Overview

Agent Trust Score is a comprehensive framework for evaluating both data integrity and model performance across the AI lifecycle. It measures systems across eight dimensions — diversity, timeliness, security, discoverability, consumability, accuracy, fairness, and explainability — and generates a quantifiable trust score (0–100). Based on this score, AI systems are classified from Not Trustworthy to Excellent, helping enterprises benchmark and continuously strengthen trust in AI.

Key Capabilities

• Continuous Trust Assurance – Always-on monitoring of AI systems across data and model dimensions.

• Bias & Fairness Audits – Detect, measure, and mitigate biases in datasets and models.

• Explainability & Transparency – Provide interpretable insights into model decision-making.

• Regulatory Compliance – Built-in alignment with Microsoft RAI, EU AI Act, and GDPR standards.

• Audit-Ready Reporting – Instantly export compliance and risk assessment reports.

• Azure Native Integration – Seamless monitoring across Azure Machine Learning, Data Lake, DevOps, and Arc in hybrid or multi-cloud environments.

Business Impact

• Improved AI Reliability – Quantifies system trustworthiness to reduce risks.

• Regulatory Confidence – Ensures compliance with global AI governance standards.

• Operational Efficiency – Automates audits and risk assessments, saving time and resources.

• Enterprise Trust Building – Enhances transparency, accelerating enterprise-wide AI adoption.

Intended Users

• AI/ML Teams & Data Scientists

• Responsible AI Officers

• Risk & Audit Teams

• Compliance Managers

• Product Owners & Executives

Industries

Agent Trust Score is valuable for sectors where AI accountability, transparency, and compliance are critical:

• Financial Services

• Healthcare

• Government & Public Sector

• Retail & E-Commerce

• Technology & Cloud Providers