AI and Oversharing: Who Can See Your Business Data?

Yes. Auditors are generally more impressed by evidence than assurances that everyone has been very sensible.

Governance platforms can help document AI systems, policies, risks, controls and responsibilities, as well as collect evidence showing that those controls are operating. This can support frameworks such as ISO 42001 and the NIST AI Risk Management Framework and help organisations prepare for relevant regulatory obligations.

Yes. “Someone in Marketing, probably” can be narrowed down considerably.

Usage monitoring can provide visibility into which supported AI applications are being accessed, by whom and how frequently. This helps identify adoption patterns, unexpected tools and areas where additional guidance or controls may be needed.

Yes. Apparently prompts need cybersecurity now too.

Some AI protection platforms can detect potentially harmful prompt techniques, including prompt injection, and either alert on or block them. This becomes increasingly important as AI services and agents interact with business data and other systems rather than simply generating text.

Yes. Sometimes finding out what’s happening before stopping it is surprisingly useful.

A sensible starting point can be a monitoring or detect-only period. This provides visibility into the AI tools people are already using, which departments rely on them and where sensitive-data risks exist. You can then introduce controls based on real usage rather than guesswork.

Increasingly, yes, and agents make governance considerably more important.

AI agents may be able to access applications, databases, files and other tools and take actions rather than simply answer questions. Governance therefore needs to consider what each agent can access, what it is permitted to do, who owns it and how its activity is monitored.

Yes. Because asking everyone to “please be careful” has its limits.

Data loss prevention controls can inspect supported AI interactions for sensitive or regulated information and either record the event or prevent the information from being submitted. This adds a technical control behind your AI policy rather than relying entirely on employees remembering it.

Yes. Although blocking everything is rarely the most imaginative AI strategy.

AI security controls can restrict access to particular AI applications or services based on your organisation’s policy. You might block some completely, allow approved alternatives or simply monitor usage first so you understand what people are actually using before making a decision.

Yes. Access to the tool and permission to give it your customer database are two different things.

AI protection technology can inspect supported prompts and uploads for sensitive information and either alert on or prevent certain data from being submitted. That can include personal, financial, health or confidential business information, depending on the controls and policies you put in place.