The Data Massagist The Data Massagist by Pablo Junco

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1 Article published on 2025-January


Zero Trust Security and Governance for AI

Zero Trust Security and Governance for AI

Zero Trust isn’t a product—it’s a strategic framework of never trust, always verify, least-privilege access, and assuming breach. Applied to AI, it ensures secure, ethical, and trustworthy adoption. Microsoft’s Responsible AI principles—accountability, transparency, fairness, and reliability—combined with Zero Trust, enable organizations to protect identities, devices, data, applications, and networks while fostering innovation. Using Microsoft solutions like Azure Confidential Computing, Purview, Federated Learning, Fairlearn, Entra ABAC, Content Moderator, and Defender for Cloud, organizations can secure data pipelines, train and deploy models responsibly, monitor AI workloads, and detect threats in real time. By prioritizing a “Security First, Always” approach, businesses can safely harness AI, maintain trust, and drive ethical, transformative innovation.

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Responsable AI Data Governance

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