Your staff are probably using AI tools right now. ChatGPT for drafting emails. Image generators for social media posts. AI assistants for research. And while these tools save time, they also create new security gaps that scammers are already exploiting.
Fortunately, you don't need to hire a cyber security team or ban AI entirely. Most AI risks can be managed by adapting controls your business likely has in some form already. Focusing on these eight areas through cyber security education and simple policy changes can make a real difference.
1. Know What Data Your AI Tools Can Access
Every AI tool needs data to work. It is essential to know what data your staff are feeding into these systems.
When someone pastes client financials into ChatGPT to "clean up the formatting," that data now exists on OpenAI's servers. When your marketing assistant uploads customer lists to an AI email writer, those details are no longer just yours.
Start by listing which AI tools your team uses. Then identify the types of information going into each one, such as client names, financial figures, or health records. This audit doesn't need to be complicated. A simple spreadsheet tracking tool names, who uses them, and what data types they handle gives you visibility you probably don't have right now.
2. Watch Out for AI-Powered Phishing
Scammers now use the same AI tools your team does. However, they are using them to write convincing phishing emails at scale.
The ASD Annual Cyber Threat Report highlights that business email compromise and fraud are among the top cyber concerns for Australian organisations. AI is now a significant part of the capability boost seen in these attacks.
Old-school phishing emails had obvious tells: bad grammar, weird formatting, generic greetings. AI-generated phishing messages read naturally. They reference real company details. They mimic the writing style of people your staff actually know. Security awareness training needs to account for this shift.
3. Control Who Can Access What
If your receptionist can access the same files as your accountant, you have an access control problem. AI tools make this worse because they can process and extract information from everything they touch.
The fix is straightforward: limit access based on job function. Your accounts payable person needs access to invoices and payment systems. They don't need access to HR records or client contracts. Apply the same thinking to AI tools. It is unlikely that everyone needs access to your AI-powered CRM.
Most cloud systems (Microsoft 365, Google Workspace) have built-in permission settings. Spend an hour reviewing who can access what. You'll likely find permissions that made sense once but don't anymore.
4. Train Your People (Not Just Once)
A single cyber security education session during onboarding won't cut it. People forget. Threats change. New staff join.
Regular, short training works better than annual marathons. A 5-minute refresher each month beats a 2-hour yearly session that everyone zones out of. Building a human firewall means making security awareness part of normal work, not a box-ticking exercise.
Simulated phishing tests are particularly effective because they catch people in real situations. Someone who clicks a fake phishing link in a safe test environment learns the lesson without the consequences of a real breach.
5. Check Your Third-Party AI Tools
Consider the free AI transcription services your team might use. You need to consider where recordings are stored, who owns the data, and the consequences of a potential breach.
Third-party risk sounds like a big-company problem, but small businesses often use more external tools than large enterprises. Each one is a potential weak point.
Before adopting any AI tool, ask three questions: Where is data stored? Who can access it? What happens to data if we stop using the service? If the vendor cannot answer clearly, that is a red flag.
6. Monitor for Unusual Activity
You don't need enterprise security software to spot problems. Simple monitoring catches most issues.
Watch for logins from unusual locations, large file downloads, access outside normal hours, and failed login attempts. Most business software (email, accounting systems, cloud storage) logs this information automatically. The challenge is actually looking at it.
Set a calendar reminder to review security logs weekly. Fifteen minutes scanning for anomalies can catch problems before they become disasters.
7. Have a Plan for When Things Go Wrong
Breaches happen to well-prepared organisations. The difference between a minor incident and a catastrophe often comes down to response speed.
Your incident response plan doesn't need to be a 50-page document. It needs to answer who to call first, how to contain the damage, and who notifies affected clients. It should also outline your obligations under the Notifiable Data Breaches scheme.
Write these answers down. Make sure more than one person knows where to find them. Test the plan once a year by walking through a hypothetical scenario.
8. Keep AI Policies Simple and Specific
A 30-page acceptable use policy that nobody reads protects no one. Short, clear rules work better.
Consider policies such as: "Don't paste client financial data into public AI tools." Or: "Check with your manager before signing up for new AI services." Or: "Report suspicious emails immediately, even if you're not sure."
The goal is rules people can actually remember and follow. Organisational intelligence about your specific risks helps here. A legal firm handling sensitive case files needs different rules than a retail business.
Start With Security Awareness Training
These eight areas might seem like a lot, but you don't need to tackle everything at once. Start with your biggest vulnerability, and for most small businesses, that is people.
Your staff face AI-powered scams every day. Phishing emails that look legitimate. Fake invoices that match real vendor details. Urgent requests that seem to come from the boss.
Regular phishing simulations train your team to spot these attacks before they cause damage. The process is simple: realistic test emails go to your staff, those who click get immediate training, and over time everyone gets better at recognising threats.
See how your team would perform by signing up for a free trial and sending yourself a test phishing email. It takes about two minutes to set up, and you will quickly see why security awareness training matters more than ever.
