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This article identifies a critical security flaw in enterprise AI automation where attackers exploit authorization gaps in workflows rather than manipulating model behavior or bypassing safety filters. The vulnerability allows data exfiltration through legitimate-looking requests to privileged service accounts, highlighting that robust identity management and access controls are as vital for AI systems as traditional cybersecurity measures.

Source coveringCybersecurity News

What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Hackers Can Turn AI Workflows Into Privileged Data-Stealing Proxies Without Jailbreaking Models

Cybersecurity NewsSeptember 10, 20263 min read

Enterprise AI workflows can be vulnerable to misuse that exposes sensitive information without prompt injection, account compromise, or jailbreaking a large language model. This vulnerability, termed Workflow Identity Hijacking, exploits authorization gaps between external requesters and the privileged identities used by AI automation. Workflows linked to public-facing email inboxes, web forms, GitHub issues, shared documents, […] The post Hackers Can Turn AI Workflows Into Privileged Data-Stealing Proxies Without Jailbreaking Models appeared first on Cyber Security News.

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