Category | Specification | |
Deployment Model | Runs within your data centre,private cloud or controlled network | |
Data Locality | Customer biometric and claims data do not need to leave your environment | |
Detection Modality | Multimodal detection combining visual,audio and temporal analysis | |
Covered Media Types | Face-swaps,voice clones,Al-generated images,and manipulated video evidence | |
Integration Approach | Lightweight SDK and APl integration | |
Real-time Use Support | Designed for real-time use cases such as onboarding,login,transaction verification and claims automation | |
Operating Principle | Acts as an "invisible anti-forgery layer"that works on top of existing face- recognition/eKYC systems | |
1. Local On-Premise Detection Perform deepfake detection within your controlled infrastructure to support data sovereignty requirements.
2. Face-Swap Detection Detect suspicious identity manipulation in customer-provided face media.
3. Voice-Clone Detection Detect cloned voice attempts that could bypass conventional voice-based checks.
4. Al-Generated Evidence Verification Verify authenticity of Al-generated images and manipulated video evidence used in claims or sensitive processes.
5. Multimodal &Temporal Analysis Combine visual+audio +temporal cues to improve robustness against modern Al-enabled forgeries.
6. Low-Latency SDK/API Enablement Support fast integration for real-time decision points across onboarding,login,verification,and automation workflows.
7. On-Top Anti-Forgery Layer Provide detection as an additional protection layer,flagging suspicious synthetic or manipulated media before financial loss occurs.
Financial-Grade On-Premise Deployment Keep detection local—your data stays within your controlled environment.
Multimodal Detection,Stronger Robustness Combines visual,audio and temporal analysis to detect face-swapsvoice clones,and Al-generated evidence.
Low-Latency Integration for Real-Time DecisionsLightweight SDK/APl enables seamless use in onboarding,login,verification and claims automation.
Invisible Anti-Forgery Layer Works alongside your existing face-recognition or eKYC system, helping maintain a smooth experience for genuine users while flagging risky media.
