Wowza deploys Synthetic Video Detector with NVIDIA. July 20, 2026 Wowza's Video Intelligence Framework brings real-time Synthetic Video Detection - powered by NVIDIA's Synthetic Video Detector - to its 35,000 deployments worldwide DENVER, July 20, 2026 (GLOBE NEWSWIRE) - Wowza, whose media server powers more than 35,000 video deployments across 170-plus countries, today announced its plans to distribute the NVIDIA Synthetic Video Detector (SVD) through the Wowza Video Intelligence Framework (VIF)(R). The integration makes NVIDIA Media2's, best-in-class, state-of-the-art synthetic-video detection available on live video streams - running on-premises, at the edge, in hybrid configurations, or fully air-gapped - so the organizations most exposed to synthetic media can detect AI-generated video in real time, on NVIDIA AI infrastructure they already own. The problem: the systems that protect Wowza Media Systems run on video that can now be synthetic 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. 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 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. * 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. Availability The Wowza Video Intelligence Framework is generally available beginning July 20, 2026. VIF ships with production-grade models at launch, including an RF-DETR object detection model and CLIP-based scene analysis. NVIDIA's Synthetic Video Detector is available through VIF for customers running supported NVIDIA AI infrastructure. Read NVIDIA's announcement to learn more: https://blogs.nvidia.com/blog/siggraph-news-2026/#synthetic-video Wowza will showcase the framework through dedicated customer briefings focused on security, public safety, transportation, and industrial operations. About Wowza Wowza provides flexible video infrastructure solutions that power live and on-demand experiences across surveillance, events, entertainment, and more. Trusted by developers and technical teams worldwide, Wowza stands apart for its unmatched deployment control, reliability, and extensibility. Whether streaming from air-gapped networks or hyperscale cloud, customers rely on Wowza to embed scalable video in the most demanding environments without compromising on customization or control. With purpose-built tools, deep protocol support, and expert engineering support, Wowza helps teams build video workflows that just work, anywhere video needs to go. Learn more at www.wowza.com

Wowza launches Video Intelligence Framework to turn any live stream into Real-Time Action on your terms. July 20, 2026 The framework addresses a largely untapped market where billions of hours of live video go unanalyzed - often in situations where real-time action is critical DENVER, July 20, 2026 (GLOBE NEWSWIRE) - Wowza, whose streaming software powers more than 35,000 video deployments and 200,000 running server instances across 170-plus countries, today announced the general availability of the Wowza Video Intelligence Framework (VIF)(R): the intelligence layer for live video. VIF transforms live video into real-time intelligence. Built directly into Wowza Streaming Engine, it continuously analyzes live camera feeds, detects what matters, and turns those insights into actions by alerting operators, annotating video, and triggering automated workflows across the systems organizations use every day. Building on VIF's ability to transform live video into real-time intelligence, Wowza is also partnering with NVIDIA to introduce real-time video authenticity detection. By integrating NVIDIA's Synthetic Video Detector (SVD), VIF will enable organizations to identify synthetic and manipulated content directly within live video streams, bringing the world's most accurate AI-generated video detector into production environments. As part of Wowza's Video Compliance offering, this capability is built natively into VIF and can be deployed on premises, at the edge, in the cloud, or in hybrid environments. Together, Wowza's flexible deployment platform and NVIDIA's industry-leading AI enable organizations to verify the authenticity of live video at enterprise scale while keeping sensitive video entirely within their own infrastructure, delivering a new standard for trusted, compliant, and sovereign AI-powered video. Turning Billions of Cameras Into Intelligent Sensors Organizations have already made significant investments into cameras, video networks, and streaming infrastructure. With more than one billion cameras deployed globally and over 99% of footage never watched, most video investments produce little real-time operational value. VIF changes this by transforming live video into real-time intelligence that detects, alerts, annotates, and takes action automatically. Instead of relying on people to watch screens, organizations can identify critical events as they happen and integrate those insights directly into operational workflows. With VIF, organizations unlock the full value of the video infrastructure they already own. Cameras stop being passive recording devices and become intelligent sensors that improve security, automate operations, reduce risk, and enable faster, data-driven decisions. VIF Brings Intelligence to Live Video for Real-Time Action VIF transforms live video into real-time intelligence. Built directly into Wowza Streaming Engine, it continuously analyzes live video streams, detects what matters, and turns those insights into action by alerting operators, annotating events, and triggering automated workflows. Organizations can deploy their own AI models or third-party models, including NVIDIA's Synthetic Video Detector (SVD), on the infrastructure they already own, enabling real-time intelligence while