Synthetic video has crossed the threshold from novelty to risk. Surfshark found that AI-generator-enabled fraud losses reached roughly $410 million in the first half of 2025 alone, and in a survey Gartner released in September 2025, 62% of organizations said they had faced a synthetic media attack in the prior 12 months. The tools to create a convincing synthetic version now sell for as little as $20, so the threat is cheap, fast, and accelerating.

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The exposure is most acute in exactly the sectors that cannot afford to be wrong:

• Media and broadcast: Synthetic video impersonating public figures have driven more than $400 million in losses (Surfshark), and content-provenance standards show where a clip came from, but not whether it has been altered.
• Government and public trust: Gartner predicts that by 2028, 40% of government organizations will establish dedicated “TrustOps” functions to counter synthetic media impersonation and disinformation-as-a-service.
• Public safety: In April 2026, a Florida man was arrested after presenting a sheriff’s deputy with an AI-generated video of a fabricated crime; area agencies went on alert as fake footage began triggering unnecessary emergency responses.
• Financial services and enterprise: Gartner predicts that by 2026, 30% of enterprises will no longer trust identity verification in isolation because of synthetic media attacks on biometrics.

The solution: NVIDIA’s SVD detection model, distributed by Wowza, running where the video already lives

NVIDIA SVD is delivered as an NVIDIA NIM microservice, giving customers a standardized way to deploy optimized AI inference across supported NVIDIA infrastructure. Integrated with Wowza VIF, SVD can run where live video already resides – on-premises, at the edge, in hybrid environments, or fully air-gapped. With 35,000+ deployments and 200,000+ running instances, Wowza is embedded in everything from spacecraft to race cars to sub-sea monitoring systems. Together, NVIDIA SVD and Wowza VIF assist with both detection and deployment, delivering the power of NVIDIA’s detection technology through the media server organizations already trust.

“For more than twenty years, Wowza has made video run wherever our customers need it, on-premises, at the edge, air-gapped, and in environments where failure is not an option. NVIDIA built the best synthetic-video detector in the world. We built the layer that puts it everywhere it’s needed. Together, we’re giving the organizations that protect people the ability to trust what they’re seeing, in real time, on their own hardware.” –  Krish Kumar, CEO, Wowza

“Bringing real-time AI across media workflows, from creation and streaming to verification and response, is critical for video security. By integrating NVIDIA’s synthetic video detection, Wowza is bringing content authenticity directly into the stream, so organizations can identify AI-generated content as it appears while keeping sensitive video on their own infrastructure.” – Richard Kerris, Vice President of Media & Entertainment, NVIDIA

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What the solution means for customers

Proven accuracy. Rather than the surface flaws newer generators are already fixing, NVIDIA’s SVD reads the statistical fingerprints AI generator leaves in a video’s frequency content. That makes it durable: it works on compressed, streamed footage and provides a probabilistic score at a frame level. The approach won the 2025 SAFE Challenge at ICCV and was published at NeurIPS 2025.

Deploy anywhere. SVD ships as an NVIDIA NIM microservices, part of NVIDIA AI for Media with the deployment freedom VIF delivers across Wowza’s footprint in 170-plus countries – making the collaboration a natural fit for both Wowza and NVIDIA customers.

Secure by design. Detection runs inside the customer’s network on their own NVIDIA AI infrastructure; footage, models, and outputs never leave the organization’s control. VIF supports fully air-gapped operation with no telemetry and no license phone-home at runtime, and encrypts all external-facing channels. For organizations bound by data sovereignty, this is the difference between being able to deploy synthetic-video detection and not being able to deploy it at all.

Lower TCO. SVD is TensorRT-optimized for the NVIDIA GPUs Wowza customers already operate, so detection is added with no rip-and-replace and no new datacenter GPU purchase.

Use cases

• Government and public sector. Where impersonation of officials and disinformation-as-a-service erode institutional trust, SVD runs on-premises to support verification at the point of ingest.
• Public safety. Facing air-generated emergency video and fabricated crime footage, teams screen inbound video before responders act.
• Financial services. Flag synthetic executives on video calls and synthetic-video identity attacks with detection that runs inside the enterprise, satisfying data-residency rules.
• Broadcast and media. Verify  footage authenticity in-stream before it goes live.
• Critical infrastructure. Run edge detection on live monitoring feeds – on the operator’s own hardware – to catch ai-generated footage or replayed surveillance video before it masks a real event.