Synthetic Impersonation
Fabricated speeches, anchors, and eyewitness footage that fool human observers and erode audience trust.
Critical Infrastructure Protection
Deepfake Defence Hub
Real-time media authentication and broadcast integrity for the age of AI-generated misinformation. Protect your credibility before it's compromised.
Vendor-Neutral
Real-Time Analysis
Broadcast-Ready
LIVE THREAT MONITOR
ACTIVE
Video Deepfake
Face swap detected
BLOCKED
Audio Clone
Voice synthesis alert
FLAGGED
Metadata Analysis
Provenance verified
VERIFIED
Cryptographic Check
Chain of custody intact
SECURE
The Challenge
Why Deepfake Defence Matters
Advances in generative AI have made synthetic audio and video indistinguishable from authentic media. For broadcasters, this introduces asymmetric risk: a single manipulated clip can erode decades of trust within minutes.
The Deepfake Defence Hub is an enterprise-grade software framework that embeds automated, real-time detection, verification, and governance directly into newsroom and broadcast workflows.
Threat Assessment
Emerging Attack Vectors
Operational Blind Spots
Live ingest pipelines lack real-time authentication, creating critical vulnerability windows.
Provenance Gaps
No immutable audit trail for media authenticity and chain of custody verification.
Velocity Risk
Social platforms amplify manipulated content faster than editorial controls can respond.
Foundation
Design Principles
1
Vendor-Neutral & Modular
Detection engines, AI models, and verification components are fully replaceable, avoiding platform lock-in and enabling long-term evolution.
2
Real-Time & Explainable
Sub-second analysis suitable for live broadcasts, with human-readable risk scores and confidence metrics.
3
Interoperable by Design
API-first integration with CMS, MAM, playout automation, and identity systems for seamless workflows.
4
Audit-Ready
Cryptographic provenance and immutable records support compliance, training, and forensic review.
System Design
Architecture Overview
Six interconnected layers provide comprehensive protection from ingestion to broadcast.
1
Media Ingestion Layer
Live feeds, files, and OSINT capture with real-time preprocessing
2
AI Detection Layer
Video, audio, and multimodal analysis using ensemble detection models
3
Verification & Provenance
Cryptographic signatures and distributed ledger-based trust chains
4
Threat Intelligence
Campaign detection and pattern correlation across media sources
5
Editorial Governance
Customizable alerts, approval workflows, and escalation protocols
6
Infrastructure Layer
Secure, scalable cloud or hybrid deployment with HA architecture
Implementation
Deployment & Integration
Flexible deployment models tailored to broadcast latency, sovereignty, and resilience requirements.
On-Premise Edge
GPU-accelerated nodes for latency-sensitive real-time detection
Private Cloud
Sovereign cloud deployment for core services and data residency
High Availability
Active-active architectures with automatic failover
System Integration
Seamless integration with CMS, MAM, IAM, and playout systems
Strategic Value
Transform Crisis Management Into Trust Preservation
By embedding real-time authentication and governance into production workflows, broadcasters move from reactive crisis management to proactive trust preservation.
Protect Editorial Credibility
Real-time authentication prevents misinformation broadcast and protects brand reputation
Reduce Legal Exposure
Immutable audit trails support regulatory compliance and legal defence
Demonstrate Leadership
Lead the industry in responsible AI adoption and ethical journalism
Measurable Trust Asset
Transform audience trust into a quantifiable operational metric
Ready to Protect Your Broadcast Integrity?
Let's discuss how the Deepfake Defence Hub can secure your media workflows and preserve audience trust in the age of AI-generated content.