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Dr. Tejasvi Addagada | AI Governance · Data Risk · The Methodology Underneath Provable Governance Risk in AI systems does not stay where you put it. A privacy issue in a training dataset surfaces three months later as a legal exposure in a customer support transcript. A bias introduced at the feature engineering layer becomes a regulatory finding at the credit decision boundary. A drift in foundation model behaviour in March produces an unreviewed agentic action in July that

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Data Governance and Risk Management-Ensuring Data Security and Compliance-Tejasvi Addagada