keeping video, data, and AI under their control. "Our vision has always been that video will become the primary source of data for understanding the world," said Krish Kumar, CEO of Wowza. "For more than two decades, we've helped organizations deliver video wherever they need it. Today, with more than 200,000 Wowza instances running worldwide, VIF represents the next evolution of that platform. Instead of simply transporting and storing video, VIF enables organizations to understand it, take action on it, and turn every live stream into a source of real-time operational intelligence. That's why we're proud to partner with NVIDIA to integrate the world's most accurate AI-generated video detector into VIF, extending the platform with real-time video authenticity and compliance capabilities that customers can deploy anywhere without compromising control of their data." Built for Organizations That Need Flexibility, Cost Control, and AI Sovereignty VIF is built for organizations that want the benefits of AI without giving up control of their infrastructure, data, or operating costs. Whether deployed entirely in the cloud, fully on premises, at the edge, in an air-gapped environment, or as a hybrid architecture, VIF gives customers the freedom to deploy AI where it makes the most technical, operational, and financial sense. Unlike cloud-only AI services, VIF allows organizations to run AI models locally. Video never needs to leave the customer's environment, giving organizations complete control over sensitive data while dramatically reducing ongoing inference and token costs. Customers can leverage their own GPU infrastructure and run models offline, eliminating dependency on external AI services and enabling real-time intelligence even in disconnected environments. For organizations where security, compliance, latency, and cost matter, VIF delivers enterprise AI without compromising flexibility or sovereignty. Key capabilities include: * Deploy anywhere - Run VIF in the cloud, on premises, at the edge, air-gapped, or in a hybrid architecture using the same platform. * Control your costs - Run AI inference locally on your own infrastructure to significantly reduce or eliminate recurring token and cloud inference costs. * Complete data sovereignty - Video, metadata, models, and AI outputs remain under your control, helping meet strict compliance and regulatory requirements. * Offline AI inference - Continue analyzing video even without internet connectivity or access to external AI services. * Air-gapped by design - No telemetry, no runtime license phone-home, and no external dependencies after deployment. * Leverage existing infrastructure - Deploy on existing servers, GPUs, and edge devices without replacing your current video environment. * Model freedom - VIF is model-agnostic. Use Wowza's production-ready models, deploy your own trained models, or integrate third-party models such as NVIDIA's Synthetic Video Detector (SVD). As AI advances, new models can be adopted without changing the underlying platform. From federal agencies and defense organizations to healthcare, financial services, utilities, and industrial operators, VIF gives organizations the flexibility to deploy AI on their own terms, maintaining complete control over where AI runs, how data is managed, and how costs are optimized. The result is a future-proof AI platform that eliminates vendor lock-in, minimizes token costs, and gives customers full ownership of their video intelligence strategy. Built for Developers, Partners, and Platform Builders VIF is built on the same APIs, SDKs, and extension frameworks that developers already use to customize and extend Wowza. This allows platform providers, systems integrators, and software developers to embed video intelligence directly into their own products and build custom detection-to-action workflows without being constrained by black-box AI platforms or rigid templates. Whether it's triggering business workflows, integrating with existing VMS, PSIM, ERP, CRM, or IoT platforms, automating alerts, orchestrating downstream actions, or creating entirely new AI-powered applications, VIF provides the building blocks while allowing partners to maintain complete control over the user experience and business logic. By building on Wowza's proven APIs and developer ecosystem, partners can accelerate development, reduce integration complexity, and focus on creating value-added applications instead of building and maintaining the underlying video infrastructure. This enables them to deliver highly customized, intelligent video solutions that evolve alongside their customers' requirements and advances in AI. Availability The Wowza Video Intelligence Framework is generally available beginning July 20, 2026. VIF ships with production-grade models at launch, including an RF-DETR object detection model and CLIP-based scene analysis. NVIDIA's Synthetic Video Detector is available through VIF for customers running supported NVIDIA AI infrastructure. Wowza will showcase the framework through dedicated customer briefings focused on security, public safety, transportation, and industrial operations. About Wowza Wowza provides flexible video infrastructure solutions that power live and on-demand experiences across surveillance, events, entertainment, and more. Trusted by developers and technical teams worldwide, Wowza stands apart for its unmatched deployment control, reliability, and extensibility. Whether streaming from air-gapped networks or hyperscale cloud, customers rely on Wowza to embed scalable video in the most demanding environments without compromising on customization or control. With purpose-built tools, deep protocol support, and expert engineering support, Wowza helps teams build video workflows that just work, anywhere video needs to go. Learn more at www.wowza.com

