AI Agent Security: What Happens When You Give AI Too Much Access?

Imagine hiring a new employee and giving them access to your business email, customer database, financial records, and website before they have even completed their first day.

You probably would not do that.

You would give them the accounts they need, explain their responsibilities, and gradually provide additional access as required.

But businesses are beginning to do something very different with AI.

They connect an AI assistant to Gmail, Google Drive, their CRM, calendars, and other systems, often without checking exactly what information it can access or what actions it can perform.

The attraction is understandable. AI can now do more than answer questions. It can research information, prepare reports, update records, organise files, and help manage workflows.

The problem is that giving AI access to your systems also gives it opportunities to make mistakes inside those systems.

And when an AI agent can take action rather than simply provide advice, the consequences become much more serious.

A Google Gemini Incident Shows Why AI Permissions Matter

In a recent AI Business Flywheel episode, Duncan and Joe discussed reports of a Google Gemini model interacting with real companies during a cybersecurity evaluation.

The model was supposed to operate inside a controlled testing environment involving a fictional company.

However, internet access had unintentionally remained available, and the fictional company shared a name with a real organisation. The model reportedly interacted with real-world systems that it appeared to believe were part of the exercise.

Google said the model stopped after recognising that it had reached real companies.

The important lesson is not that AI deliberately decided to attack businesses.

It is that the testing environment allowed the model to reach systems outside its intended scope.

That raises a question every small business should ask before connecting AI to another application:

What can this AI actually access, and what could happen if it uses that access incorrectly?

AI Agents Are Different From Ordinary Chatbots

When you use a traditional AI chatbot, you normally ask a question and receive an answer.

An AI agent can go further.

Depending on its configuration, it may be able to search your files, retrieve customer information, create calendar events, update CRM records, or perform actions in connected applications.

For example, you might ask an AI agent to prepare a weekly sales report.

To complete that task, it could need access to your CRM and sales records.

That sounds reasonable.

But what if you connect it using an administrator account with permission to edit customer records, delete contacts, and change settings?

The AI may have significantly more access than the task requires.

The issue is not necessarily what you asked it to do.

The issue is what it has permission to do.

Start With Read-Only Access

One of the simplest ways to reduce risk is to give AI read-only access wherever possible.

Read-only access allows a system to retrieve information without modifying the original records.

Consider a business using Xero for accounting.

An AI assistant could be useful for reviewing outstanding invoices, summarising expenses, or preparing a financial overview.

It may not need permission to create invoices, change bank details, or approve payments.

Those actions should remain under human control unless there is a properly designed and authorised workflow.

The same principle applies to Google Drive, CRMs, and project management systems.

If the task is to summarise information, start with permission to read the relevant information.

Do not provide editing or deletion rights simply because the connection screen offers them.

Remember that read-only access still allows information to be retrieved and processed. Sensitive customer or financial data needs appropriate privacy and security controls even when the AI cannot change it.

Keep Sensitive Information Separate

Another useful approach is to create a dedicated workspace containing only the information an AI assistant needs.

For example, you might have business procedures, approved templates, product information, and internal training documents stored across Google Drive.

Instead of connecting AI to your entire Drive, create a separate folder containing the approved documents relevant to its task.

This gives you greater control over the information available to the AI.

You could use that workspace for:

• Approved standard operating procedures
• Product and service information
• Internal templates and training materials
• Non-confidential reference documents
• Information prepared specifically for AI-assisted tasks

Keep unrelated customer records, employee information, private contracts, and financial documents outside that workspace.

This approach does not replace technical security controls, but it can help reduce unnecessary exposure.

If your business relies on Google Workspace, SixFive’s Google Workspace services can help you organise shared drives, accounts, and permissions more effectively.

Give AI Its Own Identity Where Possible

When employees join a business, they should have their own accounts.

That makes it possible to see who accessed information, who changed something, and when an action occurred.

AI agents should follow a similar principle.

Where the software supports it, use a dedicated service identity, restricted integration, or appropriately scoped API credentials rather than connecting everything through the business owner’s administrator account.

For example, if an AI agent needs to work with a WordPress website, it may be possible to create a dedicated user with only the permissions required for its tasks.

