Document Integrity

Document integrity refers to the assurance that records, data, and files remain unaltered, authentic, and reliable throughout their lifecycle in systems and processes. In enterprise AI governance, maintaining document integrity is critical for audit trails, compliance verification, and legal defensibility, as organizations must prove that training data, model documentation, and decision logs have not been tampered with or corrupted. This becomes especially important when AI systems influence high-stakes decisions in regulated industries like healthcare, finance, and law, where stakeholders need confidence that the underlying documentation accurately reflects what actually occurred.

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ResearchGlobal2026-07-29

Unpatched AI Worm in Microsoft Copilot for Word Can Self-Replicate Through Enterprise Documents After 144-Day Disclosure Window

Security researcher Hakon Maloy has demonstrated a self-propagating prompt injection attack against Microsoft Copilot for Word that enables attacker-controlled instructions hidden in externally sourced documents to alter the content of newly drafted documents and copy the malicious payload forward into subsequent files. The vulnerability remained exploitable against the latest available model after a 144-day coordinated disclosure with Microsoft's Security Response Center. Because no vendor patch is available, enterprise document-handling policies and untrusted-source controls are currently the only available mitigations.

Microsoft Copilot prompt injection AI worm AI supply chain risk agentic AI document integrity Microsoft