Definition

What are AI cyber attacks?

The term covers attackers using AI to improve their methods, and attacks aimed at AI systems. They are different problems and need different responses.

Last reviewed against NCSC (UK), NCSC New Zealand and UK Government (DSIT and Home Office). Sources

Three meanings

Sorting the term

The phrase is used loosely, so it helps to separate three cases.

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AI-assisted fraud and phishing

Criminals use AI to impersonate people and write convincing messages. The NCSC says actors already use AI for social engineering [1]. The Arup case is the documented example of impersonation by deepfake video [7].

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AI-assisted intrusion

Attackers use AI to find and exploit flaws more quickly. NCSC guidance says threat actors are increasingly doing so [4].

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Attacks on AI systems

Hostile input that steers an LLM, such as prompt injection, which tops OWASP's list for LLM applications [8].

What is established

Evidence and its limits

The NCSC expects AI to almost certainly make parts of intrusion operations more effective [1]. It also judges that skilled human operators will remain in the loop and that fully automated end-to-end attacks are unlikely by 2027 [1]. So the realistic picture is faster and more convincing attacks, not autonomous ones.

Go on to whether AI attacks are new or your exposure.

Scope of this site

We cover what official bodies and documented cases say. We do not cite claims that no source states, and we say where evidence is thin.

How CyPro can help

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