Is it safe to use ai tools with client data?

Summary

This guide helps you troubleshoot and resolve: Is it safe to use ai tools with client data?. Follow the steps below to fix the issue.

Common Causes

Many employees turn to consumer-grade AI tools to draft emails, summarise meetings, or analyse spreadsheets quickly. While these tools can boost productivity, they often come with hidden risks. Sensitive information pasted into a public AI platform may be used to train public models or stored on servers outside Australia. For businesses handling client records, proprietary code, or financial data, this creates serious exposure under the Privacy Act 1988 and can breach client confidentiality agreements. 220 Internet Services helps Brisbane organisations identify shadow AI usage and deploy secure, enterprise-grade AI environments with commercial data protection, ensuring corporate information stays within your control.

Understanding Shadow AI Risks

Shadow AI occurs when staff use unsanctioned artificial intelligence tools without IT oversight. Unlike enterprise AI solutions, consumer platforms typically lack contractual guarantees that your data will not be used to improve public models. When an employee pastes a customer list, contract, or financial report into a public chatbot, that information may leave your organisation's boundary and be processed in jurisdictions with different privacy standards.

Common Data Leak Scenarios

• Pasting client contact details or personal information into a public AI tool to draft a response
• Uploading proprietary source code or technical documentation for debugging
• Sharing spreadsheets containing financial records or payroll information
• Entering unreleased product details or strategic plans into an unsecured chat interface

Quick Fix Steps

1. Identify which AI tools staff are currently using through browser history, network logs, or an internal survey.
2. Block access to high-risk consumer AI domains at the firewall or DNS level where appropriate.
3. Communicate a clear acceptable use policy prohibiting the entry of client or confidential data into public AI platforms.
4. Provision an enterprise-grade AI alternative with commercial data protection, such as Microsoft Copilot with enterprise data protection enabled.
5. Train employees on safe AI practices and how to use the approved platform.

Detailed Instructions

Assessing Your Current Exposure

1. Review web filtering reports to identify visits to consumer AI domains.
2. Speak with department heads to understand which teams are using AI tools and for what purposes.
3. Check whether employees are logging into AI platforms with work email addresses, which can link business identities to personal data usage.
4. Document the types of data being shared, such as client records, financial data, or intellectual property.

Deploying Enterprise-Grade AI with Microsoft Copilot

Microsoft Copilot with commercial data protection ensures that user and organisational data is not used to train foundation models when signed in with a work account. Follow these steps to enable a secure environment:

1. Confirm your organisation holds an eligible Microsoft 365 licence that includes Copilot with commercial data protection.
2. Sign in to copilot.microsoft.com using your work email address and credentials.
3. Look for the commercial data protection indicator, typically shown as a shield icon or confirmation message, before entering any organisational data.
4. Assign appropriate licences to users who require AI assistance for business tasks.
5. Configure data residency settings where available to keep processing within preferred Australian or regional boundaries.

Establishing an Acceptable Use Policy

1. Draft a policy that explicitly prohibits entering client personal information, financial records, or proprietary code into public AI tools.
2. Define which enterprise AI tools are approved and under what conditions they may be used.
3. Require staff to sign in with organisational credentials only, never personal accounts, when using AI for work purposes.
4. Distribute the policy to all employees and obtain acknowledgment of receipt.
5. Schedule regular refresher training as AI capabilities and risks evolve.

Troubleshooting

Employees Continue Using Consumer AI Tools

• Implement DNS filtering or firewall rules to restrict access to known consumer AI domains.
• Deploy browser extensions or endpoint management policies that warn users when they enter sensitive data into unapproved sites.
• Reinforce the approved alternative and demonstrate how it meets their productivity needs without the risk.

Uncertain Whether Data Protection Is Active

• Verify the user is signed in with a work account, not a personal Microsoft account.
• Check the Copilot interface for the commercial data protection badge before submitting any prompts.
• Review your Microsoft 365 tenant settings to confirm the service is enabled for the user's licence type.

Protecting client data requires more than good intentions; it requires the right technology and clear boundaries. By replacing shadow AI with an enterprise-grade environment, your organisation can improve productivity while meeting its obligations under the Privacy Act 1988. If you need assistance assessing your current AI exposure or configuring secure tools for your team, Open a Ticket.

Still Having Issues?