AIGP
Artificial Intelligence Governance Professional
AI risk, governance, and regulatory literacy (EU AI Act, NIST AI RMF).
› Quality score
Four-axis SecProve rubric, each 0–10. SecProve editorial assessment — each axis carries a written justification so you can push back on any single call without dismissing the whole score.
› Market signals
public, citable inputs to the recognition scoreLaunched 2024; rapid adoption among DPO / AI governance roles.
› Built for these roles
› Exam format
100 multiple-choice questions over 2.5 hours, English. Online proctored via IAPP/Pearson. New credential (launched 2024) — content tracks the NIST AI RMF, EU AI Act, and ISO/IEC 42001.
30-day wait between attempts. IAPP member discounts available.
› Recertification
20 CPE credits over two years (avg 10/yr) plus the $250/yr IAPP membership fee.
› 3-year cost of ownership
Excludes study materials, training, retake risk, and lost-wage opportunity. Use as a floor estimate.
› NICE Framework work roles
The NIST NICE work-role IDs this cert maps to. NICCS lookup.
› Core domains covered
The 3 domains this cert is centrally about. Passing the exam demonstrates working knowledge of each.
EU AI Act compliance, NIST AI RMF, AI risk assessment, model cards, algorithmic auditing, AI incident response.
Risk frameworks (NIST RMF, ISO 31000, FAIR), policy development, audit, regulatory compliance, third-party risk.
Guardrails, content filtering bypass, model monitoring, drift detection, output control.
› Also touched
Present in the blueprint but not the primary focus — you’ll be introduced but shouldn’t expect depth.
Data classification, encryption-at-rest/in-transit, DLP, tokenization, privacy-by-design, plus the regulatory stack (GDPR, CCPA, HIPAA) that sets the bar.
Training data poisoning, PII leakage from models, differential privacy, federated learning security.
AI-assisted audit, automated policy mapping, AI-driven risk scoring, compliance monitoring.
› Prerequisites
Privacy, compliance, or AI governance background. Still-emerging credential — content tracks the NIST AI RMF and EU AI Act closely.
- AI lifecycle and risk taxonomy (NIST AI RMF)
- EU AI Act and major AI-governance frameworks
- Model governance, documentation, and audit
› Progression
requiredrecommendedWhere this cert fits in the typical learning path. Required edges are vendor-gated; recommended edges reflect de facto industry progression.
No vendor-gated prereqs.
No certs require this one.
› Study materials
Curated starting points. Not exhaustive — vet each against your learning style and the current exam version.
- IAPP AIGP Practice Exam
› Version & lifecycle
First major AI governance certification. Body of knowledge will likely refresh to reflect EU AI Act enforcement and NIST AI RMF updates.
› Salary signal
AI governance / responsible AI program lead, US, 3–7 years. New role category — broad range.
IAPP Privacy Salary Survey extrapolation + early AI-governance role postings · 2024 · US base only · p25–p75 range
› How it compares
CIPP/E is the established privacy track; AIGP is the AI-specific extension. Often paired.
↔ Compare side-by-side› Careers that commonly pursue this cert
Build privacy into systems by design. Navigate GDPR, CCPA, and emerging AI privacy regulations.
The policy/controls counterpart to the AI Security Engineer — owns risk frameworks, regulatory mapping (EU AI Act, NIST AI RMF), model documentation, and AI incident response policy.
See this cert’s domains highlighted on the interactive map, or compare it against the rest of the catalog.