AI agents have been in the news for all the wrong reasons.<\/p>\n
Recent reports have described AI systems escaping test environments, accessing real-world systems and behaving in ways that researchers did not expect during cyber security evaluations. Anthropic has also published details of incidents where Claude models accessed external systems during testing, while wider reporting has focused on the risks of increasingly autonomous AI agents being connected to live tools and data.<\/p>\n
Understandably, that sounds alarming.<\/p>\n
But for business owners, the takeaway should not be:<\/p>\n
\u201cAI is dangerous. Avoid it.\u201d<\/strong><\/p>\n That would be the wrong lesson.<\/p>\n The more useful lesson is this:<\/p>\n AI is becoming powerful enough that it needs to be governed properly.<\/strong><\/p>\n AI agents can save businesses time, reduce admin and help teams work more efficiently. Tools such as Microsoft Copilot Studio are already making it easier for organisations to build AI assistants that can answer questions, search information, trigger workflows and connect with approved business systems.<\/p>\n That creates huge potential.<\/p>\n It also changes what cyber security needs to cover.<\/p>\n Because once an AI tool can take action, connect to systems or handle business data, it can no longer be treated like a simple chatbot.<\/p>\n It needs controls.<\/p>\n It needs boundaries.<\/p>\n It needs ownership.<\/p>\n And it needs to be introduced as part of a wider cyber security strategy.<\/p>\n An AI agent is an AI-powered tool designed to carry out a specific task or process.<\/p>\n A standard chatbot usually waits for someone to ask a question.<\/p>\n An AI agent can go further.<\/p>\n Depending on how it is built, it may be able to:<\/p>\n That is why agents are so exciting.<\/p>\n They can help businesses remove repetitive admin and make better use of the systems they already have.<\/p>\n But that is also why they need to be taken seriously.<\/p>\n A poor chatbot response is usually just an inconvenience.<\/p>\n A poorly controlled AI agent could access the wrong data, trigger the wrong process or expose information that should have remained private.<\/p>\n The recent headlines are not a reason for businesses to panic.<\/p>\n They are, however, a warning that AI agents need to be handled properly.<\/p>\n The most important point is this:<\/p>\n The risk is rarely just the AI model itself. The risk is what the agent is connected to.<\/strong><\/p>\n An AI agent connected to nothing can only answer questions.<\/p>\n An AI agent connected to email, documents, customer records, finance systems, ticketing platforms or cloud storage can do much more.<\/p>\n That is where the security conversation becomes important.<\/p>\n If an agent has too much access, unclear instructions or weak oversight, a small mistake can travel further than expected.<\/p>\n For small and medium-sized businesses, this matters because AI adoption is often happening quickly. A member of staff might create a useful AI workflow to solve a real problem, connect it to a live system, and start using it before anyone has reviewed the security impact.<\/p>\n That is not because employees are trying to create risk.<\/p>\n It is because they are trying to work faster.<\/p>\n The challenge for business owners is making sure speed does not come at the expense of control.<\/p>\n At SOD-IT, we are not anti-AI.<\/p>\n Quite the opposite.<\/p>\n We believe AI will become a normal part of how businesses work, just like email, cloud storage, Microsoft Teams and remote access.<\/p>\n The businesses that benefit most will not be the ones that ignore AI.<\/p>\n They will be the ones that adopt it properly.<\/p>\n That means using approved tools.<\/p>\n Setting clear rules.<\/p>\n Protecting sensitive data.<\/p>\n Managing permissions.<\/p>\n Training staff.<\/p>\n Reviewing what has been connected.<\/p>\n AI should help your business move faster.<\/p>\n It should not create a new blind spot.<\/p>\n AI agents introduce a few practical security questions that every business should understand.<\/p>\n This is the first and most important question.<\/p>\n If an agent is connected to Microsoft 365, SharePoint, Teams, email or a CRM system, you need to know what data it can see.<\/p>\n An agent built to answer internal policy questions should not have access to customer contracts unless there is a clear business reason.<\/p>\n An agent designed to create IT tickets should not also have access to finance folders.<\/p>\n The principle should be simple:<\/p>\n Give the agent only the access it needs to do its job.<\/strong><\/p>\n Nothing more.<\/p>\n Every AI agent should have a clear owner.<\/p>\n That person or team should be responsible for:<\/p>\n Without ownership, AI agents can become another form of shadow IT.<\/p>\n They exist inside the business, but nobody is fully accountable for them.<\/p>\n That becomes a problem when staff change roles, permissions change, or the original purpose of the agent is forgotten.<\/p>\n There is a big difference between an AI tool that answers a question and one that takes action.<\/p>\n For example:<\/p>\n The more impact an action could have, the stronger the approval process should be.<\/p>\n Some actions may need human review before anything happens.<\/p>\n Others may only be suitable for a small group of approved users.<\/p>\n AI agents become useful when they can access information.<\/p>\n But that also means data governance matters.<\/p>\n Businesses should understand:<\/p>\n If your data is already disorganised, an AI agent can expose that weakness quickly.