KPMG Canada, March 2026: 72% of Canadian businesses lost up to 5% of profits to AI-powered fraud attacks in the past year. 81% experienced at least one attempted or successful AI-assisted fraud incident.

The Industrialization of Fraud

Fraud used to require skill. A convincing scam email took time to craft, voice impersonation required a talented actor, and fake documents were expensive to produce. AI has eliminated those barriers.

Today's fraud operations run like businesses โ€” complete with AI toolchains, customer support queues, and refund-of-service guarantees for fraudsters who don't get results. The cost to launch a deepfake invoice attack or a synthetic identity scheme has dropped to near zero.

KPMG Canada's March 2026 fraud survey documents the scale. Of Canadian businesses surveyed:

These aren't isolated enterprise incidents. The same KPMG survey found small and mid-size businesses are disproportionately targeted because they lack dedicated fraud teams and rely on manual review processes that AI fraud is specifically designed to defeat.

Five AI Fraud Patterns Hitting Canadian Merchants

1. Synthetic Identity Fraud

Fraudsters use AI to generate entirely fabricated identities โ€” complete with plausible names, addresses, SINs, and supporting documents. These synthetic identities pass standard KYC checks because they're internally consistent, even though no real person exists behind them.

The damage compounds over time. A synthetic identity might build a legitimate purchase history for months before executing a large fraudulent order and disappearing. By the time the merchant or processor flags it, the goods are gone.

2. AI-Enhanced Card Fraud

Card-not-present fraud has always been a problem for Canadian e-commerce, but AI has accelerated it sharply. BMO's November 2025 holiday shopping report flagged 2.6% of Canadian online transactions as potentially fraudulent โ€” a 51% year-over-year increase. The spike tracks directly with the availability of AI tools that automate carding attacks, credential stuffing, and card testing at scale.

AI-powered card fraud tools can test thousands of card numbers against merchant checkout flows in minutes, identify working cards, and route purchases through legitimate-looking patterns to avoid velocity triggers. Standard rate limits and IP blocks are no longer sufficient on their own.

3. Invoice and Business Email Compromise (BEC) Fraud

AI has made BEC fraud terrifyingly accurate. Where earlier attacks were obvious from grammar errors or incorrect logos, AI-generated BEC emails now match your supplier's exact writing style, replicate their invoice templates pixel-for-pixel, and arrive from spoofed domains that pass casual inspection.

The typical Canadian attack vector: an AI-generated email from a "known supplier" requests a change to banking details before a large payment. The accounts payable contact, trusting the familiar format, updates the wire instructions. The payment goes to a fraudster's account.

See our BEC and invoice fraud guide for detailed response protocols and real Canadian case examples.

4. AI Voice Clone CEO Fraud

Voice cloning technology can now replicate a known voice from as little as three seconds of audio โ€” a YouTube interview clip, a podcast appearance, a voicemail. Fraudsters clone the voice of a company's CEO or CFO and call the controller or accounts payable manager with an urgent wire transfer request.

The social engineering script is standard: the "executive" is travelling, needs a confidential wire sent today, will explain everything later. The urgency and familiar voice together override normal caution. KPMG Canada found 24% of surveyed businesses were targeted with this method in 2025โ€“2026.

5. Automated Chargeback Fraud

AI-assisted chargeback abuse has emerged as a distinct category separate from traditional friendly fraud. Fraud rings now use automation to systematically purchase goods, generate plausible dispute narratives, and file chargebacks across dozens of merchant accounts simultaneously. The scale makes it impossible to fight manually โ€” each dispute looks legitimate in isolation.

Where Canadian Merchants Are Most Exposed

Card-Not-Present vs. In-Person Risk

In-person card fraud remains relatively contained in Canada because chip-and-PIN provides strong authentication. The exposure is almost entirely online. Card-not-present transactions carry five to ten times the fraud rate of in-person chip transactions, and that gap is widening as AI fraud tools specifically target CNP environments.

If you run a hybrid business โ€” physical store plus online โ€” your online channel is where fraud investment should be concentrated.

Subscription Businesses

Subscription merchants face compounding risk. A fraudster who signs up with a stolen card gets recurring charges until the real cardholder notices. Multiple chargebacks from the same fraud event arrive weeks apart, making patterns harder to detect. Subscription businesses also accumulate stored payment credentials, making them attractive targets for account takeover attacks.

Marketplace Platforms

If your business connects buyers and sellers โ€” a booking platform, a local marketplace, a service directory โ€” you inherit fraud risk from both sides. Synthetic seller identities, fake reviews, and buyer-side payment fraud all apply. AI has made it dramatically cheaper to populate a marketplace with convincing fake participants.

Practical Defences by Payment Layer

Checkout and Card-Not-Present

EFT, Wire, and B2B Payments

For a full breakdown of EFT and wire security considerations, see our EFT, PAD, and wire guide for Canadian businesses.

Account and Dashboard Security

Free Tools Worth Using

When to Escalate

Not every fraud incident warrants law enforcement involvement โ€” but some do, and reporting matters for crime statistics and potential recovery.