Detect what is not real across media, identity and voice

Multimodal Data Stream

7 Signals Connected

📷

ImageScanning beams & pixel forensics

📹

VideoTemporal & motion consistency

🎙️

VoiceAcoustic waves & neural voice model

📄

DocumentMulti-layer forensic validation

👆

BehaviourSession & keystroke dynamics

🆔

IdentityCryptographic verification rings

🌐

OSINTIdentity graph & entity links

🛡️Engine

TRUST INTELLIGENCE

Cross-modal signal fusion & graph reasoning

Evidence-backed decision

Active Signal Inspection

ImageScanning beams & pixel forensics

Stateless & zero-egress options availablePrivacy-First Architecture

Product Portfolio: 25 products across 7 categories
Deployment Modes: Product-dependent: Cloud, on-prem, edge, private-cloud & air-gapped
Verification Engine: Evidence-backed cross-modal reasoning
Privacy Control: Zero-egress & stateless options

OVERVIEW

Trust every digital signal

Verify whether images, videos, voices, identity documents, digital credentials, transactions and camera events can be trusted. FaceOff brings specialised AI, forensic analysis, behavioural intelligence, graph analytics and cryptographic verification into one enterprise security portfolio.

PORTFOLIO ARCHITECTURE

One security platform, Seven specialised domains

Digital threats no longer arrive through a single channel. A forged identity may combine an AI-generated face, cloned voice, manipulated document, fabricated social profile and fraudulent transaction history. FaceOff addresses each layer through specialised products that can operate independently or be integrated into a broader trust workflow.

1. SyntheticMediaGuard

Detect synthetic media wherever it appears

Explore SyntheticMediaGuard

Analyse photographs, recorded video, audio, identity documents, browser media and live virtual meetings for signs of manipulation, impersonation or AI generation.

DeepImageGuard

Determines whether a photograph is genuine, edited or AI-generated using multiple image-forensic signal families and explainable evidence views.

DeepVideoGuard

Runs multimodal forensic checks across video frames, motion, frequency characteristics, physical consistency and audio-visual alignment.

DeepAudioGuard

Examines audio recordings for cloned or synthetic voices using signal-processing analysis and a trained neural voice model.

DeepFraudGuard

Assesses photographs, documents and identity papers for editing, forgery, AI generation and internal inconsistencies.

DeepBrowserGuard

Checks online video and browser-based media while it is being viewed, including HTML5 and WebRTC sources.

DeepMeetGuard

Joins supported virtual meetings as an independent participant and analyses attendee video and audio for deepfakes, cloned voices and impersonation indicators.

Deepfake Finder

Discovers and verifies suspected deepfake videos across supported online platforms, organizing findings into repeatable investigation cases.

2. BehaviorID

Confirm the person behind the interaction

Explore BehaviorID

Protect onboarding, authenticated sessions and payment approvals through liveness verification, behavioural pattern analysis and transaction-specific identity checks.

BehaviorBioAuth

Uses randomised guided challenges, continuous liveness checks, server-side deepfake analysis and identity-document matching for regulated onboarding.

BehaviourLens AI

Conducts fully autonomous voice-based interviews, fusing acoustic emotion, visual micro-expression and linguistic sentiment into one behavioural signature per turn.

Facepay

Uses face, gaze, micro-expression, posture and voice signals to assess whether an enrolled person is genuinely approving a payment. Its dedicated page describes on-device processing and integration through an embedded SDK.

3. Voice Forensics

Understand who is speaking—and whether the voice is genuine

Explore Voice Forensics

Support speaker verification, audio restoration, acoustic profiling, emotion and intent analysis, and real-time fraud screening for voice channels.

VoiceMatch AI

Speaker verification, voice matching and multi-speaker diarisation.

VoiceExtract AI

Separates target speech from background noise and interference for clearer forensic review.

VoiceProfile AI

Extracts acoustic characteristics for voice profiling and identity intelligence.

VoiceEmo AI

Examines prosody, pitch and vocal variation for emotion and intent analysis.

CallScreener AI

Screens live calls for voice-cloning, vishing and other fraud indicators.

4. Zero-Trust Identity

Verify the credential, not merely what it displays

Explore Zero-Trust Identity

Combine signed credentials, offline verification, pharmaceutical anti-counterfeiting and identity-graph analysis to reduce forged-document and synthetic-identity risk.

QuantumSafe QR

Issues and verifies signed QR credentials, validates authenticity before revealing protected contents, and supports connected and low-connectivity verification.

