This article from the Alan Turing Institute, Centre for Emerging Technology and Security highlights the critical security threat of indirect prompt injection in generative AI (GenAI) systems, particularly those using Retrieval-Augmented Generation (RAG), which integrate organisational data such as emails, documents, and databases.
Indirect prompt injection occurs when malicious actors insert hidden instructions into data sources accessed by GenAI, potentially leading to disinformation, unauthorised data exposure, phishing attacks, or the execution of harmful code, all without the user’s awareness.
While the use of GenAI to enhance organisational productivity offers significant benefits, it also increases the attack surface for these kinds of vulnerabilities.
The key takeaway is that organisations must implement robust data quality controls, restrict data access, and provide clear user education and continuous monitoring to mitigate these risks. The article urges readers to pay attention to these security challenges, as failing to do so could expose organisations to severe threats, including manipulation of internal systems and data breaches.
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