If it needs access to a Google service, use the supported authorisation method and review the permissions being requested.

The goal is accountability.

If something goes wrong, you should be able to identify which integration performed the action and remove its access without disrupting unrelated accounts.

Avoid sharing administrator passwords or storing credentials inside AI prompts.

Use the AGENT Framework Before Connecting Anything

During the podcast, Duncan and Joe introduced the AGENT framework, a practical way to think about AI access and security.

It covers five areas every business should consider.

A: Access

What information and systems can the AI reach?

Check which accounts, folders, databases, and applications are connected.

Limit access to what the task genuinely requires.

G: Guardrails

What is the AI allowed and not allowed to do?

Set clear boundaries around sensitive information, external communication, financial actions, and system changes.

Use technical permissions to enforce those boundaries rather than relying only on written instructions.

E: Execution

What actions can the AI perform?

There is a difference between drafting an email and sending it, or preparing a financial report and changing accounting records.

Decide which actions can happen automatically and which require additional controls.

N: Needed Approval

When must a person approve the result?

Sending customer messages, publishing content, modifying important records, and making financial changes are examples of activities where human approval may be appropriate.

The level of oversight should reflect the potential consequences.

T: Traceability

Can you identify what happened if something goes wrong?

Use activity logs, individual accounts, and records of important actions so your team can investigate mistakes and remove access when necessary.

The AGENT framework is useful because it turns a complicated cybersecurity discussion into questions a small business owner can actually answer.

Human Approval Is Still Important

AI can prepare work quickly, but speed creates another problem.

People can become less careful when reviewing large amounts of AI-generated output.

Imagine asking an AI assistant to prepare twenty social media posts. It produces them in minutes, and you approve everything without reading each post properly.

If one contains an incorrect claim, that mistake is now public.

The same problem becomes more serious when AI can update customer records, send emails, or interact with financial systems.

Human approval should be a meaningful checkpoint, not simply a button someone clicks without reviewing the work.

For higher-risk activities, make sure the person approving the action can see what will happen, what information is involved, and whether the result is correct.

Your Employees Need AI Access Rules Too

AI security is not only about the technology.

It is also about how your team uses it.

In a small business, different employees may use different AI tools. One person prefers ChatGPT, another uses Gemini, and someone else has connected Claude to their documents.

Without clear rules, business information can end up spread across several accounts and services.

Your team should understand which AI tools are approved, what information they can share, which integrations they can enable, and when they need permission before connecting a new system.

These rules do not need to be complicated.

They need to be understood and followed.

If you are unsure how prepared your business is, SixFive’s Small Business Cyber Profile can help identify areas that may need attention.

A Quick AI Access Audit for Your Business

Before connecting another AI agent, review the tools your business already uses.

Start by identifying every AI application connected to your email, files, CRM, website, accounting software, or other important systems.

For each connection, check whether it still serves a useful purpose and whether the permissions are appropriate.

Pay particular attention to connections that can modify or delete information, send messages, or access sensitive records.

Then check whether multi-factor authentication is enabled, whether employees are using individual accounts, and whether access can be removed quickly.

Finally, confirm that important actions have a review process and that the business can identify what an AI integration has done.

You do not need to complete a major technology project to begin improving security.

Even removing one unnecessary connection or reducing an integration’s permissions can make a difference.

The Bottom Line

AI agents can help small businesses save time, organise information, and automate repetitive work.

But connecting AI to your business systems should be treated with the same care as giving a new employee access to important information.

Start with limited permissions. Use read-only access when appropriate. Keep sensitive information separate. Give integrations their own identities where supported, and maintain human approval for actions that carry meaningful risk.

Most importantly, know what your AI can reach before allowing it to act.

What to Do Next

Take ten minutes this week to review the AI tools connected to your business.

Check what each one can access, whether it needs those permissions, and what would happen if it performed an action incorrectly.

If you are introducing AI but are not sure whether your systems, documentation, and security controls are ready, start with SixFive’s AI Readiness Audit.

For a wider review of your business technology, access controls, and workflows, explore the SixFive Digital Roadmap.

AI should help you run your business, not create another security problem you have to fix.