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Data Lake: Healthcare PII Leakage Via Prompt Injection
Executive Summary This article examines the risks associated with healthcare PII leakage in data lakes, particularly through prompt injection attacks. It highlights the mechanisms of such attacks, the operational constraints of existing filtering solutions, and the strategic implications for organizations ...
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Data Lake Compliance: Managing Pipeline Shifts Under EU AI Scrutiny
Executive Summary This article explores the critical aspects of managing data pipelines within the framework of EU AI regulations, focusing on semantic versioning and bias detection. As organizations like the U.S. Department of Veterans Affairs (VA) navigate the complexities of ...
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Data Lake Change Management: Governance And Operational Stability
Executive Summary Data Lake Change Management is a critical framework for organizations like the U.S. Department of Justice (DOJ) to ensure that schema and policy changes are managed with the same rigor as software releases. This structured approach is essential ...
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Zombie Data Liability In Data Lakes: Risks And Mitigation Strategies
Executive Summary The persistence of deleted records, commonly referred to as “zombie data,” poses significant risks to organizations leveraging data lakes for AI model training. This article explores the implications of zombie data on AI outcomes, particularly in the context ...
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Data Lake: EU AI Act Readiness Documenting Design Choices
Executive Summary The implementation of the EU AI Act necessitates a robust framework for documenting data selection processes within data lakes. This article outlines the architectural considerations and operational constraints involved in creating an auditable trail for data inclusion and ...
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CFO Liability: The Cost Of A Late Audit Response
Executive Summary This article examines the implications of audit response time as a compliance multiplier, particularly within the context of the UK National Health Service (NHS). Delays in providing audit responses can significantly increase financial liabilities, escalate legal costs, and ...
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Datalake: Global AI Hallucination Insurance – Why Your Board Needs A ‘Metadata Truth’ Policy
Executive Summary In the context of increasing reliance on artificial intelligence (AI) for decision-making, organizations face significant risks associated with data integrity and accuracy. A ‘metadata truth’ policy serves as a governance framework that ensures the accuracy, integrity, and traceability ...
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Datalake: EU AI Act Readiness Annex IV Technical Documentation
Executive Summary This document provides a comprehensive analysis of the mechanisms and strategies necessary for automating compliance documentation within data lakes, specifically in the context of the EU AI Act’s Annex IV requirements. It outlines the operational constraints, strategic trade-offs, ...
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Board Liability For AI Incidents: Essential Evidence Artifacts
Executive Summary As organizations increasingly integrate artificial intelligence (AI) into their operations, the board of directors faces heightened liability concerning AI incidents. This article outlines the essential evidence artifacts that must be produced following an AI incident to ensure compliance ...
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Datalake: The ‘Exfiltration Through Inference’ Trap
Executive Summary The increasing reliance on data lakes for storing vast amounts of information has raised significant concerns regarding data security, particularly the risk of exfiltration through inference. This article explores the mechanisms by which AI can infer sensitive data ...
