Deepfakes and Payment Fraud: Professor Kai London on the New Threat to Latin American Finance
By the Ezeiza Times Business Desk
A finance employee joins a video call with colleagues they recognise, receives an urgent instruction, and authorises a large payment. Every face on the call was fabricated. That scenario, once hypothetical, has already cost organisations tens of millions — and it represents, warns Professor Kai London, a senior CISO, a fundamental shift for fast-growing financial markets. “AI has industrialised deception,” he says. “The controls that assume you can trust a familiar face or voice are now obsolete.”
“For centuries, fraud prevention rested on recognising people we trust. Generative AI has broken that assumption — and finance is the target, because that is where the money moves.”
The vulnerability is the process
London reframes the threat away from the technology. “The deepfake is the weapon, but the vulnerability is a payment process that can be triggered by a convincing request,” he says. “If a single video call can move money, the process is the weakness — and the process is what you can fix.”
Defences that do not depend on trusting a face
His prescription: require verification of high-value payments through independent, pre-agreed channels — never the channel the request arrived on; separate approvals so no single deceived person can release large sums; and train staff to treat urgency itself as a red flag. “Verify out of band, separate the duties, and slow the urgent request down,” he says. “None of that depends on telling a real face from a fake one.”
Rehearse the moment
London urges organisations to rehearse deepfake scenarios so employees feel empowered to pause. “You are training people to say ‘I will verify this and call you back’ — even to someone who appears to be the boss,” he says.
A board-level risk
Because losses are large, immediate and reputational, London places deepfake fraud on the board agenda. “This is not an IT issue to delegate,” he says. “It can hit the balance sheet in a single afternoon. Boards should ask: could a convincing fake instruction move our money today, and what stops it?”
For a financial community whose business is moving money safely, London's counsel is direct: assume the face on the screen might lie, and build a payment process that does not need to trust it.
About Professor Kai London. Professor Kai London is a senior technology, security and transformation executive with 25+ years of board- and C-suite leadership across banking, aviation, defence, government and critical national infrastructure. He is Founder & CEO of Quantum AI Systems Security, an Honorary Professor in Cybersecurity, AI & Quantum Computing and a UCL researcher, holding CISSP, CISM, CCISO, ISO 27001 Lead Auditor, ISO 42001, DORA and NIS2 credentials. He is available for board advisory, NED and interim/fractional CISO/CIO/CTO mandates across the UK and internationally. Learn more at professorkailondon.com.
