Synthetic Media Guard
Deep Video Guard
Multimodal deepfake detection for videos and streams.
- Real-time video stream analysis
- Multimodal face & temporal tracking
- Frame-by-frame deepfake detection
Trust & Security
Detect what is
not real.
Ten products that score whether a face, a voice, or a document is real — and produce evidence that survives scrutiny.
- Products
- 34 across 7 categories
- AI models
- 8 running simultaneously
- Deployment
- Cloud, on-prem, or edge
- Trust score
- Graded 1-10, not binary
Product portfolio
Enterprise product suite. Seven categories. One platform.
Synthetic media guard, behavioral intelligence, voice forensics, zero-trust identity, OSINT, video intelligence, and data privacy.
Synthetic Media Guard
Deep Browser Guard
Real-time synthetic media detection on browsers.
- In-browser real-time media inspection
- Client-side deepfake signal detection
- Lightweight extension & web SDK integration
Synthetic Media Guard
Deep Meet Guard
Real-time deepfake detection for virtual meetings.
- Zoom / Teams / Meet session protection
- Live avatar & facial swap detection
- Continuous video call liveness check
Synthetic Media Guard
Deep Fraud Guard
End-to-end deepfake fraud and impersonation risk assessment.
- Executive & VIP impersonation protection
- End-to-end fraud risk scoring
- Incident report generation for legal use
BehaviorID
BehaviorBioAuth
Continuous passive biometric authentication.
- Passive continuous user authentication
- Keystroke & mouse dynamics profiling
- Zero-friction background security
BehaviorID
Continuous Passive Authentication
Liveness, keystroke, heart rate & more for ongoing verification.
- Session-long continuous verification
- Heart rate & motor biometrics tracking
- Instant anomalous session termination
BehaviorID
BehaviorLens AI
Multimodal behavioural intelligence and anomaly detection.
- Multimodal behavioral pattern learning
- Account takeover anomaly detection
- Risk-based adaptive step-up authentication
BehaviorID
Facepay
AI facial authentication for secure, frictionless payments.
- UPI, NEFT & RTGS payment authorization
- Liveness-verified facial checkout
- Anti-spoofing payment fraud protection
Voice Forensics
VoiceMatch AI
Speaker verification and diarization with high accuracy.
- Multi-speaker audio diarization
- High-accuracy voiceprint matching
- Call center biometric verification
Voice Forensics
VoiceExtract AI
Forensic audio extraction and noise separation.
- Background noise & interference removal
- Isolation of target vocal frequencies
- Forensic audio enhancement for evidence
Voice Forensics
VoiceProfile AI
Voice profiling and identity intelligence.
- Acoustic feature extraction & profiling
- Vocal age, accent & demographic analysis
- Synthetic voice anomaly identification
Voice Forensics
VoiceEmo AI
Emotion and intent analysis from voice.
- Prosody & pitch micro-variation tracking
- Vocal stress & deception indicator detection
- Real-time call sentiment analytics
Voice Forensics
CallScreener AI
Real-time voice screening and fraud prevention.
- In-band telephony call screening
- Voice-cloning Vishing attack detection
- Automated scam call interception
Zero-Trust Identity
SyntheticFraudGuard AI
Graph analytics to detect synthetic identities.
- Identity graph clustering & link analysis
- Synthetic identity creation detection
- Cross-institutional fraud network mapping
Zero-Trust Identity
QuantumSafe QR
Post-quantum QR for secure credentials and access.
- Post-quantum cryptographic signature
- Tamper-proof digital credentials
- Offline verifiable physical/digital QR
Zero-Trust Identity
SecurePass QR
Dynamic QR pass for safe visitor and employee access.
- Time-expiring dynamic QR generation
- Biometric-bound visitor pass management
- Zero-trust physical access logging
Zero-Trust Identity
ForgeIDGuard AI
AI document forensics and identity fraud detection.
- Government ID optical & font inspection
- Digital document tampering analysis
- Face-to-document biometric matching
TrustShield OSINT
SocialIntel Analyzer
Social media and public data intelligence.
- Cross-platform OSINT social monitoring
- Fake profile & botnet network detection
- Public threat & misinformation tracking
TrustShield OSINT
Identity Intelligence Engine
Cross-platform identity resolution and linkage.
- Entity resolution across disparate datasets
- Pseudonymous identity unmasking
- Risk score aggregation per subject
TrustShield OSINT
AML Intelligence
Anti-money laundering and transaction pattern detection.
