CyberHappenings logo
☰
Home Browse About

Track cybersecurity events as they unfold. Sourced timelines. Filter, sort, and browse. Fast, privacy‑respecting. No invasive ads, no tracking.

NCSC Warns of Persistent Prompt Injection Risks in AI Systems

First reported
Last updated
1 unique sources, 1 articles

Summary

Hide ▲

The UK National Cyber Security Centre (NCSC) has issued a warning that prompt injection vulnerabilities in large language models (LLMs) may never be fully mitigated, unlike traditional vulnerabilities such as SQL injection. The NCSC advises focusing on reducing the impact and risk of prompt injection rather than attempting to eliminate it entirely. This warning comes as AI systems are increasingly integrated into applications, posing significant security risks if not properly addressed.

Timeline

  1. 09.12.2025 13:30 1 articles · 23h ago

    NCSC Warns of Persistent Prompt Injection Risks in AI Systems

    The UK National Cyber Security Centre (NCSC) has issued a warning that prompt injection vulnerabilities in large language models (LLMs) may never be fully mitigated, unlike traditional vulnerabilities such as SQL injection. The NCSC advises focusing on reducing the impact and risk of prompt injection rather than attempting to eliminate it entirely. This warning comes as AI systems are increasingly integrated into applications, posing significant security risks if not properly addressed.

    Show sources
    Open in new tab

Information Snippets

  • Prompt injection vulnerabilities in LLMs differ from traditional vulnerabilities like SQL injection because LLMs do not distinguish between data and instructions.

    First reported: 09.12.2025 13:30
    1 source, 1 article
    Show sources

  • The NCSC suggests that mitigations such as detecting prompt injection attempts or training models to prioritize instructions over data are likely to fail.

    First reported: 09.12.2025 13:30
    1 source, 1 article
    Show sources

  • LLMs are considered 'inherently confusable' due to their inability to distinguish between data and instructions, making full mitigation of prompt injection unlikely.

    First reported: 09.12.2025 13:30
    1 source, 1 article
    Show sources

  • The NCSC recommends reducing prompt injection risks through secure LLM design, monitoring, and organizational awareness.

    First reported: 09.12.2025 13:30
    1 source, 1 article
    Show sources

  • Exabeam's chief AI officer, Steve Wilson, agrees that current approaches to tackling prompt injection are insufficient and emphasizes the need for operational discipline and constant vigilance.

    First reported: 09.12.2025 13:30
    1 source, 1 article
    Show sources