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AI Security Flaw

Ars Technica AI · Jun 26, 2026 · 1 min read · Read original article →

Curated by the Inblix editorial team


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Microsoft recently patched a critical vulnerability in its M365 Copilot AI platform that could allow attackers to retrieve sensitive data, including 2FA codes, from emails. The issue stems from the AI’s inability to distinguish between user instructions and malicious requests hidden in third-party content. This flaw is not unique to Microsoft, and other large language model providers are also struggling to secure this boundary, leading to the implementation of complicated guardrails to mitigate the consequences. Why it matters: this vulnerability highlights the significant security risks associated with AI models that can be exploited by attackers, making it a crucial concern in the broader AI landscape.

💡 Key Takeaways

  1. Microsoft's M365 Copilot AI platform has a critical vulnerability that allows attackers to retrieve sensitive data from emails
  2. The root cause of the vulnerability is the AI's inability to distinguish between user instructions and malicious requests
  3. Attackers can use workarounds such as markup language and HTML tags to exfiltrate data despite guardrails implemented by Microsoft and other LLM providers

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