- Transaction anomaly graph detection
- Regulatory PEP & sanctions screening
- Behavioral AML monitoring
Video Intelligence
AnonymousPersonID
Attribute-based person search in videos.
- Privacy-preserving attribute extraction
- Natural language person search in feeds
- Zero-biometric privacy compliance
Video Intelligence
CrossCam PersonTrack
Multi-camera tracking and re-identification.
- Multi-camera spatial re-identification
- Seamless subject path reconstruction
- CCTV network intelligence aggregation
Video Intelligence
SecureZone Monitor
Virtual perimeters and intrusion detection.
- AI tripwire & virtual perimeter defense
- Loitering & restricted zone intrusion alerts
- Real-time camera feed anomaly scoring
Video Intelligence
CrowdSentinel AI
Crowd safety and movement analytics.
- Crowd density & flow velocity estimation
- Stampede & bottleneck early warning
- Public safety incident detection
Video Intelligence
RetailGuard AI
Retail theft detection and behavior analytics.
- Shoplifting gesture & intent recognition
- ORC (Organized Retail Crime) tracking
- Checkout fraud & scan-skipping detection
Video Intelligence
Trust Analytics Video
Video interviews authenticity and trust scoring.
- Graded 1-10 trust score per interview
- Micro-expression & vocal tone scoring
- Auditable authenticity rationale
Data Privacy
Consent Management
Centralized consent lifecycle with granular controls.
- Purpose-level consent ledger
- Multi-language notice engine
- Real-time enforcement API
Data Privacy
Cookie Management
Automated cookie discovery, banners and enforcement.
- Continuous script & cookie scanning
- Geo-gated compliant banners
- Prior consent script blocking
Data Privacy
DSAR Management
End-to-end data subject rights fulfillment and tracking.
- Data subject identity verification
- Automated data discovery for requests
- Statutory SLA tracking & audit report
Data Privacy
PIA / DPIA Assessment
Automated privacy impact assessments and mitigation.
- Automated risk scoring engine
- DPDP, GDPR & EU AI Act assessment
- Defensible auditor evidence records
Data Privacy
Data Breach Management
Breach detection, investigation and incident closure.
- Incident assessment workflow
- Regulatory notification timer
- Remediation & evidence chain
Data Privacy
Continuous Data Detection (CDD/CDR)
Continuous discovery and classification of sensitive data.
- Automated PII data store scanning
- Identity-resolved data mapping
- Continuous data drift detection
Data Privacy
Data Anonymization & Masking
Keep data usable for analytics while individual is protected.
- Format-preserving encryption & masking
- Dynamic column-level redaction
- Synthetic test data generation
Data Privacy
Audit & Evidence Management
Prove compliance from evidence rather than assert from policy.
- Immutable cryptographic audit log
- Board-ready compliance dashboards
- One-click regulatory evidence export
Data Privacy
Privacy Program Governance
Run privacy programme from one control plane.
- Multi-regime policy mapping
- Centralized privacy control plane
- Continuous compliance monitoring
What makes it different
Detection that explains itself
Most deepfake detectors return a binary verdict from one model. FaceOff runs eight models across three modalities and shows which ones agree.
- Cross-modal analysis
- Eight AI models run simultaneously across video, audio, and physiology. A deepfake that fools one modality is caught by another.
- Graded trust, not binary
- The Trust Factor Engine scores 1 to 10 with per-layer reasoning, so a reviewer sees how confident the system is and which signals drove it.
- Explainable evidence
- Every detection decision records which model produced it and which dismissed it, creating an evidence chain that survives legal and regulatory scrutiny.
- Privacy-aware processing
- Stateless architecture stores no biometric templates. Federated deployment keeps data ownership with the subject rather than centralising it.
- Flexible deployment
- Cloud, on-premises, or edge. FaceOff Lite runs on camera hardware and NVR platforms; Federated FaceOff runs across jurisdictions without data movement.
- Enterprise integration
- One API surface for any video source — RTSP, WebRTC, file upload, or SDK — returning scores, evidence, and alerts to the systems that act on them.
How it works
From raw input to actionable evidence
Every source enters through one API. Eight models process it simultaneously. The Trust Factor Engine fuses their output into a single graded score with an evidence chain attached.
Input
Data sources
Video feeds, audio recordings, images, and identity documents enter the pipeline through one API surface.
- RTSP
- WebRTC
- File upload
- SDK
Processing
Adaptive Cognito Engine
Eight AI models run simultaneously across vision, audio, and physiology, with dynamic model weighting per frame.
