Deeptech Startup Faceoff technologies brings, A hardware appliance, the FOAI Box, will provide plug-and-play deepfake and synthetic fraud detection directly at the edge or within
enterprise networks—eliminating the need for cloud dependency. Designed for enterprise and government use, it will be available as a one-time purchase with no recurring costs.
This makes FOAI:
- Ultra-secure
- Low-latency
- Scalable
- Deployable across sensitive infrastructures (Government, Banking, Defense, Healthcare)
Architecture Overview
| Layer |
Description |
| Edge AI Module |
On-device inference engines for 8-model FOAI stack (emotion, sentiment, deepfake, etc.) |
| TPU/GPU Optimized |
Hardware accelerated inference for real-time video processing |
| Secure Enclave |
Cryptographic core to protect inference logs & model parameters |
| APIs & SDKs |
Custom API endpoints to integrate with enterprise infrastructure |
| Firmware OTA Support |
Update models & signatures periodically without compromising privacy |
The rise of deepfakes and synthetic fraud poses unprecedented challenges to trust and security across industries like government, banking, defense, and healthcare.
To address this, the vision for a Deepfake Detection-as-a-Service (DaaS) in a Box, or FOAI Box, is to deliver a plug-and-play hardware appliance that provides
ultra-secure, low-latency, and scalable deepfake detection at the edge or within enterprise networks, eliminating reliance on cloud infrastructure.
Vision
The FOAI Box aims to redefine fraud-oriented AI (FOAI) by offering a standalone, hardware-based solution for detecting deepfakes and synthetic fraud in real time.
Unlike cloud-based systems, which risk data breaches and latency, the FOAI Box operates locally, ensuring:
- Ultra-Security: Sensitive data remains on-device, protected by a secure enclave, making it ideal for high-stakes environments like defense or healthcare.
- Low Latency: Edge-based processing enables near-instantaneous detection, critical for applications like live video authentication in banking.
- Scalability: Modular design allows deployment across diverse infrastructures, from small enterprises to large government networks.
- Privacy and Compliance: No cloud dependency ensures compliance with stringent regulations like GDPR, HIPAA, or India’s DPDP Act 2023.
- Deployability: Tailored for sensitive sectors, including government (e.g., border security), banking (e.g., KYC verification), defense (e.g., secure communications), and healthcare (e.g., patient data integrity).
Strategic Significance
The FOAI Box addresses critical gaps in deepfake detection, a pressing issue as 70% of organizations reported deepfake-related fraud attempts in 2024 (per Deloitte). Its edge-based, cloud-independent design mitigates risks of data breaches, a concern highlighted by recent Mumbai bomb threat hoaxes and the need for secure systems in sensitive sectors. By offering a scalable, plug-and-play solution, the FOAI Box aligns with global digital-first trends:
Future Outlook
The FOAI Box positions itself as a game-changer in the $10 billion deepfake detection market (projected by 2030). Future iterations could incorporate:
- Quantum-Resistant Cryptography: To counter quantum-based deepfake attacks, aligning with Infosys’s quantum research.
- Multi-Modal Detection: Integrating text, audio, and video analysis for comprehensive fraud prevention.
- Global Standards: Collaboration with bodies like IEEE or India’s MeitY to define deepfake detection protocols.
In an era of deepfakes, distrust, and digital deception, one AI company is rewriting the rulebook on truth. Now, with the strategic entry of Dr. Damodar Sahu, Faceoff is ready to take that
mission global. In a move that reflects the growing global urgency around digital trust, Dr. Damodar Sahu—celebrated voice in enterprise innovation, privacy advocate and ecosystem strategy,
and Co-Founder & Chief Growth Officer at Data Safeguard Inc.—has joined Faceoff Technologies Inc. as Partner and Strategic Advisor for North America Business ....