Agentic AIAI Agents and Tool Use
An AI agent selects actions and invokes tools, services, or workflows to pursue a goal across multiple steps.
AI assuranceAI Audit Evidence Integrity
AI audit evidence integrity is the ability to show that logs, model artifacts, data extracts, test results, approvals, and screenshots are authentic, complete, attributable, and unchanged.
AI auditAI Audit Hallucination Controls
AI audit hallucination controls prevent unsupported generated statements from being treated as evidence, criteria, citations, calculations, or conclusions.
AI engineering assuranceAI Configuration Reproducibility
AI configuration reproducibility means an authorized team can recreate the relevant model build or runtime behavior from recorded code, data references, parameters, dependencies, prompts, and infrastructure settings.
AI data securityAI Data Lifecycle Security
AI data lifecycle security protects information during collection, labeling, storage, use, sharing, retention, and deletion.
AI data engineeringAI Data Preparation
AI data preparation collects, cleans, labels, transforms, and partitions information for development and evaluation.