Security Cautions for AI Tools at Work

Every new tool widens the surface through which information can leave an organization. AI assistants are no exception, and a few of their traits create specific risks. This overview focuses on practical habits rather than technical detail.

The data you type is data you share

Many online assistants process inputs on external servers. Depending on the service and settings, inputs may be stored, reviewed by staff, or used to improve systems. Before anyone enters material, find out the provider’s data handling terms and whether business accounts offer stronger protections.

Classify what may be shared

Create a simple rule of thumb:

• Safe: public information and generic questions
• Careful: internal drafts with no sensitive details, only in approved tools
• Never: passwords, access keys, customer personal data, unpublished financial results, confidential contracts

When in doubt, remove names and identifying details first, or ask the security contact.

Beware of look-alike services

Attackers set up fake assistant websites and browser extensions that harvest what users type. Install only extensions approved by IT, use official sources, and be suspicious of tools that ask for broad permissions to read all web pages.

Prompt injection and untrusted content

When an assistant reads web pages, emails, or documents, hidden instructions in that content can try to manipulate it. For example, a document might include text telling the tool to reveal other information or take an action. Treat tools connected to inboxes, files, or other systems with extra caution, and limit what actions they may perform without human approval.

Accounts and access

• Use unique passwords and multifactor authentication.
• Apply the principle of least privilege: give tools access only to what they need.
• Remove access when staff leave or projects end.
• Review connected apps and integrations regularly.

Generated code and configurations

Code or scripts produced by assistants can contain bugs and insecure patterns. Review and test them as you would work from an unknown contributor, and never paste secrets into them.

Social engineering gets better

Convincing messages, cloned voices, and fabricated documents are easier to produce. Reinforce verification routines: confirm payment changes or urgent requests through a second channel, and do not rely on voice or writing style alone.

Logging and oversight

Keep records of which tools are in use, who has access, and what data categories are permitted. Designate someone to review vendor changes in terms or features.

Incident readiness

Make sure staff know how to report a mistake quickly, such as pasting confidential text into the wrong tool. Prompt reporting allows limited damage control, and a blame-free culture encourages disclosure.

Keep it proportionate

The aim is not to ban useful tools but to use them with eyes open. A short list of rules, regular reminders, and approved options usually does more good than a long document nobody reads.

Questions for a quick vendor review

• Where is data processed and stored?
• Can we disable the use of our inputs for improving the service?
• What certifications or audits can the provider show?
• How are accounts removed and data deleted?
• Does the tool log activity we can inspect?

Keep the answers in a shared record. A one-page summary per tool makes renewal decisions and incident response much easier.