- Deepfake detection
- Facial emotion
- Eye tracking
- Posture
- Heart rate
- Speech sentiment
- Audio tone
- SpO2
Intelligence
Trust Factor Engine
Cross-modal fusion produces a single trust score from 1 to 10, with per-layer agreement visible rather than a black-box verdict.
Analysis
Explainable results
Every detection decision exposes which model produced it, which dismissed it, and the evidence chain a reviewer can follow.
Output
Business actions
Scores, evidence, and alerts flow to the systems that act on them, via API, webhook, dashboard, or direct integration.
- Reports
- Alerts
- REST API
- Dashboard
Each product can operate independently or feed into the Trust Factor Engine for a unified score. The architecture is stateless: no biometric templates are stored, and data ownership stays with the subject.
Where it runs
The models are the same. The threat model is not.
Each sector has its own fraud economics, its own regulators, and its own systems of record. Start with the industry you operate in.
Financial Services
Banking & Insurance
Multimodal AI fusion across remote onboarding, claims interviews, and high-value transactions — catching synthetic identities before they reach the ledger.
Read the dossierInsurance Fraud
Trust Factor scoring across claimant video statements surfaces inconsistencies in tone, posture, and micro-expression that manual review misses.
See the solutionTelecom & Handset OEMs
On-device trust scoring embedded into the handset stack, giving carriers SIM-swap protection, verified onboarding, and fraud signals at activation.
See the solutionGovernment & Public Safety
Law Enforcement
Real-time inference on live camera feeds for identity verification and incident review, optimised for edge hardware in the field.
Read the dossierGovernance & Risk
Assurance and audit trails for public institutions deploying AI, with explainable detection output that stands up to oversight.
Read the dossierCourts & Legal
Forensic authenticity analysis for video and audio evidence, with provenance reporting and trust scoring that stands up to evidentiary scrutiny.
See the solutionHealth & Education
Education
Remote proctoring and admissions verification backed by liveness detection and behavioural analysis, protecting exam integrity at scale.
See the solutionMedia & Enterprise
Customer Intelligence
Facial emotion, speech sentiment, and audio tone analysis turn recorded conversations into structured signals about credibility and intent.
See the solutionLarge Institutions
Enterprise-scale deployment with federated architecture, so trust analytics run without centralising sensitive biometric data.
See the solutionUniversal Video Feed
One API surface for any video source — RTSP, WebRTC, or file upload — returning authenticity scores and forensic insight in real time.
See the solutionBring your own footage. We will show you what the models see.
Product demonstrations run on your evidence, not ours. Schedule a session and we will walk through what each of the eight models scored, the Trust Factor breakdown, and the evidence chain.
Common questions
Product portfolio FAQ
Questions we hear from technical buyers evaluating the platform.
Can the products be used independently?
Yes. Each product operates as a standalone service with its own API. Deepfake Detection, DeepFace, and Synthetic Fraud Detection each run independently. When deployed together, they feed into the Trust Factor Engine for a unified cross-modal score.
Are APIs available for all products?
Every product exposes a REST API. Video sources connect via RTSP, WebRTC, or file upload. SDKs are available for mobile and edge integration. All endpoints return structured JSON with scores, evidence metadata, and confidence levels.
What deployment options are supported?
Cloud (multi-tenant or dedicated), on-premises, edge, and hybrid. FaceOff Lite is optimised for edge hardware including cameras and NVR platforms. Federated FaceOff runs across jurisdictions without moving biometric data.
Can products integrate with existing applications?
Yes. The API surface is designed to slot into existing workflows — fraud review queues, identity verification pipelines, content moderation systems, and AML monitoring platforms. Webhook and event-driven integration patterns are supported.
Is a trial or demonstration available?
Product demonstrations use your own footage. We run it through the Adaptive Cognito Engine and walk through what each of the eight models scored, and why. Contact the team to schedule a session.
How does the Trust Factor scoring work?
The Trust Factor Engine fuses signals from all active models and produces a single 1-to-10 score with dynamic model weighting. Rather than a binary real/fake verdict, reviewers see a graded confidence level with per-layer agreement visible.
How is biometric data handled?
The architecture is stateless — no biometric templates are stored after processing. Federated FaceOff goes further: trust analytics run without centralising biometric data at all, keeping ownership with the data subject.
See it score a real video.
Bring your own footage. We will run it through the Adaptive Cognito Engine and walk you through what each of the eight models saw.