Relyance AI's AI Bias Detection is a continuous monitoring capability within the Relyance AI governance platform, designed to detect and trace bias in AI models operating in production environments. Unlike point-in-time audit approaches, the platform monitors AI models in real-time, tracking bias, data drift, and performance metrics side-by-side on an ongoing basis. It automatically discovers AI models and enables teams to apply fairness policies as code, triggering automated alerts the moment a fairness threshold is crossed. A core feature is end-to-end data lineage tracking, referred to as "Data Journeys," which allows teams to trace a prediction back through the entire data lifecycle — from raw input through ETL pipelines, third-party data joins, and feature engineering steps — to identify the exact transformation where bias was introduced. The platform translates technical fairness metrics (e.g., disparate impact ratios) into compliance-relevant signals through a policy-as-code framework, producing auditable records that are meaningful to both engineering and legal/governance teams. When a threshold is violated, the system generates documented events that capture not just the detection but the policy violation and remediation steps taken. The solution targets compliance with regulations such as the EU AI Act (Regulation (EU) 2024/1689) and voluntary frameworks such as ISO/IEC 42001:2023, supporting organizations in demonstrating consistent, enforceable fairness policies to regulators.