AI Is Changing Financial Fraud Faster Than Businesses Can Defend Against It

    Hear from Jonathan Benton, Founder of iSanctuary and former senior law enforcement leader about how AI is changing financial fraud and how to respond.

    Guest Post

    12 October 2026 · 4 min read

    Person using a black laptop computer in a dark room.

    AI is making financial fraud faster, cheaper and more scalable, creating a growing challenge for banks, fintechs, payment providers and businesses handling financial transactions.

    Phishing, impersonation, deepfakes and AI-enabled social engineering are becoming increasingly convincing, making it harder for organisations to distinguish legitimate customers, employees and transactions from fraudulent ones. 

    Deepfaked selfie attempts increased 58% in one year, demonstrating rapid adoption of AI tooling.

    Why AI Fraud Is Becoming a Trust Problem for Financial Services

    As AI fraud is becoming more and more sophisticated, its likeness to genuine human activity is causing a massive trust problem for businesses; The once-clear binary between genuine and fraudulent is becoming increasingly difficult to decipher.

    The fundamental signals of human interaction are commonly:

    • Faces

    • Voices

    • Personality

    AI fraudsters are weaponising these trust signals to deepen their scams; examples include:

    • Deepfake video comments from trusted members of the community, e.g. politicians.

    • Family/friend voice cloning - scams are advancing on the typical relative scams asking for money, making them more believable.

    • Professional deepfakes of CEOs or managers in businesses - AI fraudsters can use your face, voice, and even personality to scam your employees.

      • Virtual real-time meetings with employees, led by an AI clone of business owners

    These scams are getting more and more common; an employee of a UK engineering company was tricked into sending $25 million to criminals when they attended a virtual meeting with multiple deepfake colleagues, including the CFO, in 2024.

    The case demonstrates why AI-enabled fraud can no longer be treated purely as an IT or cybersecurity issue. It is increasingly a financial-control, governance and operational-risk issue too.

    Why Financial Crime Controls Need to Evolve

    Existing governance is outdated and can leave organisations exposed, along with potential legal penalties that can be incurred. Read on for more information:

    New Legal Penalties

    As of September 2025, the new "failure to prevent fraud" offence will make large organisations legally responsible for preventing fraud committed by their employees and other associated persons. This means businesses can be prosecuted if they don't have proper fraud prevention procedures in place.

    For regulated and financial-services organisations in particular, the challenge is not simply detecting new scams, but ensuring governance and fraud-prevention controls evolve at the same pace.

    AI Is Increasing Both the Scale and Value of Fraud

    As stated earlier in this article, the sheer sophistication of the new age of AI fraud has increased the potential impact on businesses. From both the volume of scams and the scale of each, just one scam can wipe out a whole business.

    How Financial Services Organisations Should Respond

    For financial services organisations in particular, the challenge is not simply understanding where fraud risk sits today, but ensuring governance and prevention controls evolve as quickly as the threat itself.

    Organisations should have proportionate fraud prevention procedures in place, supported by clear accountability and regular review. The Crown Prosecution Service provides guidance on corporate prosecutions and the expectations around preventing fraud. Key elements of an effective fraud prevention strategy include:

    Strong Governance and Oversight

    Gather a team of experts covering multiple fields, such as:

    • Finance

    • IT

    • Legal

    To provide oversight for compliance and regulatory updates to keep the business safe. A cohesive group of experts can review technological updates that could increase the potential risk of fraud in each area of your business.

    Duty Relegation

    With all of the technological advances and new AI-enabled fraud techniques, it can feel impossible to keep up with it all. This is why delegating duties in your business can lighten the load and enable your whole team to be more proactive.

    This technique also protects the wider business from individual targeting; if more than one person has responsibility for steps of authorisation for important approvals, for example, the likelihood of one victim causing a large-scale impact is minimised.

    Training

    A well-trained team is a safe team. Conduct routine training on new types of scam threats every few months.

    Promote this training from the top down, ensure management is up to date and is encouraging their teams to stay secure and vigilant.

    Upgrade your Protection

    There are several steps to ensuring protection in your business; start with:

    • Enabling 2FA or higher across all accounts

    • Hold high standards for passwords - no duplications or simple passwords

    • Brief all employees on simple anti-fraud checks:

      • Call a trusted number if you are unsure about a certain communication

      • Check email addresses for typos

    AI is not creating financial fraud from scratch, but it is dramatically increasing its speed, scale and credibility. 

    For financial-services organisations, the response cannot sit solely with cybersecurity teams. Fraud prevention now needs to be treated as a wider issue of governance, verification and financial control — with processes designed for a world where seeing or hearing someone is no longer proof that they are real.

    About the Author

    Jonathan Benton is Founder and Chief Executive of iSanctuary. A former senior UK law enforcement leader with more than 30 years’ experience, he built and led the UK’s national response to international corruption outside the Serious Fraud Office and has worked on major international corruption and asset recovery investigations.

    AI FraudCybersecurityFinancial CrimeDeepfakesFraud Prevention
    Guest Post

    Contributor at The London News

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