Trust3 AI has unveiled its innovative AI trust layer, focused on improving Cortex AI adoption and providing enterprises with robust tools to address challenges in scaling and managing AI systems. Available as a native app on Snowflake, Trust3 AI key components include—Trust3 IQ, Trust3 Visibility, and Trust3 Guard. Together, these features create a groundbreaking platform that simplifies semantic layer building, enhances contextual understanding, and ensures AI systems’ reliable and secure operation at scale. Trust3 IQ unifies structured and unstructured datasets, delivering a unified semantic layer that bolsters accuracy and enhances retrieval-augmented generation (RAG), and Cortex agents. Offering a significant increase in reliability of conversational AI, Trust3 IQ accelerates AI adoption across multiple industries. Through Trust3 Visibility, enterprises gain real-time observability for all AI assets built on Snowflake and other platforms, enabling teams to measure, catalog, and govern systems effectively. This governance layer provides critical oversight for system behavior, ownership, and performance, mitigating risks related to security, legal and operational efficiency. Additionally, Trust3 Guard powers dynamic, context-aware security controls to safeguard structured and unstructured data. Its customizable guardrails, integrated with Snowflake RBAC and guardrails, mitigate risks such as prompt injection, unauthorized access, and sensitive data exposure, ensuring operational trust and compliance. Trust3 AI accelerates AI adoption and builds trust with end users by: Building enterprise context faster with intelligent metadata and semantic models; Delivering real-time observability for proactive risk mitigation; and Enhancing operational efficiency and reducing AI costs with adaptive controls.