Certification in development

Flagship Professional Certification

AIGRAP™

AI Governance, Risk & Assurance Professional

AIGRAP™ is a professional certification in development for people who evaluate AI governance, risk and controls, assess supporting evidence, and communicate assurance conclusions across the AI lifecycle.

PROFESSIONAL CREDENTIAL

AIGRAP
Focus
Governance, risk & assurance
Level
Professional
Status
In development
Owned, governed and issued by Polaris Micro LLC, USA through Polaris Micro Institute.
Proposed Scheme Design100 Scored Questions (Proposed)120 Minutes (Proposed)3-Year Credential (Proposed)

Purpose

Professional competence across the AI lifecycle.

AIGRAP™ connects governance, risk, compliance, controls, monitoring, audit and assurance in one professional certification.

Its intended focus is professional judgment: evaluating whether controls address identified risks, determining whether evidence supports findings, and communicating the scope and limitations of assurance conclusions.

Status: AIGRAP™ is in development and is not yet open for examination or certification applications.

Body of Knowledge

Twelve examination domains.

These draft weightings show the current scheme structure and remain subject to formal approval before applications open.

01 · 8%

AI Foundations and Lifecycle

AI concepts, system components, lifecycle stages and operational dependencies.

02 · 12%

AI Governance and Accountability

Decision rights, roles, policies, oversight and accountable lifecycle governance.

03 · 12%

AI Risk Management

Risk identification, analysis, evaluation, treatment and reporting.

04 · 8%

Responsible and Trustworthy AI

Fairness, transparency, explainability, safety and meaningful human oversight.

05 · 10%

Regulatory Compliance and Policy

Applicable obligations, policy design and traceable compliance control mapping.

06 · 8%

AI Security and Resilience

AI threats, security controls, incident response, continuity and recovery.

07 · 8%

Data Privacy and Data Governance

Data quality, provenance, privacy and governance across the AI lifecycle.

08 · 7%

Third Party and Supply Chain AI Governance

Due diligence, contractual controls and monitoring of external AI dependencies.

09 · 10%

AI Controls and Control Testing

Control design, implementation and tests of operating effectiveness.

10 · 6%

Monitoring and Continuous Oversight

Metrics, drift, incidents, change and ongoing governance review.

11 · 6%

AI Audit and Evidence

Criteria, scope, evidence, testing, findings and audit traceability.

12 · 5%

AI Assurance and Reporting

Defensible conclusions, limitations, residual risk and stakeholder reporting.

AIGRAP Competency Model

From governance to assurance.

The certification follows a connected professional chain rather than treating governance, risk, compliance and assurance as separate disciplines.

GovernanceRiskComplianceControlsMonitoringAuditAssurance

Assessment

Examination and certification.

The planned examination is intended to assess knowledge and professional judgment through questions and scenarios, including evaluation of controls and supporting evidence. This format does not demonstrate practical performance through a laboratory or workplace assignment.

Certification Authority

Ownership and decisions remain with Polaris.

The credential is governed separately from training delivery.

AIGRAP™

Register your interest.

Receive information when the Body of Knowledge, candidate requirements and launch schedule are published.