Design test

The lethal trifecta: a test for any AI tool

Data theft through an LLM tool needs three things together. Take any one away and the attack loses its route.

Last reviewed against NCSC, OWASP GenAI Security Project and Microsoft Security Response Center. Sources

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The idea

Three capabilities

Simon Willison, writing on 16 June 2025, named the combination: a tool that can see your private data, that reads content from untrusted sources, and that can communicate with the outside world [6]. When one tool has all three, an attacker can plant instructions in the content, have the tool gather the private data and send it out [6].

The three

What each looks like at work

Tangled green cable between a round badge and an arrow tip

Private data

Mailboxes, shared drives, customer records, internal wikis or anything a retrieval feature can search.

Sack marked FINE beside stacks of coins and a gavel

Untrusted content

Inbound email, web pages, uploaded files and documents written by suppliers or the public. OWASP's indirect injection examples all start here [2].

Group of people gathered around one seated person with question marks above them

Outward communication

Sending mail, calling APIs, loading images or links. In EchoLeak, data left through Teams and SharePoint URLs [4].

Applying it

Score each tool

Work through this for every assistant, agent and plug-in:

  1. 1

    Mark yes or no for each of the three capabilities.
  2. 2

    Where all three are yes, treat the tool as high risk.
  3. 3

    Remove one capability: cut the data scope, filter or quarantine the content, or block the outward route.
  4. 4

    Record the decision and who accepted it.

Why not filter

The case against detection alone

Willison's advice is to avoid the combination entirely, and the post says nobody yet knows how to prevent these attacks with 100% reliability [6]. The NCSC makes a related point about vendors: be wary of any that claim to stop prompt injection [1].

Design beats detection

The NCSC favours deterministic, non-LLM safeguards that constrain what the system can do, rather than depending only on filtering content [1].

How CyPro can help

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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?

Prompt injection only shows up when someone tries it against your own tools. Penetration testing can probe the AI features you run or build, to see what a hostile instruction could reach.