March 8, 2026 Threats 8 min read

AI-Powered Phishing: What's Changed for Canadian Businesses in 2026

By Cybersecurity Canada Editorial Team | Published March 8, 2026

Phishing emails used to be easy to spot. Bad grammar, generic greetings, obvious spelling mistakes — these were reliable warning signs that something wasn't right. That era is ending. Generative AI tools have given attackers the ability to produce polished, personalized, and highly convincing phishing messages at scale, and Canadian small businesses are seeing the effects.

This isn't a prediction. The Canadian Centre for Cyber Security's National Cyber Threat Assessment 2025-2026 identifies AI-enhanced social engineering as a growing threat to Canadian organizations. Understanding what has changed — and what defences still work — is essential for any business that relies on email.

What Has Actually Changed

Phishing Emails Now Read Like Real Emails

Large language models can generate grammatically correct, contextually appropriate text in seconds. Attackers are using these tools to craft phishing emails that match the tone, vocabulary, and formatting of legitimate business communications. The telltale signs that employees were trained to look for — awkward phrasing, misspellings, unnatural language — are increasingly absent.

For Canadian businesses, this is especially relevant. AI tools can easily generate messages in both English and French that read naturally, eliminating the language quality issues that previously made many phishing attempts obvious to bilingual recipients.

Personalization Is Automated

Before AI, a targeted phishing email (spear phishing) required manual research — reading LinkedIn profiles, studying company websites, understanding organizational structures. This limited how many targeted attacks a single threat actor could run.

AI tools have removed that bottleneck. Attackers can now feed publicly available information about a company and its employees into an AI system and generate dozens of personalized phishing emails in minutes. An employee might receive an email that references their actual job title, a recent company announcement, or the name of a real colleague — all generated automatically.

Voice and Video Are No Longer Reliable

AI-generated voice cloning (sometimes called deepfake audio) has reached the point where short voice samples — often available from LinkedIn videos, conference presentations, or voicemail greetings — can be used to create convincing voice messages. There have been documented cases of attackers using cloned executive voices to authorize fraudulent wire transfers.

The Canadian Anti-Fraud Centre has flagged AI-assisted fraud as an emerging concern, noting that these techniques make traditional verification methods less reliable.

The Volume Has Increased

Generative AI dramatically reduces the time and skill required to create phishing campaigns. What once took hours of manual effort now takes minutes. This means more attacks, targeting more organizations, more often. For Canadian SMBs that may not have dedicated security teams monitoring email traffic, this volume increase raises the probability that a convincing message reaches an employee who acts on it.

What Canadian Small Businesses Should Do

The good news is that effective defences exist. They just need to evolve alongside the threat.

Update Your Training — Focus on Behaviour, Not Spelling

Traditional security awareness training taught employees to look for grammatical errors and generic greetings. That advice is outdated. Training should now focus on behavioural red flags that AI cannot eliminate:

• Unexpected requests — Any email asking you to transfer money, change payment details, share credentials, or bypass a normal process deserves scrutiny, regardless of how well-written it is
• Urgency and pressure — Phishing emails create time pressure to prevent the recipient from thinking carefully. A message that says "this must be done within the hour" is a red flag, not a reason to rush
• Unusual channels — A request that arrives by email when it would normally come through your project management tool, a phone call, or in person

For more on recognizing phishing attempts, see our guide on how to recognize phishing emails.

Make Multi-Factor Authentication Non-Negotiable

Multi-factor authentication (MFA) remains one of the most effective defences against phishing — even AI-enhanced phishing. If an employee's credentials are stolen through a phishing email, MFA prevents the attacker from using those credentials to access your systems.

The Canadian Centre for Cyber Security's Baseline Controls identify authentication and MFA (BC.5) as a foundational security measure for this reason. If your business has not yet implemented MFA on email, cloud services, and remote access, this should be a priority.

Implement Verification Procedures for Financial Requests

AI-powered phishing is particularly dangerous for business email compromise (BEC) attacks, where convincing emails are used to redirect payments or authorize fraudulent transfers.