PharmaQR

Applies post-quantum signatures and hierarchical key management to pharmaceutical packaging verification.

SyntheticFraudGuard AI

Uses identity graphs, link analysis and clustering to detect synthetic identities and connected fraud patterns.

5. TrustShield OSINT

Turn public information into verified intelligence

Explore TrustShield OSINT

Discover public digital footprints, resolve identity connections, analyse social activity and create evidence-ready intelligence within controlled infrastructure.

SocialIntel Analyzer

Provides dedicated modules for publicly visible activity across Facebook, Instagram, LinkedIn and X. Its page describes local collection, local AI analysis, relationship mapping, scoring and multi-format reporting.

Identity Intelligence Engine

Starts from a phone number, email address or name, runs multiple public-source investigation methods in parallel and cross-checks findings before showing confirmed identity connections to the analyst.

6. Video Intelligence

Make existing camera networks searchable and actionable

Explore Video Intelligence

Search people through non-biometric attributes, reconstruct movement across cameras, monitor protected zones, identify crowd-safety risks and detect suspicious retail activity.

AnonymousPersonID

Searches video using attributes such as clothing, colour and height without relying on stored facial templates.

CrossCam PersonTrack

Reconstructs a subject’s movement across multiple cameras and surveillance locations.

SecureZone Monitor

Creates virtual perimeters and detects loitering, intrusion and restricted-zone activity.

CrowdSentinel AI

Analyses crowd density, movement, flow and possible bottleneck or public-safety conditions.

RetailGuard AI

Supports shoplifting-pattern detection, organised retail crime tracking and checkout anomaly detection.

Trust Analytics Video

Analyses the same clip through multiple visual, audio, physiological and frame-integrity signals and produces an explainable authenticity assessment.

7. Home-Grown SLM

The model comes to your data

Explore Home-Grown SLM

Deploy an in-house small language model on your hardware, inside your private cloud or in an air-gapped environment. Prompts, documents and embeddings remain within the selected boundary, while model interactions can be recorded for governance and audit purposes.

Built for organisations that cannot place sensitive records, investigation material, KYC documents or regulated personal data into an external hosted-model processing chain.

UNIFIED WORKFLOW

From raw signal to actionable evidence

Whether operating independently or integrated into enterprise response queues, signals move seamlessly from source ingestion to correlated evidence.

Connect the source

Submit an image, document, audio recording or video file; connect an RTSP, WebRTC or browser source; invite a meeting-analysis participant; integrate an SDK or API; or begin an OSINT investigation from a permitted public-source lead.

Step 01 of 05→

Route it to the relevant engine

The workflow selects the appropriate image, video, voice, behavioural, document, graph, cryptographic or language-model capability.

Step 02 of 05→

Analyse independent signals

Each product runs the checks appropriate to its purpose. A photograph may require image forensics, while an identity investigation may require entity resolution and graph verification.

Step 03 of 05→

Correlate the evidence

Relevant signals are combined into a reasoned result without implying that every product uses the same model ensemble.

Step 04 of 05→

Trigger an action

Return an API response, create a forensic report, raise an alert, populate a review queue, update a dashboard or preserve an auditable evidence trail.

Step 05 of 05→

WHY FACEOFF

Security decisions that can be examined

Enterprise security demands transparent, verifiable evidence rather than black-box confidence scores.

Specialised products, not one generic detector

Each threat is handled by a product designed for its specific input and operational workflow.

Differentiator 01Enterprise Grade

Evidence beyond a label

Relevant products provide forensic views, signal-level reasoning, event histories, graphs, annotated outputs or downloadable reports.

Differentiator 02Enterprise Grade

Deploy around the data

Depending on the product, deployment options include cloud, on-premises, edge, private-cloud/VPC and air-gapped environments.

Differentiator 03Enterprise Grade

Independent or integrated

Organisations can adopt one focused capability or integrate several products into a broader security workflow.

Differentiator 04Enterprise Grade

Privacy architecture matched to the product

Some capabilities use stateless processing, attribute-based person search, local analysis, secure enclaves or zero-egress deployment. Biometric and privacy controls are applied according to each product's specific deployment mode.

Differentiator 05Enterprise Grade

Trust should be verified before it becomes a decision

Bring a representative image, recording, document, meeting, camera feed or identity-verification workflow. FaceOff will demonstrate the relevant product against the threat your organisation actually faces.

Request a demo Explore all products