semantic drift

  • Zero Trust Reality Check: Questions to Assess Data and AI Defensibility

    Zero Trust Reality Check: Questions to Assess Data and AI Defensibility

    Daniel Linstedt

    This article helps executives evaluate the credibility of Zero Trust claims in data and AI environments. It highlights how confidence often exceeds the available proof, exposing gaps in enforcement and accountability. The diagnostic questions focus on contemporaneous evidence, ownership clarity, and semantic consistency. These issues reflect predictable outcomes of scaling complex controls without explicit governance.…

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  • Modernization That Appears Successful Until Scrutiny

    Modernization That Appears Successful Until Scrutiny

    Daniel Linstedt

    Modernization efforts often appear successful based on delivery metrics but conceal growing liabilities due to lack of auditable evidence and clear accountability. Scaling and AI amplify these risks by increasing the impact of semantic drift and data integrity issues. Defensibility under audit requires explicit proof obligations and ownership, which are frequently deferred, creating governance gaps.…

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