AI Agents and Cyber Security: What Businesses Need to Know
AI Agents and Cyber Security: What Businesses Need to Know
AI agents are quickly becoming one of the biggest talking points in business technology, which makes AI agent security a priority for every organisation.
They promise to help organisations automate tasks, connect systems, reduce admin and give employees more time to focus on valuable work.
That potential is real.
But AI agents also change the cyber security conversation, and AI agent security needs to be considered from day one.
Unlike a standard chatbot, an AI agent may be able to take action. It might search company documents, update a record, send a message, trigger a workflow or move information between business systems.
That makes the security questions much more important.
Because once an AI tool can access your data and act on your behalf, it can no longer be treated as a simple productivity tool.
It needs governance.
It needs clear boundaries.
It needs proper cyber security controls.
The message for businesses is not that AI agents should be avoided.
The message is that they should be introduced carefully, with the right safeguards in place from the start.
What Is an AI Agent?
An AI agent is a system designed to carry out tasks using artificial intelligence. If you are new to the terminology, our guide to AI without the jargon explains models, prompts, agents and workflows in plain English.
A standard AI assistant usually waits for a person to ask a question, then produces a response.
An AI agent can go further.
It can interpret a goal, decide which steps to take, retrieve information from connected sources and use software tools or APIs to complete work. That might include updating a record, sending a message or triggering a transaction.
For example, an AI agent could help:
- Search internal documents
- Answer staff questions
- Draft customer responses
- Create support tickets
- Summarise customer history
- Prepare supplier requests
- Update records
- Trigger approval workflows
- Move information between systems
This is why AI agents are so useful.
They can support work that would otherwise involve several manual steps across different platforms.
But that is also why the risk is different.
If a chatbot gives a poor answer, someone can review it before acting.
If an AI agent takes the wrong action, the impact may already have reached a live business system.
From Assistance to Action
The most important difference is this:
AI assistants respond. AI agents can act.
A conventional AI assistant usually helps with a single task.
It might summarise a document, draft an email or answer a question.
An AI agent can pursue an objective across several steps.
For example, an operations agent might check stock levels, compare an order against agreed rules and prepare a supplier request. A service agent could review a customer’s history, identify the relevant policy and draft a response for approval.
That sounds helpful, and it can be.
But every extra step adds a new security question.
What information did the agent read?
Which system did it connect to?
What action did it take?
Was human approval required?
Could the same action be misused?
Could a mistake affect a customer, supplier or financial process?
These are business questions as much as technical ones.
AI Agent Security: Why Agents Create New Challenges
AI agents become more consequential when they are connected to business systems.
An agent connected to nothing can only produce a response.
An agent connected to Microsoft 365, a CRM system, a finance platform, a ticketing tool or a customer database can do much more.
That means a mistake, misconfiguration or compromise may have a bigger impact.
If an agent misunderstands an instruction, receives misleading information or is compromised, the result may be an action taken in the business rather than an inaccurate answer waiting for someone to review.
That is the key point.
AI agents do not just create content.
They may affect live workflows.
They may touch sensitive information.
They may influence operational decisions.
That makes access, permissions, identity and monitoring essential parts of AI agent security.
AI Agent Security Starts With Access: What Can the Agent See?
The first question every business should ask is simple:
What can this AI agent access?
If an agent can search company files, which files?
If it connects to email, whose mailbox?
If it uses customer records, which customers?
If it accesses SharePoint, Teams or OneDrive, are permissions properly controlled?
An agent’s boundaries must reflect the systems it can reach. Access should be linked to a specific purpose, limited to the information and actions required, and reviewed when the workflow changes.
For example:
- An agent answering HR policy questions should not have access to customer contracts.
- An agent creating support tickets should not have access to finance data.
- An agent preparing payment information should not be able to release payments without approval.
- An agent searching internal documents should not automatically have access to confidential board papers.
The principle is the same as any other cyber security control:
Give the agent only the access it needs.
Nothing more.
What Can the Agent Change?
