AI Governance as a Service

Your path to AI compliance —
and beyond

From certification readiness to ongoing governance, ArtiGen guides you every step of the way — so you can focus on growing your business, not managing frameworks.

NIST AI RMF EU AI Act ISO 42001 ISO 27001 SOC 2 SR 11-7 MITRE ATLAS Fractional CAIO

Step 1 · Gap Assessment

AI Gap Assessment & Audit

A structured cross-framework analysis that identifies exactly where your AI governance posture stands against each regulation — and what it takes to close the gap.

GOVERN · MAP

AI System Inventory & Risk Classification

Catalogue every AI system, classify by risk tier, and build a unified cross-framework control register. Covers NIST Govern/Map and EU AI Act Article 9.

Key Controls

System registerRisk tiering Cross-framework mappingOwner assignment
MEASURE

Model Validation & Conceptual Soundness

Independent validation of model logic, training data, and performance. SR 11-7 three-lines-of-defense applied to LLMs and classical ML alike.

Key Controls

Validation protocolBenchmark testing Bias evaluationExplainability (SHAP/LIME)
DATA GOV

Data Governance & Privacy Controls

Verify training data legitimacy; document lineage; align with GDPR/CCPA AI obligations. ISO 42001 Annex A.8 and ISO 27001 A.8 asset controls.

Key Controls

Data lineageConsent management PII de-identificationRetention policies
GOVERN

AI Governance Structure & Leadership

Establish board-level AI oversight, appoint a governance lead, and build a cross-functional committee. Aligns ISO 42001 Clause 5 and NIST GV.RR.

Key Controls

CAIO charterRACI matrix Policy frameworkBoard reporting
HIGH-RISK

Conformity Assessment & CE-Marking

Technical documentation, fundamental rights impact assessments, and conformity evidence for EU AI Act high-risk systems. August 2026 enforcement deadline.

Key Controls

Technical fileFRIA documentation Human oversight designCE-marking
MITRE ATLAS

Adversarial AI & Prompt Injection Defense

Map adversarial tactics from MITRE ATLAS — model evasion, data poisoning, prompt injection. Implement detection, guardrails, and incident response.

Key Controls

Input filteringOutput guardrails Red-teamingAttack simulation
ISO 27001

AI Security Controls & Access Management

Extend ISO 27001 ISMS to AI-specific surfaces: model APIs, training pipelines, RAG datastores, and inference endpoints. Covers A.8.24 AI system controls.

Key Controls

API access controlsPipeline hardening Secrets managementSIEM integration
MONITOR

Continuous Monitoring & Drift Detection

Real-time tracking of performance drift, hallucination rates, and bias. Covers NIST MANAGE MG.4 and SR 11-7 ongoing monitoring obligations.

Key Controls

KL Divergence / PSIHallucination rate Fairness metricsAlerting / dashboards
FAIRNESS

Bias Testing & Fairness Assessment

Structured bias evaluation across protected attributes — EU AI Act Article 10 data quality, ISO 42001 A.6.2 AI impact assessment, NIST MEASURE 2.5.

Key Controls

Disparate impact testingCounterfactual analysis Demographic parityRemediation workflow

Step 2 · Readiness & Implementation

From gap findings to audit-ready

We implement the policies, technical controls, and governance processes across every framework — guiding you through to a clean, successful audit.

Scoping & cross-framework register

Define AI system inventory, assign risk tiers, and build a unified control register mapping NIST AI RMF, EU AI Act, ISO 42001, ISO 27001, SR 11-7, and MITRE ATLAS simultaneously — eliminating duplicate evidence collection.

NIST GOVERN ISO 42001 §4–5 EU AI Act Art. 9 ~2–4 weeks

Policy & procedure build-out

Develop AI use policy, acceptable use guidelines, data governance procedures, model lifecycle management, human oversight protocols, and vendor AI risk policies — all framework-mapped and audit-ready.

ISO 42001 Annex A NIST GV.PO SR 11-7 Gov. ~3–6 weeks

Technical controls implementation

Deploy hallucination guardrails, prompt injection defenses (MITRE ATLAS), bias monitoring pipelines, explainability tooling (SHAP/LIME), and access controls over AI APIs and training data pipelines.

MITRE ATLAS ISO 27001 A.8 NIST MANAGE 4–8 weeks

Internal audit & certification readiness

Conduct Stage 1 readiness audit, address non-conformities, prepare technical documentation packages, evidence binders, and manage auditor engagement for ISO 42001, ISO 27001, and SOC 2 certification.

ISO 42001 cert. ISO 27001 cert. SOC 2 Type II Certification milestone

Step 3 · AI CaaS

AI Compliance as a Service

Compliance isn't a one-time checkbox — it's a journey. AI CaaS keeps you audit-ready year-round with continuous monitoring, governance management, and fractional CAIO advisory.

Continuous Control Monitoring

Real-time drift detection (KL Divergence, PSI, KS Test)
Hallucination rate tracking across deployed LLMs
Guardrail activation monitoring and alerting
Meets EU AI Act Art. 72 post-market surveillance
NIST AI RMF continuous monitoring requirements

Scheduled Internal Audits

Quarterly AI model performance and risk reviews
ISO 42001 annual surveillance audit preparation
SR 11-7 independent model validation cycles
Bias & fairness re-evaluation on schedule
Evidence collection and audit trail maintenance

Framework Change Management

EU AI Act enforcement milestone tracking (Aug 2026+)
NIST AI RMF profile updates and re-mapping
ISO 42001 3-year recertification management
Regulatory change alerts and impact analysis
MITRE ATLAS technique updates and control refresh

Fractional CAIO Services

Board-level AI governance reporting and advisory
Regulatory liaison and examiner engagement
AI strategy and responsible AI roadmap
Cross-functional AI oversight committee leadership
Vendor AI risk assessments and third-party reviews

AI Risk Management Framework

Cross-Framework Risk Register

A unified view of AI risks mapped across all six frameworks — with severity, responsible owner, and mitigating controls.