<\/p>\n Before rolling out AI agents, it is worth reviewing file permissions, data storage, Microsoft 365 settings and access controls.<\/p>\n AI agents should not be set up and forgotten about.<\/p>\n Businesses need visibility over what agents are doing.<\/p>\n That means reviewing:<\/p>\n AI governance is not a one-off exercise.<\/p>\n It needs to be reviewed as your business, systems and people change.<\/p>\n One of the biggest risks is not always the AI agent your business officially approves.<\/p>\n It is the one you do not know exists.<\/p>\n Employees are already using AI tools because they help them work faster.<\/p>\n They may be using ChatGPT, Claude, Gemini, Copilot or other tools to summarise information, draft emails, analyse documents or build workflows.<\/p>\n That creates a problem if the business has no visibility over:<\/p>\n Trying to ban AI completely is unlikely to work.<\/p>\n A better approach is to give employees clear, approved ways to use AI safely.<\/p>\n That is where businesses need a practical AI strategy.<\/p>\n Before rolling out Microsoft Copilot Studio or any other AI agent platform, businesses should slow down just enough to ask the right questions.<\/p>\n Do not start with the technology.<\/p>\n Start with the task.<\/p>\n What do you want the agent to improve?<\/p>\n Is it answering internal questions?<\/p>\n Reducing admin?<\/p>\n Helping with support requests?<\/p>\n Improving reporting?<\/p>\n The clearer the use case, the easier it is to control.<\/p>\n Decide what the agent is allowed to access and what is off limits.<\/p>\n This should include:<\/p>\n If the agent does not need access, do not give it access.<\/p>\n Start small.<\/p>\n Use a limited user group.<\/p>\n Use a controlled data set.<\/p>\n Check how the agent behaves before it becomes part of a live business process.<\/p>\n This reduces risk and gives you time to improve the setup before it is used more widely.<\/p>\n If an AI agent can take action, consider whether a human should approve that action first.<\/p>\n This is especially important for anything involving:<\/p>\n Automation is valuable, but not every action should happen without oversight.<\/p>\n An agent that is safe today may not stay safe forever.<\/p>\n A user may change role.<\/p>\n A folder may gain sensitive data.<\/p>\n A connector may be updated.<\/p>\n A workflow may be expanded.<\/p>\n Regular reviews help ensure your AI setup remains appropriate as the business changes.<\/p>\n AI agents may be new, but the foundations of good cyber security still matter.<\/p>\n Before introducing agent-based tools, businesses should make sure the basics are in place:<\/p>\n If these foundations are weak, AI can make the gaps more visible.<\/p>\n A secure AI strategy starts with a secure IT environment<\/a>.<\/p>\n AI is moving quickly.<\/p>\n That can feel overwhelming, especially for small and medium-sized businesses trying to understand what is useful, what is risky and what needs to happen first.<\/p>\n This is where SOD-IT can help. Get in touch with our team<\/a> to talk through your AI plans.<\/p>\n We work with businesses to make AI adoption practical, secure and manageable.<\/p>\n That can include:<\/p>\n Our focus is not on hype.<\/p>\n It is on helping businesses use modern technology safely.<\/p>\n AI can absolutely improve productivity, but only if it is introduced with the right controls in place.<\/p>\n The recent headlines are attention-grabbing.<\/p>\n But the real lesson for businesses is practical.<\/p>\n AI agents are becoming powerful enough to touch real systems, real data and real business processes.<\/p>\n That makes governance essential.<\/p>\n Not optional.<\/p>\n Businesses do not need to become AI experts overnight.<\/p>\n But they do need to understand what they are connecting, who has access, what data is involved and how activity is controlled.<\/p>\n AI is not something to fear.<\/p>\n But unmanaged AI is something to take seriously.<\/p>\n If your business is considering Microsoft Copilot Studio, AI agents or wider AI adoption, now is the time to build the right foundations.<\/p>\n SOD-IT can help you move forward confidently, with a secure AI strategy that protects your business while helping your team work more efficiently.<\/p>\n \ud83d\udcde 0141 488 1533<\/strong>
\n<\/div>\nWhat Are AI Agents?<\/h2>\n
\n
\n<\/div>\nWhy the Recent Headlines About AI Agents Matter<\/h2>\n
\n<\/div>\nAI Is Not (Necessarily) the Problem. Uncontrolled AI Is.<\/h2>\n
\n<\/div>\nThe Main Security Risks with AI Agents<\/h2>\n
1. What can the agent access?<\/h3>\n
\n<\/div>\n2. Who owns the agent?<\/h3>\n
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\n<\/div>\n3. Can it take action?<\/h3>\n
\n
\n<\/div>\n4. Is sensitive data protected?<\/h3>\n
\n
\n<\/div>\n5. Is anyone monitoring activity?<\/h3>\n
\n
\n<\/div>\nShadow AI Agents Are Already a Business Risk<\/h2>\n
\n
\n<\/div>\nWhat Should Businesses Do Before Using AI Agents?<\/h2>\n
Start with the business problem<\/h3>\n
\n<\/div>\nSet clear boundaries<\/h3>\n
\n
\n<\/div>\nTest with limited data<\/h3>\n
\n<\/div>\nRequire approval for high-impact actions<\/h3>\n
\n
\n<\/div>\nReview regularly<\/h3>\n
\n<\/div>\nThe Cyber Security Basics Still Matter<\/h2>\n
\n
\n<\/div>\nSOD-IT Is Helping Businesses Prepare for Secure AI Adoption<\/h2>\n
\n
\n<\/div>\nThe Real Lesson from AI Agents \u201cGoing Rogue\u201d<\/h2>\n
\n\ud83d\udce7 support@sod-it.co.uk<\/strong><\/a>
\n\ud83c\udf10 www.sod-it.co.uk<\/strong><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"