error
Subscriptions are not available for this site while you are logged into your current account.
close
Skip to main content

       

      AI fraud is quickly emerging as a major threat to Canadian organizations, with nearly three-quarters (72 per cent) losing as much as five per cent of their annual profits to AI-driven scams last year, new research from KPMG Canada shows.

      The findings underscore an increasingly complex fraud landscape as 81 per cent of businesses that experienced fraud in the past year say they faced an AI-enabled attack with seven in 10 being targeted more than once.

      As a result, nine in 10 (94 per cent) business leaders say they are concerned about encountering AI-powered attacks in the year ahead. Yet despite the risks, only 26 per cent have a comprehensive and tested response plan to defend against AI‑enabled attacks such as deepfakes and voice clones.

      “AI‑powered fraud is changing the ground rules. Canadian organizations aren’t just seeing more attempted attacks – they’re more sophisticated, harder to spot and faster to execute, leaving many businesses vulnerable and unprepared to fight back,” says Myriam Duguay, Partner and National Leader of Forensic Investigation, Integrity and Dispute Services at KPMG Canada.

      “Beyond the immediate financial hit, the reputational fallout from a fraud attack can be devastating. A single scam can shatter customer confidence, result in lost business, and leave lasting damage to a company’s brand. Now, with rise in AI-powered attacks that can mimic legitimate business interactions with alarming accuracy, the margin for error becomes razor-thin and having strong fraud defences is even more essential.”

      Top three most common AI fraud schemes

      phishing

      AI-generated phishing emails/chats

      plagiarism

      Deepfake/ manipulated documents

      phone

      Executive voice-clone calls​

      The most common attacks they encountered were AI-generated phishing emails/chats (60 per cent), deepfake documents (39 per cent) and voice‑clone executive impersonation calls (24 per cent). 

      Key poll highlights: 

      • 72 per cent say they lost between one and five per cent of their business profits to AI-powered fraud attacks in the past 12 months
      • 81 per cent of 251 Canadian business leaders surveyed by KPMG who experienced fraud in the past 12 months say the attack was AI-enabled
      • 72 per cent of organizations which experienced AI-enabled fraud attacks last year say they were targeted more than once
      • 94 per cent say they are concerned about the risk of AI-powered attacks targeting their organization in the next 12 months
      • 26 per cent say they have a formal, comprehensive and tested fraud incident response plan that explicitly covers AI-enabled attacks

      Battle of the bots: Fighting AI fraud with AI tools

      As AI‑enabled fraud becomes more frequent and difficult to detect, Canadian businesses are increasingly deploying AI as a defensive tool, with over half (52 per cent) saying they are directly “fighting AI with AI” by leveraging the technology to identify anomalies, authenticate users, and detect manipulated content.

      Where do you plan to allocate your fraud prevention budget?

      Animated circle statistical graphic showing 74% Graphique statistique en cercle animé montrant 74% 74%

      74% Detection technology

      Animated circle statistical graphic showing 72% Graphique statistique en cercle animé montrant 72% 72%

      72% Employee training
      and awareness

      Animated circle statistical graphic showing 60% Graphique statistique en cercle animé montrant 60% 60%

      60% Transaction controls
      (e.g., dual authentication)

      Recognizing the need to bolster their defences, six in 10 respondents plan to increase their fraud prevention and detection budgets by up to seven per cent this year. Further, 81 per cent of companies conduct employee fraud awareness training every six-to-12 months. Key investment areas include detection technology, employee training and transaction controls, the survey finds.

      “Businesses recognize that they are facing a new reality in the fight against fraud, and they’re deploying advanced tools to keep pace with fast‑moving threats,” says Marilyn Abate, a partner in KPMG Canada’s Risk Services practice who specializes in fraud and forensic investigations in the financial services industry. “While that’s a good step forward, technology alone isn’t enough. It’s not just about buying technology; it’s about equipping people to use it well, closing skills gaps, and running programs that evolve just as quickly as the threats.

      “The good news is that organizations are no longer standing still – they’re starting to invest, adapt, and treat AI‑enabled fraud as a strategic business risk. While momentum is building, many organizations still have significant work ahead to fully modernize and strengthen their defences against rapidly evolving AI‑enabled fraud,” she adds.

      In addition to specialized staff training, Ms. Duguay and Ms. Abate recommend the following to improve anti-fraud programs in the age of AI:

      • Think of fraud prevention not just as a technology issue, but as a strategic capability that incorporates governance, talent, and accountability
      • Avoid incrementally enhancing existing pre-AI operating models and relying on point-in-time checks
      • Instead, utilize continuous, risk-based controls to prevent, detect, and disrupt fraud earlier in the lifecycle

      Fraud prevention

      Combat threats by integrating forensic, financial crime and cyber security.
      Cyber security statue with digital glitches over eyes banner

      About the KPMG Canada Business Fraud survey

      KPMG Canada surveyed business owners or executive level C-suite decision makers at 251 Canadian companies about the instances of fraud they experienced. The survey took place between February 4-13, 2026, using the Angus Reid Group’s premier business research panel. Fifty-five of the companies surveyed have annual gross revenue between $300 million to $1 billion; 23 per cent have over $1 billion; and 22 per cent have between $50 million to $299.9 million. No respondents under $50 million in annual revenue were included in the survey. Over half (62 per cent) are privately held and 38 per cent are publicly traded. Fifty per cent are based in Ontario, 19 per cent in Alberta, 13 per cent in British Columbia, and 10 per cent in Quebec. The remaining respondents are from other regions across Canada.