Attestation

Attestation is a formal process for verifying and certifying that an AI model or system has met predefined governance and compliance criteria.

All Terms
AI Audit Framework
AI Compliance Architecture
AI Control Layer
AI Governance Act
AI Lifecycle Alignment
AI Model Assurance
AI Operationalization Strategy
AI Risk Assessment
AI Standards Integration
Algorithm Accountability
Algorithmic Audit Trail
Attestation
Baseline Model Compliance
Behavioral Model Audits
Benchmarking AI Performance
Bias Detection Engine
Black Box Explainability
Business Impact Tracking
Business Model Governance
Cognitive Model Supervision
Compliance Policy Orchestration
Continuous Model Monitoring
Control Framework for AI
Cross-Functional Review Board
Data Governance Alignment
Data Lineage for Models
Decision Intelligence Control
Deployment Governance Rules
Drift Detection Protocol
Dual Approval Workflow
Enterprise Risk Model Registry
Explainability Enforcement Layer
Failure Mode Mapping
Fairness Metrics Framework
Federated Governance Engine
Forecast Governance Toolkit
General AI Risk Framework
Governance Gateway
Governance Gradient Boosting
Governance Grid
Governance Guardrails
Granular Access Controls
Human-in-the-Loop Ops
Hybrid Governance Models
Impact Risk Estimator
Inference Path Tracker
Integrated Model Registry
K-Means Model Governance
KPI Governance Dashboard
Key Model Indicator (KMI) Metrics
Knowledge-Aware Ops
Known Risk Integration
Licensing Governance Protocol
Lifecycle Management Hub
Lineage Mapping Dashboard
Operational Risk Modeling
Ops-to-Governance Connector
Optimization Governance Suite
Performance Deviation Tracker
Policy Management Engine
Predictive Governance Insights
Regulatory Alignment Module
Risk Scoring Matrix
Standards Governance Framework
Validation Lifecycle Manager
Variable Risk Segmentation
Version Control for Models
Visual Audit Dashboard
Workflow Governance Engine