AI for defence

Using AI in cyber defence without over-trusting it

The NCSC encourages using AI to strengthen defences. The condition is that people check what it produces and that the tool itself is secured.

Last reviewed against NCSC, Department for Science, Innovation and Technology and OWASP GenAI Security Project. Sources

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The case for

What the NCSC says

The NCSC recommends using AI to strengthen defences and notes that suppliers already use it to find and fix vulnerabilities [3]. It also advises preparing for a wave of patches that address long-standing technical debt [3]. A team that cannot absorb that volume of fixes will fall behind, so patching capacity matters as much as the tool.

The case for caution

Output needs checking

The NCSC lists hallucinations, meaning confident but incorrect output, among the flaws of AI models [2]. OWASP's 2025 list includes improper output handling and misinformation [8]. For defence, that means an alert summary, a suggested fix or a block rule is a draft until someone confirms it.

Safe use patterns

Key points

  • Keep a person approving any action that changes systems, blocks users or closes an incident [9]
  • Treat output as untrusted before it reaches another tool or script [8]
  • Log what the AI was given and what it returned [1]

Secure the tool

Defence AI is a target too

A defensive AI tool reads logs, tickets and emails, which are content an attacker can influence. The prompt injection risk applies to it as much as to any other tool [1]. Give it the least access it needs [9].

Where defenders can use it

Match the tool to a task you already understand, such as summarising alerts, drafting reports or flagging patterns for an analyst to review. Keep a named person accountable for each conclusion, in line with the NCSC's call for active human oversight [3].

Fundamentals still matter

The NCSC says good cyber security fundamentals protect against both AI-assisted and other threats [3].

How CyPro can help

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