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Researchers have demonstrated a potential AI‑driven worm that can propagate through Microsoft Word documents via the Copilot feature, embedding malicious instructions that may alter content in subsequent AI‑generated documents. Microsoft acknowledges the issue, has applied several mitigations, and advises customers to keep software updated and review AI‑generated content, while noting that a complete fix would require separating instructions from data at the model level. Separately, Microsoft announced plans to launch a unified Copilot "super app" that will combine chat, coding, coworking, and autonomous features for both consumer and business users, aiming to expand its AI ecosystem despite mixed public reactions.
A proof‑of‑concept AI worm can use Microsoft Word Copilot to embed and spread malicious instructions across documents.
Microsoft has released multiple mitigations and urges users to install updates, use layered security, and review AI‑generated content.
Experts note that the underlying challenge is the difficulty for large language models to distinguish between data and instructions, a problem likened to historic SQL injection issues.
Microsoft plans to launch a single Copilot "super app" integrating chat, coding, coworking, and autonomous capabilities for consumers and enterprises later this year.
The company reports about 30 million paid Copilot users out of roughly 450 million business seats.
Researchers showed that malicious instructions can be hidden in a Word document, which Copilot may execute when generating or editing a new document, allowing the instructions to propagate to subsequent files.
Microsoft has implemented several focused mitigations, recommends installing the latest updates, employing multiple security layers, and reviewing AI‑generated content before use.
Microsoft intends to launch a unified Copilot "super app" that combines chat, coding, coworking, and autonomous Autopilot features for both consumer and business markets later in the year.
Microsoft reports approximately 30 million paid Copilot users among its 450 million business seats.
Experts argue that distinguishing instructions from data at the model or platform level is necessary to prevent similar injection attacks, but it requires industry‑wide architectural changes that are not yet in place.
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