Stop deepfake fraud
across the customer
lifecycle

Yes, deepfakes can be detected using AI models trained to identify subtle inconsistencies in facial movements, textures, and biological signals.
Modern systems can detect deepfake fraud in real time, enabling businesses to stop attacks before they impact onboarding, authentication, or transactions.

Yes, deepfake detection software uses computer vision and machine learning to analyze images and videos for signs of manipulation.
Enterprise solutions integrate this detection directly into workflows like onboarding, login verification, and transaction approvals to prevent fraud at scale.

Deepfake misuse is punishable under existing Indian laws, even though there is no single law dedicated to deepfakes.
Fraud, impersonation, identity theft, and misuse of digital content can fall under the IT Act, IPC provisions, and emerging data protection regulations.

No. HyperVerge uses passive detection, so users are not required to perform additional actions.

Yes, via APIs and SDKs.

Yes, advanced deepfake detection systems can identify manipulated or synthetic video feeds during VKYC sessions.
These systems analyze facial movements, texture inconsistencies, and liveness signals in real time to detect impersonation attempts, helping financial institutions prevent fraudulent account creation while maintaining compliance.