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groundedness checks

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Groundedness checks are a critical component of enterprise AI safety, ensuring that AI agent outputs remain factually consistent with trusted data sources. In the context of Azure AI Foundry, groundedness checks are integrated into a layered, identity-first platform that combines guardrails, continuous evaluation, and enterprise governance. This approach reframes trust as a primary design constraint, helping organizations keep agentic AI safe, auditable, and operable at scale. The tag covers discussions around implementing groundedness checks within Azure's Agent Factory blueprint, focusing on secure enterprise AI deployment.
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    Azure AI Foundry: Identity-First Agent Factory for Secure Enterprise AI

    Azure’s new Agent Factory blueprint reframes trust as the primary design constraint for enterprise agents and presents Azure AI Foundry as a layered, identity‑first platform that combines identity, guardrails, continuous evaluation, and enterprise governance to keep agentic AI safe, auditable...
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    • Forum: Windows News
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