Glossary term
Deepfake
Definition
A deepfake is audio, image, or video content generated or manipulated by artificial intelligence to convincingly imitate a real person's face, voice, or actions. Modern deepfakes are produced by generative models such as diffusion networks, GANs, and neural voice synthesizers, and are frequently indistinguishable from authentic media to the human eye and ear.
Why it matters for financial institutions
Deepfakes turn identity itself into an attack surface. A cloned executive voice can authorize a wire transfer, a swapped face can pass video KYC, and a fabricated video can trigger reputational or market damage. For institutions whose controls assume that seeing or hearing a person verifies them, deepfakes break a foundational assumption of fraud prevention.
How FalsiFind addresses it
FalsiFind runs dedicated detection pipelines for voice, image, and video, each tuned to the artifacts produced by today's leading generative architectures. Media is scored in real time with a confidence score and a signed evidence bundle, so fraud teams can act during the interaction rather than after the loss.