Reading information is one thing.
Changing information is another.
An AI agent that can read a database does not necessarily need permission to edit it. An agent that can prepare a payment should not be able to release it without an appropriate approval step.
This distinction matters.
Many businesses already struggle with excessive user permissions, which is why access control matters so much. AI agents can make the issue more visible because they may be able to act quickly across systems.
Before deployment, business leaders should ask:
- Can the agent only read information?
- Can it create new records?
- Can it edit existing records?
- Can it delete anything?
- Can it send messages externally?
- Can it trigger financial or operational processes?
- Can it move data between systems?
- Can it change its own settings?
The more impact an action could have, the stronger the control should be.
Some actions may be suitable for automation.
Others should require human approval every time.
Identity Is Central to AI Agent Security
Every AI agent should have a clear identity, credentials and permissions.
Treating it as a shared or anonymous account makes it harder to establish what happened, investigate an incident or remove access safely.
This is important.
If something goes wrong, your business needs to know:
- Which agent was involved
- What it accessed
- What action it took
- Which credentials it used
- Who approved the setup
- Who owns the process
- How access can be removed
A stronger design gives each agent a distinct identity, uses the minimum permissions required and limits credentials wherever possible. Logs should be clear enough to support investigation if something unexpected happens.
This should not be left as an afterthought.
Identity is one of the foundations of AI agent security and secure AI adoption.
Prompt Injection: An AI Agent Security Risk to Understand
Prompt injection is one of the most important AI security risks to understand. It is ranked as the top risk in the OWASP Top 10 for LLM applications.
It happens when content encountered by an AI system contains instructions intended to redirect its behaviour.
That content might be inside:
- An email
- A document
- A web page
- A code comment
- A tool response
- A support ticket
- A shared file
To a person, the content may look like ordinary information.
To an AI agent, it may be interpreted as an instruction.
Connected content and tool responses should be treated as untrusted, even when they come from a familiar business system.
This matters because AI agents often rely on connected sources.
If an agent reads an email, document or web page containing malicious instructions, businesses need controls that stop those instructions from overriding the agent’s intended purpose.
In simple terms:
Do not assume an AI agent will always know which instructions to trust.
That is why testing, boundaries and human oversight are essential to AI agent security.
Why Recent “AI Agent Going Rogue” Stories Matter
AI agents have been in the news recently because of concerns around systems acting unpredictably, following unintended instructions or taking actions beyond what people expected.
The takeaway should not be panic.
It should be preparation.
AI agents are powerful because they can connect to tools and complete work across systems.
That same power means businesses need to think carefully about permissions, approval steps, monitoring and emergency controls.
The goal is not to stop AI adoption.
The goal is to make sure the business stays in control.
Human Approval Still Matters
Automation can save time, but not every action should happen automatically.
High-impact actions should usually require human approval.
That includes anything involving:
- Payments
- Supplier changes
- Customer records
- External emails
- Contractual information
- HR decisions
- Sensitive data
- System settings
- Bulk downloads
- Deleting or moving files
Effective oversight combines technical controls with human judgement. High-impact actions should require approval, unusual activity should generate an alert, and activity should be recorded well enough to support investigation.
AI should support people.
It should not quietly remove accountability from important decisions.
AI Agent Security Testing Should Go Beyond Normal Use
Many businesses test technology by checking whether it works in normal conditions.
With AI agents, that is not enough.
Testing should include:
- Misleading instructions
- Unexpected tool responses
- Attempts to access restricted information
- Incorrect data
- Conflicting requests
- Unusual user behaviour
- Requests outside the intended scope
It is particularly important to test misleading instructions, unexpected tool responses and attempts to access information outside the intended scope.
This is important because real-world use is rarely tidy.
Employees may phrase requests in unusual ways.
Connected systems may return unexpected information.
Attackers may deliberately try to manipulate behaviour.
Testing needs to reflect that.
Every Agent Needs an Emergency Stop
Before an AI agent is put into production, the business should know how to stop it.
