Trust3 AI has introduced Trust AI for Databricks, a transformative trust layer solution designed to bolster enterprise AI systems. Launched on June 9, 2025, this platform integrates seamlessly with Databricks, enabling organizations to deploy generative AI and autonomous agents with enhanced transparency, accountability, and security.
Trust3 AI launches Trust AI for Databricks on June 9, 2025.
Enhances AI transparency, security, and governance for enterprises.
Reduces risks like hallucinations and errors in AI operations.
Features Trust3 IQ, Visibility, and Guard for comprehensive AI management.
Integrates with Databricks’ Unity Catalog for unified data handling.
Supports compliance with NIST AI RMF and EU AI Act frameworks.
Trust3 IQ creates a unified semantic layer, integrating structured and unstructured data from Databricks and external APIs. This reduces risks such as AI hallucinations and errors, improving the performance of autonomous agents and copilots. "Designed for Data Intelligence Platforms like Databricks, Trust3 AI introduces a programmable trust layer that unifies observability, runtime validation, and cross-platform accuracy," said Jason Pohl, Senior Director of Data Management at Databricks. The seamless integration with Unity Catalog ensures efficient data management, enabling strategic decision-making.
Trust3 Visibility provides robust governance tools, including an AI Asset Catalog that unifies agents, pipelines, and large language model endpoints. It offers risk scoring, compliance reporting, and audit-ready dashboards to ensure adherence to enterprise standards. This end-to-end governance framework allows organizations to track and manage AI ecosystems confidently, maintaining transparency and accountability across platforms.
Trust3 Guard enhances security through built-in guardrails, protecting against intellectual property leakage, personal data exposure, and unsafe outputs. It features context-based permissions to enforce governance policies without stifling innovation. The platform supports global AI risk frameworks like NIST AI RMF and EU AI Act, offering customizable validation pipelines and ongoing monitoring to ensure AI system robustness.
Trust AI for Databricks simplifies compliance testing and risk assessments, providing real-time security and operational efficiency. By unifying datasets and establishing consistent governance, it empowers enterprises to scale AI responsibly. The platform’s focus on observability and runtime validation positions it as a critical tool for industries like healthcare and finance, where trustworthy AI is paramount.
Trust3 AI’s solution marks a significant advancement in enterprise AI governance. By addressing modern AI challenges with a focus on trust and accountability, Trust AI for Databricks enables organizations to innovate confidently while maintaining compliance and security.
Based in San Francisco, Trust3 AI (formerly PAIG AI) is a leader in AI governance, security, and lifecycle management solutions. Trust3 AI's unified platform empowers businesses to adopt AI responsibly by building trust into every AI interaction.
Trust3 AI is trusted by organizations across industries, from healthcare to finance, and is proud to be part of the Snowflake and Databricks startup accelerator programs.
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