Faceoff Introduces Adaptive Agentic RAG: An AI with the Power to Reason and Adapt

Faceoff, an AI-powered trust and authenticity solutions, today unveiled its next-generation Adaptive Agentic RAG, a groundbreaking AI framework that moves beyond pattern detection to achieve true contextual understanding.

This technology empowers the Faceoff platform to reason, learn from experience, and adapt in real-time, setting a new standard for intelligent security and behavioral analysis.

Traditional AI can identify what is happening, but Faceoff's Adaptive Agentic RAG understands why. By instantly retrieving relevant context—such as the nature of an interaction, a user's unique behavioral baseline, or the latest security threats—the agent can interpret human behavior with the nuance of a seasoned expert. This allows it to distinguish between normal anxiety in a high-stakes meeting and the subtle stress indicators of deception, or to recognize a cultural gesture that a generic model might misinterpret.

FaceOff AI that doesn't just analyze data; it synthesizes knowledge. The Adaptive Agentic RAG provides a platform with a form of digital intuition, enabling it to make smarter, more accurate, and justifiable decisions by understanding the full context of any interaction.

The system's most innovative feature is its ability to learn from human feedback. When an operator refines an AI-generated insight, the agent instantly adapts. It updates its knowledge base and fine-tunes its reasoning, ensuring that it becomes more precise and attuned to real-world complexities with every use. This creates a powerful human-AI partnership where the technology continuously evolves to stay ahead of emerging threats.

Key Innovations:

Context-Aware Reasoning: Delivers more accurate insights by understanding the specific circumstances of an interaction.
Personalized Analysis: Reduces false positives by learning and adapting to individual behavioral baselines.
Real-Time Adaptability: Continuously learns from human feedback, making it a truly evolving and intelligent system.

With the launch of the FaceOff’s Adaptive Agentic RAG, it solidifies its position as a pioneer in the next generation of AI, offering a solution that is not only powerful and secure but also intelligent, adaptable, and a true partner in building a more trusted digital world.

FaceOff: A “Make in India” Innovation Against DeepFake and AML

In today’s digital landscape, deepfakes and manipulated media are fast becoming one of the most dangerous threats to trust and security. What began as experimental content has now grown into a powerful tool for fraud, disinformation, and identity manipulation. Protecting digital integrity is no longer optional—it is urgent.

FaceOff Technologies, an Indian start-up, is rising to this challenge with breakthrough innovations in vision technology, emotional AI, and multimodal intelligence. At the heart of its platform lies the Adaptive Cognitive Engine (ACE), a patented AI system designed to detect and neutralize synthetic media threats in real time.

FaceOff’s approach goes beyond simple deepfake detection. By combining visual, audio, behavioral, and biometric cues, its General Advisory Neural Network (GANN) can detect impersonations, coercion, and even subtle manipulations. Signals such as liveness, facial expressions, eye movements, speech sentiment, and body posture are analyzed together to deliver a reliable Trust Factor Score (1–10)—a transparent measure of credibility.

The platform’s Unique Selling Proposition (USP) lies in its world’s first patented multimodal trust engine, capable of running eight AI models in parallel. These include deepfake detection, emotion recognition, rPPG-based heart rate monitoring, SpO2 estimation, eye tracking, audio tone analysis, and more.

Unlike many cloud-dependent systems, FaceOff is zero-cloud, running via secure on-premise APIs or the FOAI Edge Box for high-security, no-internet environments.

Applications span across BFSI, defense, government, and critical infrastructure, where safeguarding identities, Video KYC processes, and video authenticity is paramount. With products like FacePay, FaceOff Flex AI, and DeepFace (scanning surface web, deep web, and dark web for Deepfakes), the company provides a comprehensive defense against synthetic fraud, AML risks, and deepfake proliferation.

A true “Make in India, Made for the World” solution, FaceOff is not just a technology platform—it is a digital trust guardian, delivering adaptive, secure, and responsible AI for the global fight against synthetic threats.

Behaviour Algorithm Set to Replace Passwords in Online Payments:FacePay

The era of passwords in online transactions is nearing its end, as advanced biological behaviour algorithms emerge as the cornerstone of Identity and Access Management (IAM).

Powered by FaceOff AI’s Adaptive Cognito Engine (ACE), FacePay introduces a multimodal behavioural biometric layer designed to secure UPI and other digital payment platforms in real time.

Traditional authentication methods—PINs, passwords, and even basic biometrics—are increasingly vulnerable to phishing, social engineering, spoofing, and malware. These methods also fail to confirm the user’s intent at the moment of payment, leaving gaps exploited by sophisticated fraudsters. FacePay addresses this by requiring proof of liveness, behavioural congruence, and genuine consent before authorising any transaction.

At the heart of FacePay lies its Biological Behaviour Algorithm, which fuses facial recognition with micro-expression analysis, ocular dynamics, posture tracking, and voice sentiment. It validates that a live, legitimate user is present, willingly approving the transaction. Unlike static biometrics, it captures subtle cues—like blink patterns, gaze direction, and emotional state—making impersonation or coercion far more difficult. This algorithm operates entirely on-device, leveraging secure enclaves and hardware acceleration for rapid analysis within two to three seconds. The result is a “Trust Factor” score, which determines whether the payment proceeds, is blocked, or escalated for secondary verification. High-value or suspicious transactions can trigger an additional challenge, such as a head nod or verbal confirmation, further strengthening security.

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For the UPI ecosystem, this approach promises a significant drop in fraud cases, fewer chargebacks, and stronger user trust. Vulnerable segments—like elderly or less tech-savvy users—stand to benefit most from its coercion detection capabilities.

The integration strategy is straightforward: payment apps can embed the lightweight FaceOff Lite SDK, enabling FacePay as an optional or default authentication method. Enrolment requires a one-time secure capture of the user’s facial and behavioural profile.

As cyber threats evolve, the Biological Behaviour Algorithm offers a future-proofed defence. By replacing passwords with adaptive, real-time behavioural intelligence, it sets a new standard for online payment security and cements its place as the core of modern IAM frameworks.

VAR India Unveils 'Faceoff' AI Platform for Digital Authenticity at InfoTech Forum 2025

Pioneering "Make in India, Made for the World" Solution Addresses Global Digital Trust Crisis with Real-Time Behavioral Authentication

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: India’s AI-Powered Digital Trust Platform

Faceoff is a pioneering “Make in India, Made for the World” platform built to tackle today’s digital authenticity crisis. Designed to verify short-form videos, detect deepfakes, and authenticate behavior in real-time, Faceoff is vital for sectors like BFSI, defense, judiciary, and smart infrastructure. Powered by the Adaptive Cognito Engine (ACE), it analyzes eight biometric and behavioral cues—including facial micro-expressions, voice sentiment, and eye movement—delivering a trust score and emotional congruence output within seconds.

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.

Deepfake Detection-as-a-Service (DaaS) in a Box

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.

Dr. Damodar Sahu Joins Faceoff Technologies Inc. as Partner and Strategic Advisor for North America Business

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.

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