The plan

A practical plan for securing AI use

Start with an inventory, cut access, add human checks and logging, then set ownership. These controls hold even when a weakness such as prompt injection cannot be fully fixed.

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

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The order

Why this sequence

The NCSC's advice on prompt injection runs from awareness through secure design and harder attacks to monitoring [1]. The steps below follow that order and add the governance questions it asks of leaders [2]. Each action card lists who should own it.

This quarter

The core controls

Work through these in order:

  1. 1

    Make the inventory first, because every other control depends on it [3].
  2. 2

    Reduce each tool's access to the data and actions it needs [9].
  3. 3

    Add a person or fixed rule in front of high-risk actions [9].
  4. 4

    Turn on logging so you can see what tools did [1].

Cheap first, then deeper

Inventory and ownership cost little and expose the most. Technical controls take more work, so apply them first to tools that read outside content or hold sensitive data [1].

Plan ahead

Beyond this quarter

Prepare for change. The NCSC advises raising security baselines and keeping fundamentals sound, which protect against AI-assisted and other threats alike [3]. It also says to prepare for a wave of patches addressing long-standing technical debt [3].

Accept a residual risk

NCSC advice is that prompt injection stays a residual risk managed through design, build and operation, not a flaw a product removes [11].

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Related reading

Go deeper

What to do

Seven steps, in order

  1. Step 1

    List every AI tool and what it can reach[3]

    Record each chatbot, assistant and agent, including those staff chose themselves. For each, note the data it sees, the content it reads and the actions it can take.

    Who: IT and security leads

  2. Step 2

    Cut each tool's privileges to the minimum[9]

    Keep sensitive functions in ordinary application code rather than giving the model direct access, and lower privileges when a tool reads content you do not control.

    Who: Development and security teams

  3. Step 3

    Put a person in front of high-risk actions[9]

    Require human approval before an AI tool sends, pays, deletes or changes anything that matters, and let fixed rules, not the model, enforce limits.

    Who: Product owners and system owners

  4. Step 4

    Log inputs, outputs and tool use[1]

    Keep records of what goes into and comes out of AI tools and which tools or APIs they call. Failed calls can show someone refining an attack.

    Who: Security operations

  5. Step 5

    Name an owner and brief the board[2]

    Decide who is accountable for AI security, what the worst-case failure looks like and who responds. Take it to board level.

    Who: Directors and security leads

  6. Step 6

    Ask suppliers hard questions[1]

    Treat any supplier claiming to stop prompt injection with caution and ask instead how they reduce its likelihood and impact, and how they secure their own supply chain.

    Who: Procurement and security leads

  7. Step 7

    Understand shadow AI before banning it[3]

    Find out why staff use unapproved AI tools, then offer an approved option that meets the need, so the risk is managed rather than hidden.

    Who: IT leads and department heads

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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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.