VAR India, India's premier technology industry publication and platform, has unveiled Faceoff, a groundbreaking multimodal artificial intelligence platform designed to combat the escalating digital authenticity crisis facing enterprises and institutions worldwide. Launched at the VAR India 23rd InfoTech Forum 2025 in New Delhi, Faceoff represents a significant leap forward in real-time behavioral authentication, deepfake detection, and digital trust verification technology.

The platform launch comes at a critical juncture as organizations across sectors grapple with sophisticated deepfake attacks, digital fraud, and authenticity challenges that threaten operational security and consumer trust. Faceoff addresses these challenges through advanced multimodal AI capabilities that analyze multiple behavioral and biometric indicators simultaneously, delivering unprecedented accuracy in digital authenticity verification.

Adaptive Cognito Engine Powers Real-Time Authentication

Faceoff is powered by the proprietary Adaptive Cognito Engine (ACE), which analyzes eight biometric and behavioral cues—including facial micro-expressions, voice sentiment, and eye movement—delivering trust scores and emotional congruence outputs within seconds. This multimodal approach significantly exceeds traditional single-mode detection capabilities.

"The digital authenticity crisis has reached a tipping point where traditional security measures are insufficient," said Dr. Deepak Kumar Sahu, Publisher and Chief Editor of VAR India, and Founder of Faceoff Technologies. "Faceoff represents our commitment to developing world-class technology solutions in India that address global challenges through innovative 'Make in India, Made for the World' innovation."

Privacy-First Architecture with Enterprise Integration

The platform addresses critical privacy concerns through its "privacy-first" architecture, with all processing occurring on-device or within private cloud infrastructure, ensuring zero data transfer. Faceoff integrates seamlessly via SDKs and APIs with platforms including Zoom, Salesforce, YouTube, and Microsoft Teams.

Key capabilities include:

• Real-time deepfake and video manipulation detection
• Behavioral authentication and fraud prevention
• Multilingual NLP support across 25+ languages
• Explainable AI with transparent decision reasoning
• Enterprise-grade scalability and security

Critical Use Cases Across Industries

• BFSI: Real-time fraud detection, secure customer onboarding, and digital transaction verification
• Defense: Personnel authentication, secure communication verification, and threat detection
• Judiciary: Courtroom evidence validation, remote testimony verification, and digital forensics
• Education: Remote proctoring, student verification, and academic integrity monitoring
• Smart Infrastructure: Secure access control, IoT authentication, and smart city security

Multimodal AI Market Transformation

The Faceoff launch aligns with Gartner's prediction that 80% of enterprise software will be powered by multimodal AI by 2030, up from less than 10% in 2024. This transformation enables enterprise systems to process and combine multiple data types—text, images, audio, video—within unified analytical frameworks for more intelligent, contextual insights.

"Multimodal AI represents the next evolution of enterprise technology," Sahu explained. "Our platform demonstrates how these capabilities solve critical security and trust challenges that traditional approaches cannot address."

Immediate Availability and Deployment

Faceoff is immediately available for enterprise pilot deployments with comprehensive integration support. Deployment options include:

• 30-day enterprise trials with full feature access
• Custom integration with industry-specific configurations
• Cloud-based SaaS with flexible pricing models
• On-premises deployment for maximum security requirements

The platform addresses a rapidly expanding market as the global deepfake detection market is projected to reach $12.3 billion by 2030, driven by increasing regulatory requirements and enterprise adoption of AI-driven security solutions.

About Kalinga Digital Media:
VAR India is India's premier technology industry publication and platform, serving the IT channel community for over two decades. Beyond industry publication, VAR India develops cutting-edge technology solutions that address critical industry challenges, fostering innovation and establishing India as a global leader in enterprise technology.

About Faceoff Technology:
Faceoff is an innovative platform (FO AI) for opinion and authenticity management. It empowers genuine user engagement via short-form video, voice, and text, creating a secure channel for feedback between consumers, businesses, and public institutions. Believing "Opinion Matters," Faceoff delivers real-time, verified insights from unfiltered user-generated content, driving smart decisions and authentic community growth.

Faceoff is privacy-first, with all data processed on-device or within private cloud infrastructure, ensuring zero data transfer. It integrates seamlessly via SDKs and APIs with platforms like Zoom, Salesforce, and YouTube. Key use cases include fraud detection, secure onboarding, courtroom evidence validation, and remote proctoring.

With built-in Explainable AI, deepfake detection, and multilingual NLP support, Faceoff is not just about technology—it’s about restoring trust, fostering transparency, and empowering authentic digital engagement in a rapidly evolving AI-driven world.

Multimodal AI to Power 80% of Enterprise Software by 2030.

Enterprise software is poised for a major transformation, with Gartner predicting that by 2030, 80% of all enterprise applications will be powered by multimodal AI—up from less than 10% in 2024. This shift is driven by the rapid advancement of multimodal generative AI (GenAI), which can process and combine multiple data types—such as text, images, audio, video, and numerical data—within a single system.

Multimodal AI enables enterprise systems to better interpret real-world scenarios, offering more intelligent, contextual, and actionable insights. Imagine an AI that watches a factory video, analyzes equipment sensor data, and listens to an operator’s spoken feedback—then provides real-time recommendations. This level of integration will revolutionize operations across industries like manufacturing, finance, and healthcare.

FO AI allows AI systems to move beyond passive analysis to taking proactive actions across a range of tasks—boosting accuracy, decision-making, and efficiency.

With this product leaders can integrate multimodal capabilities to deliver richer user experiences and gain a competitive edge.” With its ability to synthesize and respond to diverse inputs, multimodal AI is set to unlock new levels of productivity and innovation in the enterprise landscape.

As GenAI matures, its integration into business software won’t just be an advantage—it will be a necessity.

This makes FOAI:

• Ultra-secure
• Low-latency
• Scalable
• Deployable across sensitive infrastructures (Government, Banking, Defense, Healthcare)

Architecture Overview

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.