Industry Standards - Knowledge Base

Global AI Industry Standards

Align with international AI development standards for ethical, secure, and scalable solutions

International standards for AI governance and risk management

U.S. national standards for protecting controlled unclassified information

Standard for Trustworthy AI systems with fairness, transparency, and accountability

Europe's AI security risk management framework (ENISA)

Ethical considerations in system design with ethical design principles

Evaluate current systems against AI governance standards including data fairness, accuracy, and system resilience

Implement controls for transparency logging, bias detection, and secure model deployment

Regularly audit and test systems for compliance with certification requirements

Privacy Impact Assessor

Privacy risk assessment tool for data processing

Bias Detector

Identifies fairness issues in model predictions

Compliance Dashboard

Real-time regulatory status tracking system