Overview

AI security: the controls that matter for UK organisations

AI security is two jobs: protecting the AI tools you run, and using AI safely in defence. UK guidance says some weaknesses cannot be patched, so controls on what AI tools can reach and do come first.

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

At a glance

31%
of UK businesses were using, adopting or considering AI[10]
24%
of businesses using or adopting AI had security practices for AI risks[10]
13
principles in the government's voluntary AI cyber security code[6]
10
risks in OWASP's 2025 list for LLM applications[8]

The latest

AI security controls: what has happened so far

Newest first. Each entry links to its source.

Latest

Breaches survey reports AI adoption and AI security practice[10]

The government's survey found 31% of businesses using, adopting or considering AI and about a quarter of adopters with AI security practices.

NCSC says prompt injection is not SQL injection[1]

The NCSC argued that prompt injection may never be fully mitigated and that the aim should be to reduce its likelihood and impact.

NCSC assessment of AI and cyber threat to 2027[4]

The NCSC assessed how AI is likely to change the threat to the UK, including a larger attack surface as AI use spreads.

If your staff use chatbots, assistants or AI agents, or you are buying products that now include them, this site sets out what the NCSC, the UK government and OWASP advise. It stays with what their publications say.

The explainer

Two jobs, one subject

Blue server connected to a laptop, a monitor, a folder and a green shield

Securing AI systems

The tools you build or buy can be manipulated, can leak data and can be handed too much access. The NCSC names prompt injection and data poisoning among the main weaknesses of LLMs [2]. Start with what AI security is.

Tall blue server rack with glowing status lights

Using AI in defence

The NCSC encourages organisations to use AI to strengthen their defences, and notes that suppliers already use it to find and fix vulnerabilities [3]. Outputs still need checking: see AI in cyber defence.

Cloud with a combination lock dial at its centre

Governing the lot

Someone must own it. The NCSC asks who is accountable for AI security, what the worst failure would look like and how well the supply chain is understood [2]. The controls guide turns that into a working set.

What changed

Why it matters now

Adoption is under way. The 2025/2026 government survey found 31% of businesses using, adopting or considering AI [10]. Among businesses using or adopting it, 24% had cyber security practices to manage AI-related risks [10].

The NCSC's assessment to 2027 expects attackers to gain efficiency from AI in parts of their work, and says wider AI use across the UK's technology base enlarges the attack surface [4]. In December 2025 it added that prompt injection may never be completely mitigated, so effort belongs in lowering its likelihood and its impact [1].

The practical consequence

Some uses cannot absorb the residual exposure. For those, the NCSC says an LLM may not belong in the design at all [1].

Factory buildings linked through a hub to a phone showing a fingerprint and shield

Where to start

First things to do

Begin with the reach of each AI tool, meaning the data it sees and the actions it takes, not with the attacker's wording. The checker below takes three questions, and the practical plan sets out the rest. The risks page gives the evidence behind each control, and the questions page has short answers.

Am I affected?

Answer a few questions

Check if you are affected

Answer three questions about the AI tools in your organisation. Nothing you answer leaves this page.

Do you have a current list of the AI tools in use, including any staff adopted themselves?

Based on [3][2]. Nothing you enter leaves this page.

Quick answers

Questions people ask

What is AI security?

It means protecting the AI systems you build or use, and using AI safely to support defence[3]. The government's code of practice treats AI security as a subset of cyber security[6].

What are the main AI security risks?

The NCSC points to prompt injection, data poisoning, hallucinations and bias[2]. OWASP's 2025 list ranks prompt injection first and sensitive information disclosure second[8].

Can prompt injection be fixed?

Probably not completely. The NCSC says today's models keep no firm line between instructions and data, so the goal is lowering likelihood and impact[1]. Some use cases may not tolerate what is left[1].

Is there UK guidance on securing AI systems?

Yes. The government published a voluntary AI cyber security code of practice with 13 principles on 31 January 2025[5]. The NCSC has published guidelines for secure AI system development[7].

Every question, answered

Figure surrounded by a clock, checklist, calendar and speech bubble

Coming up

2027

End of the period covered by the NCSC's assessment of AI and cyber threat[4]

About this site

Primary sources, dated

The CyPro Consulting Ltd team maintains this site. Every version, date and figure comes from 5 named sources, including NCSC, Department for Science, Innovation and Technology, OWASP GenAI Security Project, and links to the one it came from. Last checked 4 November 2026.

Who we are and how pages are kept current

How CyPro can help

Need a hand planning for this?

Understanding the change is one job. Working out what it means for your systems, your suppliers and your roadmap is several more. CyPro's consultants can take any of them on.

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Fractional CISO for the board

A senior security lead who advises the board on what to fix first, what to accept and what to tell customers, and owns the decision record.

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Hardening and segmentation

Our consultants put the controls in place that limit the damage when something is missed: firewall rules, network isolation and tighter admin access.

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Penetration testing

A focused test of your systems and the controls around them, so you know they hold before an attacker finds out for you.

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Scanner checking internet-facing systems for weaknesses

Vulnerability scanning

Find every internet-facing system you run, including the forgotten ones, and see which are still on a vulnerable build.

See the scanning service
Security analysts monitoring systems around the clock

24/7 security monitoring

Our SOC analysts watch your systems day and night for the signs of an attack in progress: unexpected processes, new outbound connections, logins that do not fit.

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Incident responders containing an attack

Incident response

If you may already be compromised, our responders contain it, preserve the evidence, find out what was touched and get you running again safely.

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Plan ahead

Want a plan for your organisation?

AI security starts with knowing which tools are in use, who owns them and what they can reach. CyPro can help set the governance, accountability and controls around that.