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ISO Frameworks

International standards guiding BrightState's AI development.

BrightState aligns its development processes with international ISO/IEC standards for AI systems, trustworthiness, and information security.

These frameworks provide technical and organizational guidance for building safe, reliable, and compliant AI systems.

Key ISO Standards We Follow

ISO/IEC 22989:2022

Artificial Intelligence Concepts and Terminology

Establishes a common vocabulary for AI systems. Ensures we describe capabilities, risks, and limitations consistently with global standards.

ISO/IEC 23053:2022

Framework for Artificial Intelligence Systems Using Machine Learning

Provides architectural guidance for ML systems. Covers data quality, model validation, performance monitoring, and lifecycle management.

ISO/IEC 27001:2022

Information Security Management Systems

Global standard for information security. Guides our approach to risk assessment, access controls, encryption, and incident response.

ISO/IEC 42001 (Forthcoming)

AI Management Systems

The first international standard specifically for AI management systems. We track its development to ensure alignment as it is finalized.

How ISO Standards Shape Our Work

Standardized Terminology:

ISO 22989 ensures we use consistent language when describing AI capabilities, so clients understand exactly what systems can and cannot do

ML Lifecycle Management:

ISO 23053 guides our approach to data preparation, model training, validation, deployment, and continuous monitoring

Information Security:

ISO 27001 principles inform our access controls, encryption standards, vulnerability management, and security incident procedures

Risk-Based Approach:

ISO frameworks encourage proportionate controls. We assess risk severity and apply controls accordingly, avoiding over-engineering or under-protection

ISO Alignment in Practice

Data Quality (ISO 23053)

Before training models, we validate data completeness, accuracy, consistency, and representativeness. Poor data quality leads to unreliable models—ISO 23053 ensures we catch issues early.

Model Validation (ISO 23053)

Models are tested against holdout datasets, edge cases, and adversarial inputs. We document performance metrics, limitations, and failure modes before deployment.

Access Control (ISO 27001)

Role-based access control (RBAC) ensures only authorized users can access sensitive data or system functions. Audit logs track all access attempts.

Continuous Monitoring (ISO 23053)

Models are monitored for accuracy drift, bias, and anomalies. Alerts trigger when performance drops below thresholds, prompting investigation and potential retraining.

Incident Response (ISO 27001)

Security incidents follow defined procedures: containment, investigation, remediation, notification, and lessons learned. Response plans are tested annually.

Certification & Compliance

While BrightState is not yet formally ISO-certified, our processes are designed in alignment with these standards. We plan to pursue formal certification as the organization scales.

ISO alignment demonstrates our commitment to building systems that meet international best practices for safety, security, and trustworthiness.

Questions about our ISO alignment or certification roadmap? Contact us at contact@brightstate.ai or call 07553 484887.

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