The defence is procedural: any request to change payment details, process an unusual transfer, or share sensitive information must be verified through a separate communication channel — a phone call to a known number, a face-to-face confirmation, or a verified messaging platform. This verification step breaks the attack chain regardless of how convincing the email is.

Use Email Authentication Protocols

Technical controls at the organizational level can reduce the volume of phishing that reaches your employees:

• DMARC, SPF, and DKIM — These email authentication protocols help prevent attackers from spoofing your domain. They also reduce the likelihood that phishing emails impersonating other organizations reach your inbox
• Email filtering and threat detection — Modern email security tools use AI themselves to identify suspicious patterns, even in well-crafted messages
• Link and attachment scanning — Automated scanning of URLs and attachments before delivery catches many phishing attempts

These measures fall under network and perimeter security (BC.9) in the Baseline Controls framework.

Have an Incident Response Plan

Despite best efforts, phishing attempts will occasionally succeed. What matters is how quickly your organization detects and responds to a compromise. An incident response plan — even a simple one — ensures that employees know who to contact, what steps to follow, and how to contain the damage.

The Baseline Controls address this under incident response planning (BC.1).

What About AI Detection Tools?

There are tools that claim to detect AI-generated text. Currently, these tools are unreliable for security purposes — they produce frequent false positives and false negatives, and their accuracy degrades as AI models improve. Relying on AI detection to filter phishing is not a sound strategy.

The more effective approach is to assume that any phishing email could be AI-generated and design your defences accordingly. Focus on verifying the request, not analysing the writing.

The Bigger Picture

AI has not invented a new type of attack. Phishing is still phishing — it still relies on tricking a person into taking an action they shouldn't. What AI has done is remove the quality barriers that made phishing easier to detect and harder to scale.

For Canadian small businesses, this means the fundamentals matter more than ever: employee training that focuses on behaviour rather than grammar, strong authentication on every system, verification procedures for financial transactions, and an incident response plan for when something goes wrong.

If you're not sure where your organization stands, our free cybersecurity assessment evaluates your business across all 13 of the Canadian Centre for Cyber Security's Baseline Control areas — including security awareness, authentication, and incident response — and provides specific recommendations based on your results.

Frequently Asked Questions

Can AI write phishing emails that are impossible to detect?

AI-generated phishing emails can be very convincing, but they are not impossible to detect. While AI eliminates obvious language errors, it cannot eliminate the behavioural red flags that define phishing — unexpected requests, artificial urgency, and unusual communication channels. Training employees to recognize these patterns remains effective regardless of how well the email is written.

Are Canadian businesses being specifically targeted by AI phishing?

The Canadian Centre for Cyber Security has identified AI-enhanced social engineering as a growing concern in its National Cyber Threat Assessment 2025-2026. Canada's bilingual business environment, active international trade relationships, and high adoption of cloud services make Canadian organizations attractive targets for phishing campaigns of all kinds, including AI-assisted ones.

Does multi-factor authentication protect against AI phishing?

Yes. MFA is effective against AI-enhanced phishing because it addresses what happens after credentials are stolen, not how they were stolen. Even if an employee enters their password on a phishing site, MFA prevents the attacker from accessing the account without the second authentication factor. The Canadian Centre for Cyber Security recommends MFA as a baseline security control for all organizations.

What should I do if an employee falls for a phishing email?

Act quickly. Isolate the affected account by resetting the password and revoking active sessions. Determine what access the compromised account had and whether any data was exposed. If personal information may have been affected, Canadian organizations have breach reporting obligations under PIPEDA. Report the incident to the Canadian Anti-Fraud Centre and the Canadian Centre for Cyber Security.

How often should phishing training be updated?

Security awareness training should be reviewed and updated at least annually, with supplementary communications whenever new phishing techniques emerge. The Canadian Centre for Cyber Security's Baseline Controls recommend ongoing security awareness as part of BC.6 (Security Awareness Training). Quarterly phishing simulations can help measure whether training is translating into employee behaviour.