Article summary: AI is changing cybersecurity on both sides. Cybercriminals are using generative AI to create more convincing phishing and impersonation scams, while IT and security teams are using AI to analyze activity and detect potential threats. For small businesses, managing this dual-use technology means combining effective security tools with clear AI policies and employee awareness.
Somewhere in Canada this morning, a fraudster opened a generative AI chatbot and asked it to draft a payment request in the exact tone of a company’s CFO.
In another office, an IT administrator opened the same category of tool to summarize a week of security logs in thirty seconds instead of three hours.
Different goals, same toolbox.
AI is giving attackers new ways to make scams more convincing and operate at a larger scale. At the same time, it’s helping businesses detect threats, analyze activity, and respond more efficiently.
That overlap is reshaping managed cybersecurity for businesses of all sizes.
The technology itself isn’t inherently good or bad. What matters is how it’s used, and whether your business is prepared for both sides of it.
What Makes AI “Dual-Use” in Cybersecurity?
AI can be used for both legitimate and malicious purposes, depending on who is using it.
A generative AI tool can help a business draft an email, but it can also help an attacker create a more convincing phishing message. AI-generated audio can have legitimate business uses, but it can also be used to impersonate someone during a scam.
The Canadian Centre for Cyber Security warns that AI is increasing the quality, scale, and precision of malicious cyber activity. It also reports that threat actors are using AI to improve phishing and create realistic audio and visual impersonations.
For small businesses, that means the same technology improving everyday work can also give attackers more effective ways to target employees and customers.
How Cybercriminals Are Using the Same AI Tools Your Business Might
Faster, More Convincing Social Engineering
Generative AI makes it easier for attackers to create polished phishing messages quickly. It can improve grammar, personalize messages, and produce convincing language at scale.
That can make some of the warning signs employees have traditionally relied on, such as awkward wording or obvious spelling mistakes, less useful.
As we discuss in our look at AI-generated business email compromise, businesses now need to look beyond how professional an email sounds when deciding whether a request is legitimate.
Voice Cloning Changes What “Verification” Means
A phone call from the boss used to feel like stronger proof than an unexpected email. AI-generated audio makes that assumption less reliable.
Voice-cloning technology can imitate a real person’s voice and potentially be used to make an urgent request sound as though it came from an executive, co-worker, vendor, or family member.
For businesses, this changes how sensitive requests should be verified. An unexpected request to transfer money, change banking information, or disclose credentials should be confirmed through a separate, trusted channel rather than relying on the voice on the other end of the call.
How Defenders Are Using the Same Category of Tools
The other side of the AI story is that cybersecurity teams can use these tools to strengthen their own defences.
The Canadian Centre for Cyber Security recently tested frontier AI models to help create and validate new threat detection rules. Tasks that typically took analysts anywhere from several hours to a week were completed in under an hour, with human analysts still responsible for reviewing and approving the results.
Canadian organizations are adopting AI more broadly as well. According to CIRA’s 2025 Cybersecurity Survey, 65% have integrated AI tools into their workflows and operations, up from 44% in 2023.
For IT and security teams, AI can help analyze large amounts of data, automate repetitive work, and identify potential threats faster. The goal isn’t to replace security professionals, but to give them better tools to keep up with a changing threat landscape.
What This Means for a Small Business Without a Security Team
You don’t need an internal AI team to benefit from these technologies. AI-powered features are increasingly built into the email security, endpoint protection, and monitoring tools businesses already use.
The bigger question is whether those tools are configured properly and whether your employees know how to respond when something suspicious happens.
Businesses also need clear rules for how employees use AI at work. Entering sensitive company or customer information into an unapproved AI tool can create its own security and privacy risks. Our look at AI training data compliance explains why businesses need to understand where their information goes when employees use these platforms.
Employee awareness matters too. As AI makes phishing and impersonation attempts more convincing, regular security awareness training can help employees recognize suspicious requests and know when to verify them before acting.
Is Your Business on the Right Side of This Trade-off?
AI didn’t create phishing, social engineering, or impersonation scams. What it has done is give attackers new ways to make those tactics faster, more scalable, and more convincing.
At the same time, AI is giving IT and security teams new ways to analyze activity, detect potential threats, and respond more efficiently.
For small businesses, the goal isn’t to avoid AI. It’s to use the technology responsibly while preparing employees for the new risks it can create.
If you’re not sure whether your cybersecurity strategy is keeping pace, Haxxess can help you review your current protections and identify where improvements may be needed.
Call Haxxess at 705-222-8324 or contact us online to book a consultation.
Article FAQs
What does “dual-use AI” mean in cybersecurity?
Dual-use AI refers to technology that can be used for both legitimate and malicious purposes. The same types of tools that help businesses automate tasks or analyze information can also help attackers improve phishing, impersonation, and other scams.
How are cybercriminals using AI to make scams more convincing?
Cybercriminals can use generative AI to create polished phishing messages and realistic voice impersonations. This can make traditional warning signs, such as poor grammar or an unfamiliar-sounding caller, less reliable.
Can small businesses benefit from AI-powered cybersecurity?
Yes. AI-powered features are increasingly built into email security, endpoint protection, identity, and monitoring tools available to small businesses. These tools can help identify suspicious activity without requiring a business to build its own AI systems.