Wowza to showcase AI-Powered Video Workflows and emerging streaming architectures at NAB Show 2026. Posted on Monday, April 13, 2026 Wowza will return to NAB Show 2026 with a set of live demonstrations focused on how video infrastructure is evolving for a new generation of AI-powered and operational workflows. From real-time video intelligence to emerging media delivery architectures and continued platform innovation, Wowza will use NAB to show how live video systems are becoming more actionable, adaptable, and production-ready. As video becomes a more important operational system, not just a delivery format, infrastructure needs to do more than move streams from point A to point B. At NAB, Wowza will highlight how modern streaming systems can support AI inference, workflow automation, observability, and emerging delivery models without requiring teams to rebuild from scratch. "Video infrastructure has spent two decades solving for streaming. What enterprises are asking now is fundamentally different - they want video to drive decisions and actions across the business. We're working with organizations where the stakes couldn't be higher. Our customers are running space missions, broadcasting live to millions, and making split-second decisions in emergency rooms. In every one of these scenarios, the data in the video has the power to change how they run their business and drive how mission critical decisions are made. They're coming to Wowza not just to stream, but to put their video data to work." Preview of New AI-Powered Live Video Workflows Wowza will also give attendees and media a first look at a new framework designed to help organizations make live video more operationally useful by enabling AI-powered workflows directly from live streams. The volume of video that sports leagues, broadcasters, and streaming operators are managing has exploded - but the workflows underneath it haven't kept up. More clips, more metadata, more monetization opportunities, more operational oversight and most organizations are still handling it with manual teams or infrastructure built from scratch. For too long, the intelligence has lived inside the camera itself, or required ripping out systems entirely to get something smarter. Meanwhile, the cameras are already there. Wowza's latest work is designed to unlock what that existing infrastructure can actually do without needing to start over. Initial demonstrations will show how live streams can be transformed into real-time signals that downstream systems can act on, including: - Contextual ad break triggering, where scene and object detection can help identify more natural monetization opportunities in live content - Live content tagging and metadata generation, helping teams turn what's happening in a stream into searchable, structured information - Operational event detection, where live video can trigger alerts, workflows, or downstream actions without requiring someone to watch every frame For sports and media organizations, that opens the door to workflows that have historically been expensive, brittle, or reserved for companies with large in-house engineering teams, from smarter highlight and clip pipelines to more responsive production and monetization systems. Emerging Media over QUIC (MOQ) Workflows At NAB, Wowza will also partner with Cloudflare to showcase a live demonstration of a next-generation streaming architecture built around Media over QUIC (MOQ), highlighting how video delivery workflows are evolving to support more modern, flexible, and low-latency distribution models. The demonstration will feature a workflow spanning OBS, Wowza origin infrastructure, Cloudflare relay infrastructure, and MOQ playback, giving attendees a look at how open, modern delivery architectures can be explored without requiring teams to rework their core streaming stack. As part of that presence, Barry Owen, Chief Solutions Architect at Wowza, will demo in the Cloudflare booth (W2300) during the show: - Sunday, 12:00-1:00 PM - Tuesday, 2:00-3:00 PM Continued Innovation Across Wowza Streaming Engine In addition to these demonstrations, Wowza will be discussing continued innovation across Wowza Streaming Engine, including advancements designed to support more flexible, observable, and production-ready live video workflows. Meet With Wowza at NAB Show 2026 April 18-22 | Las Vegas, NV Meeting Room W2674MR Wowza will be onsite throughout NAB for scheduled meetings, product previews, roadmap conversations, media briefings, and partner discussions. Whether attendees want a first look at Wowza's latest technology, want to discuss a specific use case, or want to connect with the team about where video infrastructure is headed next, meetings can be booked in advance at: Additional Wowza Presence at NAB - Streaming Media Summit Happy Hour Monday, April 20 at 5:00 PM West Hall third-floor balcony About Wowza Wowza provides flexible video infrastructure solutions that power live and on-demand experiences across surveillance, events, entertainment, and more. Trusted by developers and technical teams worldwide, Wowza stands apart for its unmatched deployment control, reliability, and extensibility. Whether streaming from air-gapped networks or hyperscale cloud, customers rely on Wowza to embed scalable video in the most demanding environments without compromising on customization or control. With purpose-built tools, deep protocol support, and expert engineering support, Wowza helps teams build video workflows that just work - and connects video to the systems, models, and downstream actions that make it useful.