Media & Entertainment

Broadcast deepfake detection and content verification for media teams

Synthetic media doesn't announce itself. We detect it before it reaches editorial review and watermark everything you produce so you can prove what came from you.

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Data Security

Enterprise-grade. Out of the box.

Built for environments where security is non-negotiable — from air-gapped infrastructure to international data regulations.
SOC 2 Type II
Independently audited security controls covering availability, confidentiality, and data integrity.
In-progress
GDPR
Fully compliant with EU data protection regulations. No personal data processed without lawful basis.
Compliant
HIPAA
Supports healthcare and public health agency deployments with full HIPAA-aligned data handling.
Compliant
ISO 27001
Internationally recognised standard for information security management systems.
In-progress
Air-gapped deployment
Fully containerized on-premises install. No external connections. No data leaves your environment ever.
Available
Deploy in 24 hours
Guided installation wizard gets you from contract to live detection in under a day — not months.
On-prem & cloud
Zero retention mode
Submitted media is permanently deleted after detection completes — no retention, no re-analysis. Meets the strictest data sovereignty requirements.
Available
API-first architecture
Single REST API covering all modalities. Integrates with existing SIEM, SOAR, and identity platforms.
Production-ready
MEDIA & ENTERTAINMENT RISK VECTORS

Six synthetic media vectors entering broadcast, publishing, and streaming pipelines.

Each one targets a different stage of production. Resemble AI detects all six through a single API, returning a frame-by-frame heatmap and confidence score before content reaches editorial review.
View incident databaseContact us
Risk TYPE
METHOD
MODALITY
VICTIM
1
AI-generated UGC
Creator or influencer submits synthetic content that appears authentic to editorial teams.
    
Brand / Editorial teams
2
Unauthorized voice cloning
Talent voice cloned without consent and used in content, advertising, or impersonation.
Talent & rights holders
3
Deepfake talent
Synthetic face or voice of a known figure inserted into video or audio content without authorization.
  
Studios/ Networks
4
Screener and asset leaks
Unprotected screeners or pre-release assets distributed without a traceable provenance signal.
    
Studios / Distributors
5
Synthetic misinformation
AI-generated video or audio of real events or public figures distributed to appear as factual reporting.
  
News networks / Advertisers
6
EU AI Act non-compliance
AI-generated content published without required watermarking, exposing the organization to regulatory fines
    
Compliance / Legal teams
Modalites:   Audio =     Video =      Image =
GENERATIVE AI PROTECTION IN ACTION

How detection and watermarking work across your production pipeline

Real-time detection — audio, video, and image
Frame-by-frame analysis shows exactly where manipulation occurred
Multimodal watermarking and content provenance
C2PA enrollment included
On-premises or air-gapped deploy in 24 hours
Editorial verification
Audio, video, and image files submitted for publication
Frame-by-frame analysis returns manipulation type and explainability
Editorial team has defensible record before story is published
Asset watermarking
AI-generated content across audio, video, and image
Invisible PerTH watermark embedded at point of generation
C2PA manifest attached for two-layer provenance
Content localization
Podcast, audiobook, and broadcast localization workflows
Host voice cloned once; speech generated across 23 languages
Original voice, tone, and cadence maintained across languages
Talent voice protection
Talent, labels, rights holders, and studios
Artist voice enrolled; synthetic matches flagged automatically
Rights team alerted with forensic evidence before content goes live
Advertising & brand safety
Brand marketing and media buying workflows
Detection runs on creative asset before campaign goes live
Brand and legal teams alerted before unauthorized content airs
Rights & licensing verification
Content submitted for syndication or licensing contains synthetic element
Detection runs before rights agreement is signed
Legal team receives forensic report with manipulation type and attribution

My mind is blown.

Head of Media, Global Entertainment Brand
96.7%
Detection accuracy on 4 seconds of audio
RESPONSIBLE AI DEVELOPMENT

The only generative AI company whose protection tools came first.

As pioneers of synthetic media, we built the detection tools required to secure it. Our technical depth makes us a trusted policy advisor globally — from testifying before the U.S. Senate to signing Canada's Voluntary Code of Conduct on Responsible AI.

Every product starts from the same question: what happens when this gets misused?

RESEMBLE AI ETHICS COMMITMENT

Zohaib Ahmed, CEO — U.S. Senate testimony on deepfakes & election integrity

INTEGRATIONS

Works with your existing stack

All integrations
Frequently asked questions
How do broadcasters detect deepfake video before air?
Teams submit the file via API before broadcast. Detection covers video frame-by-frame, returning a manipulation heatmap showing where synthetic content appears and at what timestamp. For automated workflows, the API integrates directly into ingest pipelines so every asset is checked before it reaches editorial review.
What tools do news publishers use to verify AI-generated content?
Resemble Detect analyzes audio, video, and image files for generative AI artifacts at the pixel and signal level, without relying on metadata or watermarks. Each detection returns a confidence score, manipulation type, and visual heatmap — giving editorial teams a defensible record for content decisions.
How do streaming platforms protect against synthetic media abuse?
Detection runs at the point of content submission; watermarking runs at the point of generation. Resemble Detect flags AI-generated files before they enter the catalogue. PerTH watermarking embeds an invisible provenance signal into every generated asset, surviving compression, re-encoding, and format conversion.
What content authenticity regulations apply to media companies?
The EU AI Act requires watermarking on all AI-generated content effective August 1, 2026, with fines up to €35 million for non-compliance. Broadcast standards bodies in the UK, EU, and US are developing additional frameworks for AI-generated content in journalism and advertising.
How does watermarking survive real-world distribution?
PerTH watermarks are embedded at the signal level, not as metadata. They survive compression, re-encoding, format conversion, and replay attacks. Removing the watermark without degrading the file is extremely difficult. If tampering is severe enough to strip the mark, the file loses evidentiary value.
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