Key takeaways
- Staff are already using AI tools, so the choice is between managed use and hidden use.
- The biggest risks are leaking confidential data, trusting wrong output and connecting AI to systems with too much access.
- A short set of rules, approved tools and basic monitoring covers most of the exposure.
Why this is a security topic
AI assistants, chatbots and agents are useful because they read and produce text, run tasks and connect to company data. Those same abilities create new ways for information to leak or for systems to be misused. Leaders do not need to understand the models. They need to ask the right questions and set simple rules.
The main risks
- Data leakage. Staff paste customer data, source code or contracts into tools that are not approved or that keep what they are given.
- Shadow AI. Tools adopted by individuals or teams with no review, no contract terms and no visibility.
- Over-trusted output. Wrong or invented answers used in decisions, customer messages or code.
- Prompt injection. Hidden instructions in a web page, document or email that trick an AI tool into doing something its owner did not intend.
- Excess access. AI agents and connectors given broad permission to files, email or systems.
- Weak vendor terms. Unclear rules on whether your data is used to train models, where it is stored and how long it is kept.
Questions to ask before adopting a tool
- 1What data will this tool see, and is any of it confidential or regulated?
- 2Does the vendor use our data to train models? Can we turn that off in writing?
- 3Where is data stored, who can access it and how long is it kept?
- 4What independent assurance does the vendor hold?
- 5What can the tool do on its own, and what needs a person to approve?
- 6How will we know who is using it and for what?
Simple rules that work
- Publish a one-page AI use policy with an approved tool list and examples of data that must never be entered.
- Give staff approved tools that are good enough that they do not look elsewhere.
- Require a human to check AI output before it reaches a customer, regulator or production system.
- Give AI agents the minimum access needed, and review it regularly.
- Log AI tool use where you can, and include it in your security awareness training.
Monitoring and response
Treat AI tools like any other business application. Include them in your asset list, watch for unusual data transfers and make it easy for staff to report a mistake. If confidential data does reach an unapproved tool, handle it as an incident. Our security advisory team can help write the policy, review vendors and test your AI systems.
Further reading
Independent sources we recommend for more detail.