Wowza has launched a new framework that transforms live video streams into real-time intelligence by analyzing camera feeds directly on an organization's own infrastructure, eliminating the need to send sensitive video to external cloud services. The Video Intelligence Framework (VIF), now generally available as of July 20, 2026, represents a significant shift in how organizations can extract value from the more than one billion cameras deployed globally, over 99 percent of which never produce actionable insights.

What Problem Does This Solve for Organizations?

Most organizations have already invested heavily in cameras, video networks, and streaming infrastructure. Yet the vast majority of that video footage sits unused, generating little real-time operational value. VIF changes this equation by continuously analyzing live streams and automatically detecting critical events, alerting operators, annotating video, and triggering workflows across existing business systems. Instead of requiring people to monitor screens constantly, organizations can identify what matters as it happens and integrate those insights directly into their operations.

The framework is built directly into Wowza Streaming Engine, which already powers more than 35,000 video deployments and 200,000 running server instances across 170 countries. This means organizations can deploy VIF on infrastructure they already own and operate.

How Can Organizations Deploy This Technology?

VIF is designed for organizations that want artificial intelligence (AI) capabilities without surrendering control of their data, infrastructure, or costs. The framework offers flexibility across multiple deployment models:

• Deployment Locations: Run VIF in the cloud, entirely on premises, at the edge, in air-gapped environments, or as a hybrid architecture using the same underlying platform.
• Cost Control: Run AI inference locally on your own graphics processing units (GPUs) and servers to significantly reduce or eliminate recurring token and cloud inference costs associated with external AI services.
• Data Sovereignty: Video, metadata, AI models, and AI outputs remain entirely under your control, helping organizations meet strict compliance and regulatory requirements without relying on third-party data handling.
• Offline Capability: Continue analyzing video even without internet connectivity or access to external AI services, enabling operations in disconnected or remote environments.
• Air-Gapped Security: The system includes no telemetry, no runtime license phone-home requirements, and no external dependencies after initial deployment.
• Model Flexibility: VIF is model-agnostic, allowing organizations to use Wowza's production-ready models, deploy their own trained models, or integrate third-party models without changing the underlying platform.

This flexibility appeals to federal agencies, defense organizations, healthcare providers, financial services firms, utilities, and industrial operators that prioritize security, compliance, latency, and cost control.

What Role Does NVIDIA Play in This Launch?

Wowza is partnering with NVIDIA to integrate real-time video authenticity detection directly into VIF. By incorporating NVIDIA's Synthetic Video Detector (SVD), the framework can identify synthetic and manipulated content within live video streams. This capability is built natively into VIF's Video Compliance offering and can be deployed on premises, at the edge, in the cloud, or in hybrid environments. The integration brings what NVIDIA describes as the world's most accurate AI-generated video detector into production environments while allowing organizations to keep sensitive video entirely within their own infrastructure.

"Our vision has always been that video will become the primary source of data for understanding the world. 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," said Krish Kumar, CEO of Wowza.

Krish Kumar, CEO at Wowza

Who Benefits Most From This Technology?

VIF is built on the same application programming interfaces (APIs), software development kits (SDKs), and extension frameworks that developers already use to customize 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 rigid templates or black-box AI platforms.

Developers and partners can trigger business workflows, integrate with existing video management systems (VMS), physical security information management (PSIM) systems, enterprise resource planning (ERP) systems, customer relationship management (CRM) systems, or Internet of Things (IoT) platforms. They can automate alerts, orchestrate downstream actions, or create entirely new AI-powered applications while maintaining 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 underlying video infrastructure. This enables them to deliver highly customized, intelligent video solutions that evolve alongside their customers' requirements and advances in AI.

What Makes This Different From Cloud-Only AI Services?

Unlike cloud-only AI services that require sending video to external servers, VIF allows organizations to run AI models locally on their own infrastructure. This approach eliminates dependency on external AI services, dramatically reduces ongoing inference and token costs, and enables real-time intelligence even in disconnected environments. For organizations where security, compliance, latency, and cost matter, VIF delivers enterprise AI without compromising flexibility or data sovereignty.

The framework ships with production-grade models at launch, giving organizations immediate capabilities without requiring custom model development or training. As AI advances and new models become available, organizations can adopt them without changing the underlying VIF platform, eliminating vendor lock-in and protecting their technology investments.