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As AI takes over in 2026, one uncomfortable fact every business has to confront is whether the technology that is going to make us faster is making us easier to attack? Yes, the evidence points to it, but the threat is quite different to the science fiction version. The IBM 2026 Cost of a Data Breach Report shows that attacks fuelled by artificial intelligence (AI) increased by 56% over 12 months, with 22% of UK organisations reporting AI hacking attempts.
At the same time, adoption is racing ahead of protection. The government’s Cyber Security Breaches Survey 2025/2026 revealed that just 24% of UK firms that are currently implementing AI or are planning to do so have security practices in place to address the risks it poses. That is why, in any engagement with AI in the UK, securing that gap is now a fundamental requirement of any serious AI consulting UK engagement, as an insecure AI tool is a liability not an asset.
In this guide we’ll discuss what AI security is, what risks to focus on, and which risks are exaggerated and what steps UK businesses can take today.
AI security is the process of ensuring the security of the AI systems that your business relies on, and the data passing through them, from misuse, manipulation and attacks. It has two sides:
Most organisations will have to respond to both simultaneously and hence AI security isn’t part of traditional Cyber Security but rather complementing it.
The warnings are no longer coming only from security vendors. Governments and researchers are saying the same thing:
|
Risk |
What it looks like |
Why it matters |
|
AI-powered phishing and deepfakes |
Flawless phishing emails, cloned voices and fake video calls from “executives” |
Phishing already affects 38% of UK businesses and is the most common attack |
|
Shadow AI and data leakage |
Staff pasting client data, code or contracts into public AI tools |
Potential UK GDPR breaches and loss of confidential IP |
|
Prompt injection |
Hidden instructions in emails, files or web pages that manipulate an AI tool |
Ranked first in the OWASP Top 10 for LLM Applications |
|
Over-permissioned AI agents |
Agents with broad access to inboxes, files and finance systems |
One compromised agent can expose far more data than one user |
|
Insecure AI integrations |
Unvetted APIs, plug-ins and third-party models linked to core systems |
Creates weak links in the AI supply chain |
The concept of Deepfakes becomes a reality. British engineering firm Arup lost around £20 million after an employee joined a video call with deepfake recreations of the company’s CFO and colleagues, then made 15 separate transfers.
AI agents raise the stakes further. As companies transition from basic chatbots to fully-fledged agentic AI UK rollout, they are enabling software to take action rather than just respond. It goes without saying that the security access needs to match that of a senior employee, and likely be even more closely monitored, for an AI agent that reads inboxes and approves invoices.
There is cause for concern, but there is no need for panic. The majority of AI related incidents are the same weaknesses and vulnerabilities that have been responsible for incidents in the past: weak access controls, missing policies and protected data. Out of all the breached organisations, 53% did not use encryption for sensitive data at rest and in transit, according to IBM’s research.
|
Where the worry is overstated |
Where attention is needed |
|
AI will launch fully autonomous attacks on every business |
AI is making everyday phishing and fraud cheaper and more convincing |
|
Banning AI tools will keep the business safe |
Bans push staff towards shadow AI; approved tools with controls work better |
|
Only large enterprises are targets |
43% of all UK businesses reported a breach or attack in the last 12 months |
|
Existing security tools will handle AI risk automatically |
AI systems need their own access rules, testing and monitoring |
The shadow AI point is particularly apt: 69% of cyber security professionals have seen, or suspect, their staff members using public generative AI in the workplace. The Five Eyes agencies also highlight that AI also has a positive impact on defenders as a capability to help identify vulnerabilities earlier and respond to incidents quicker in time.
We integrate security into AI from the ground up, not sorting it out after the fact, at RSK Business Solutions. Our global team offers enterprise AI risk and security services, including AI risk assessments, application security for enterprises on generative AI, governance of AI in the workforce and AI threat monitoring to safeguard operations continuously.
As we too build and design AI solutions, we know where they are going to be exposed, and we can secure them without slowing adoption plans down.
AI-powered phishing and deepfake fraud, data leakage through shadow AI and through prompt injection attacks on AI tools are the top three threats identified for most UK businesses today. They attack people, data and the AI itself, and a defence must be based on the mix of policy, training, and technical controls.
The major trends that have been observed include a drastic increase in AI-related attacks, deepfake impersonation, shadow AI incidents, and the security of autonomous agents. Governments are also increasing their attack on fundamentals, with the Five Eyes agencies calling for more rapid patching, increased identity control and counter-AI measures.
It can be, if you’re in control of what you put in. The main risk is staff entering personal or confidential data into tools the business has not approved. That’s significantly mitigated by an approved list of tools, accounts with data protections and guidelines on what constitutes sensitive information.
Yes. When an AI system is used to process personal data, the GDPR applies and your organisation is responsible even if you are using a third-party tool to process the data. The ICO’s guidance on AI and data protection includes considerations for the lawful basis, security and when a data protection impact assessment (DPIA) is required.
Thus, is AI security a concern for businesses in 2026? Concerned enough to take action? Yes. Despite the possibility of visibility, sensible policy, and tight access controls and regular testing, the majority of threats are very real and continuing to grow. The ones who will find it difficult will be the ones who let AI get ahead of their protective measures.
If you’re considering partnering with an AI development company UK teams can trust, look for one that incorporates security into its design process rather than an add-on. For further details on the AI risk specific to you, please reach out to our team for a consultation.