Your AI tools

Securing the AI tools you already use

Staff adopt AI tools faster than security practices follow. Start with what each tool can read, what it can do, and who can see its logs.

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

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The gap

Adoption ahead of controls

In the 2025/2026 survey, 31% of businesses and 25% of charities were using AI, adopting it or considering it. Of those, 24% of businesses and 27% of charities had security practices for AI-related risks [5]. So most organisations using AI have not yet put dedicated controls in place.

The checklist

Questions to ask of every tool

  1. 1

    What data can it read, and is any of it untrusted, such as inbound email or web pages? [2]
  2. 2

    What tools, APIs or accounts can it use, and with whose privileges? [2]
  3. 3

    Could a deterministic control outside the LLM limit those actions? [2]
  4. 4

    Are inputs, outputs, tool use and API calls logged? [2]
  5. 5

    How does the vendor handle your source code and sensitive data? [4]
  6. 6

    Is use restricted to a test environment or sandbox where it can be? [4]

Risk names

The OWASP list in brief

OWASP's 2025 list includes prompt injection, sensitive information disclosure, supply chain, data and model poisoning, improper output handling, excessive agency, system prompt leakage, vector and embedding weaknesses, misinformation and unbounded consumption [8]. Excessive agency is the one to check first, because it is about what an LLM is allowed to do.

Stop and decide

If a tool must read untrusted content, it should not hold privileged access. Remove one or the other [2].

Magnifying glass over a virus marked 24/7

Governance

Who owns it

Give each AI tool an owner and put it on your asset inventory, in the same way you would any other system that touches company data. The NCSC's first step for exposure is knowing what you have [4], and AI tools adopted by individual teams are easy to miss.

Write down, for each tool, what it is allowed to read, what it is allowed to do and who reviews its logs. A short record like this makes it possible to answer a board or auditor quickly when they ask how AI use is controlled. See prompt injection for the design measures.

How CyPro can help

Need a hand with any of this?

Patching is one job. Keeping a vulnerable system safe until it is patched, and proving it, is several more. CyPro's consultants, testers and SOC analysts can take any of them off your plate.

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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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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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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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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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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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Know your exposure

Not sure you are protected?

AI makes it quicker to find and use weak points, so it helps to find them first. A penetration test shows which of your internet-facing systems, staff processes and AI tools an attacker could actually use.