Risk Severity Frameworks Control Measures Owner
Hallucination & Output Inaccuracy Critical NIST MG.2 EU Art.9 SR 11-7 RAG grounding, confidence scoring, human-in-the-loop gates for high-stakes decisions, semantic consistency checks, real-time hallucination rate monitoring AI Eng + Model Risk
Prompt Injection & Adversarial Attack Critical MITRE ATLAS ISO 27001 NIST ID.RA Input sanitization, prompt validation, system prompt isolation, red-team testing, MITRE AML.T0051 countermeasures, agent sandboxing Security / CISO
Training Data Privacy Breach Critical ISO 42001 A.8 ISO 27001 EU AI Act PII scrubbing pre-training, differential privacy, data lineage documentation, access controls on training datasets, GDPR AI data obligations Data Gov / DPO
Algorithmic Bias & Discrimination High ISO 42001 A.6 EU Art.10 NIST MS.2.5 Disparate impact testing, counterfactual fairness analysis, demographic parity monitoring, FRIA for EU high-risk systems AI Ethics / Legal
Model Drift & Performance Degradation High SR 11-7 NIST MG.4 ISO 42001 §9 Real-time drift detection (PSI, KS test), automated retraining triggers, performance SLA dashboards, quarterly model reviews MLOps / Model Risk
Opaque / Unexplainable Decisions High EU Art.13 SR 11-7 NIST MS.2.6 SHAP/LIME explainability artifacts per inference, decision audit trails, plain-language explanations, XAI documentation for auditors AI Engineering
Incomplete Model Inventory (Shadow AI) High SR 11-7 #1 ISO 42001 §6 NIST GV.OV Automated AI asset discovery, mandatory model registration gate, AI procurement policy, shadow AI detection, regular inventory attestation CAIO / IT Gov
Third-party AI Vendor Risk Medium ISO 42001 A.10 ISO 27001 A.5 EU Art.28 Vendor AI risk questionnaire, contractual AI governance requirements, supplier attestation, annual third-party model audits Procurement / Legal
Regulatory Non-compliance / Fines Medium EU AI Act ISO 42001 SR 11-7 Compliance calendar with EU AI Act enforcement milestones, continuous control monitoring, regulatory change feed, board reporting cadence Legal / Compliance

Risk Mitigations · Best Practices

Hallucination, Privacy, Security & Fairness

Industry best practices drawn from PwC, EY, McKinsey, ServiceNow, and leading AI governance research — mapped to the controls ArtiGen implements for you.

Hallucination Mitigation

McKinsey · NIST AI RMF MEASURE · SR 11-7 2026 Behavioral Analysis

RAG with verified datastores — ground LLM outputs in curated, version-controlled knowledge bases; restrict open-internet retrieval for high-stakes use cases
Confidence scoring & uncertainty quantification — surface model confidence to end users; auto-escalate low-confidence outputs for human review
Semantic consistency checks — prompt-variance testing (SR 11-7 2026 evolution) to detect inconsistent responses across paraphrased inputs
Human-in-the-loop gates — mandatory human review for consequential decisions as required by EU AI Act high-risk obligations
Real-time hallucination rate dashboards — daily monitoring replacing quarterly reviews per SR 11-7 modern evolution guidance

Data Privacy Controls

EY · ISO 42001 A.8 · ISO 27001 · GDPR AI Guidelines

Training data PII scrubbing — automated detection and de-identification before model training; document lineage per ISO 42001 Annex A.8
Differential privacy techniques — mathematical noise addition to prevent membership inference attacks on sensitive datasets
Data minimization by design — restrict AI systems to only necessary data; enforce at API and RAG retrieval layers
Consent and purpose binding — verify training data consent for AI use; flag purpose drift when models are re-used for new use cases
Right to explanation workflows — GDPR Art. 22 / EU AI Act Art. 13 compliant explanation mechanisms for automated decisions affecting individuals

AI Security Controls

MITRE ATLAS · ServiceNow SecOps · ISO 27001 A.8.24 · PwC

Prompt injection defense — input sanitization, system prompt isolation, indirect injection monitoring in agentic workflows (ServiceNow 2025 guidance)
MITRE ATLAS red-teaming — structured simulation covering model evasion (AML.T0015), data poisoning (AML.T0020), and model extraction (AML.T0035)
AI API access hardening — least-privilege access to inference endpoints, secrets management, rate limiting, anomaly detection in model API logs
Supply chain security — provenance verification of pre-trained models; scan for backdoors and data poisoning artifacts before deployment
Continuous threat intelligence — integrate MITRE ATLAS technique updates into quarterly reviews; update guardrail rules and detection signatures accordingly

Fairness & Bias Controls

McKinsey · EY · ISO 42001 A.6.2 · EU AI Act Art. 10

Pre-deployment bias audit — disparate impact analysis across protected attributes before any high-risk AI system goes live
Counterfactual fairness testing — verify outcomes don't change when protected attributes are flipped; embed in CI/CD pipeline for continuous evaluation
Fundamental rights impact assessment — mandatory FRIA documentation for EU high-risk AI systems under Art. 27; assess impacts on vulnerable groups
Diverse & representative training data — audit datasets for demographic gaps; document and remediate per ISO 42001 Annex A.8 data quality controls
Post-deployment fairness monitoring — real-time demographic parity tracking; auto-suspend model if fairness thresholds are breached

Ready to begin?

Let's align on scope and maturity

We'll recommend a plan that fits your needs and budget — from a first gap assessment to full AI CaaS coverage across every framework.