ACCORDING to SecurityWeek, the next cybersecurity crisis may lie in data you can’t trust, not in breaches, with data integrity now framed as both a technical and leadership challenge. The piece argues that in an era of AI-driven decisions, even small changes to training data can drive inaccurate or harmful outputs, making organisations question whether they can trust their data.
It emphasises that data governance gaps—such as unclear ownership, untracked modifications, and inconsistent classification—erode trust and blur the line between trusted and compromised data.
A roadmap is proposed that stresses clear dataset ownership, restricting not just viewing but also modifying data, maintaining audit trails, and treating certain data sources as authoritative to establish a reliable “source of truth.” The author, Steve Durbin, notes that regulators’ expectations and cyber insurers’ demands are rising, and that decisions are only as good as the data behind them. Durbin is chief executive of the Information Security Forum, whose members include the Fortune 500 and Forbes 2000. The article was published on 31 March 2026.