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 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 AI enable organizations to verify the authenticity of live video at enterprise scale while keeping sensitive video entirely within their own infrastructure.

VIF transforms 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.

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

VIF allows organizations to run AI models locally. Video never needs to leave the customer’s environment, giving organizations control over sensitive data while reducing ongoing inference and token costs. Customers can leverage their own GPU infrastructure and run models offline.