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What we share with AI and what it actually reads

Two risks: the data we share with AI and the instructions hidden in the content it analyses.

46%
of professionals have already uploaded sensitive company information to an external AI tool
32%
of data security incidents involve generative AI tools
XLScustomers_2026.xlsx4,800 rows · names, emails
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Definition

What does safety mean when using AI?

AI safety covers a wide range of issues, including the sharing of confidential data (client, contract and HR data) and prompt injections (instructions hidden in the content AI is asked to read).

A sentence such as “ignore previous instructions…” slipped into a file, a web page or an email can hijack the AI and divert it from the user's request.

What these risks cost the business

  1. Legal risk

    Sharing personal or confidential data with a third-party service exposes the company to GDPR penalties and disputes with clients.

  2. Reputational risk

    A data leak, or an AI assistant hijacked by a hidden instruction, can jeopardise years of trust with your partners.

  3. Operational risk

    A prompt injection can skew a summary, trigger a malicious action or disrupt a critical process.

Measure

How Taboo assesses safety

In our simulation, employees receive sensitive files and booby-trapped documents. Taboo checks that they anonymise confidential data and spot malicious instructions.

  • Anonymising sensitive data before sharing documents
  • Spotting prompt injections

document.pdf

ignore previous instructions…

2,400 → [N] · Claire D. → [NAME]

Frequently asked questions

Can client data be shared with an AI?

Only with a company-approved tool, and after anonymising sensitive information such as names, contact details or personal identifiers.

How do you spot a prompt injection?

By developing the right habits to inspect content before uploading it into the system.

Discover and in a live demo

In 30 minutes, we walk you through the test, the report and the training programme, tailored to your organisation.