specifically to artificial intelligence system lifecycles.
An international standard outlining methodology for conducting comprehensive impact assessments on AI deployments.
CPA-issued SOC 2 reports assess a vendor's controls for security, availability, processing integrity, confidentiality and privacy under AICPA rules.
A global benchmark establishing standardized terminology and core definitions for artificial intelligence disciplines.