That means being able to:
- Disable the agent
- Revoke credentials
- Remove access
- Pause connected workflows
- Review activity
- Investigate what happened
- Restore affected data if needed
An emergency shutdown route should be defined before the agent is put into production.
This does not need to be dramatic.
It simply means the business should not be working out how to stop an agent during an incident.
That plan should exist beforehand.
AI Agent Security in Microsoft 365
For many small and mid-sized businesses, AI agent adoption will connect closely with Microsoft 365.
Tools such as Microsoft Copilot and Copilot Studio can be powerful because they work with the systems many organisations already use every day.
That may include:
- Outlook
- Teams
- SharePoint
- OneDrive
- Word
- Excel
- PowerPoint
- Planner
- Power Automate
- Business applications
This creates a strong business case.
It also means your Microsoft 365 environment needs to be in good shape.
Before connecting AI agents to Microsoft 365, businesses should review:
- User permissions
- SharePoint access
- Teams structures
- External sharing settings
- Admin accounts
- MFA
- Device controls
- Data retention
- Sensitivity labels
- Audit logging
Good AI agent security starts here, because an AI agent does not fix weak permissions.
It may expose them.
Common Mistakes Businesses Should Avoid
AI agents are still new for many organisations, so mistakes are understandable.
The most common include:
Starting with the tool instead of the task
Businesses should begin with a clear use case, not with the newest feature.
Ask what problem the agent is solving and how success will be measured.
Giving too much access
Broad permissions may make the agent easier to build, but they increase risk.
Start with the minimum access required.
Skipping human approval
If an action could affect customers, money, records or sensitive data, human review may still be needed.
Forgetting ownership
Every agent needs an owner responsible for its purpose, permissions, performance and retirement.
Not reviewing over time
A safe setup can become risky if systems, users, permissions or workflows change.
Treating AI as separate from cyber security
AI agents are part of your wider technology environment.
They need to fit into your identity, access, data protection, monitoring and incident response arrangements.
Practical Questions to Ask Before Deploying an AI Agent
Before rolling out an AI agent, business leaders should be able to answer:
- What business problem does this agent solve?
- Who owns the agent?
- Which users can access it?
- What systems does it connect to?
- What data can it read?
- What data can it change?
- Can it send messages or trigger workflows?
- Which actions require human approval?
- How is activity logged?
- How will unusual behaviour be detected?
- How often will permissions be reviewed?
- How can the agent be disabled quickly?
- What happens if it gives the wrong answer or takes the wrong action?
If these answers are unclear, the business is probably not ready to deploy the agent widely.
That does not mean abandoning the idea.
It means tightening the setup first.
How SOD-IT Can Help With AI Agent Security
AI agents can create real value for businesses, but they need to be introduced safely.
At SOD-IT, we help organisations prepare for AI adoption with a practical focus on security, governance and usability.
That may include:
- Microsoft Copilot readiness
- Copilot Studio guidance
- Microsoft 365 security reviews
- Access and permissions checks
- Identity and MFA controls
- Data governance
- AI acceptable-use guidance
- User awareness
- Monitoring and support
- Ongoing managed services
We help businesses understand what AI can do, where it can add value and what controls should be in place before it becomes part of daily operations.
The aim is not to make AI complicated.
It is to make AI safe enough to be useful.
AI Agents Are Powerful. Make Sure Your Business Stays in Control.
AI agents represent an exciting shift in how businesses can use technology.
They can reduce admin, connect systems and help teams work more efficiently.
But once AI can act, businesses need to think carefully about access, permissions, identity, data and accountability.
The organisations that benefit most will be the ones that adopt AI with confidence rather than panic.
That means starting with clear use cases, setting sensible boundaries and making sure AI agent security is built in from the beginning.
If your business is considering Microsoft Copilot Studio, AI agents or wider AI adoption, get in touch with SOD-IT. We can help you assess your current setup and build a secure rollout plan.
📞 0141 488 1533
📧 [email protected]
🌐 www.sod-it.co.uk
