Wowza provides a video platform and on-premises streaming server software that enables businesses to integrate live and on-demand streaming into their products and services. The company differentiates itself through builder-focused APIs and a focus on reliability, offering 99.95% uptime SLAs and SOC 2 compliance. With over 35,000 streaming implementations and 7 patents, Wowza serves diverse sectors including media, enterprise, government, and healthcare. Its solutions are designed to support both quick starts and advanced custom development, positioning it as a scalable partner for video streaming needs.
This article outlines the evolving landscape of global AI-generated video regulations, including mandates in the EU, China, India, and several U.S. states. It highlights the compliance challenges for streaming providers and positions the Wowza Video Intelligence Framework as a tool for real-time synthetic media detection.
Wowza and NVIDIA have integrated the NVIDIA Synthetic Video Detector with the Wowza Video Intelligence Framework to provide real-time detection and reasoning for synthetic video. The solution aims to assist broadcasters and surveillance operators in meeting emerging AI disclosure regulations by providing confidence scores and plain-language explanations at the streaming layer.
Wowza has introduced its Video Intelligence Framework (VIF), a software solution designed to assist organizations in meeting regulatory compliance standards such as the EU AI Act, OSHA safety guidelines, and CJIS evidentiary requirements. The framework integrates the NVIDIA Synthetic Video Detector and supports custom computer vision models for workplace safety and chain-of-custody documentation.
Wowza has released version 1.1 of its Video Intelligence Framework (VIF), which now supports analysis of video-on-demand (VOD) files alongside live streams. The update also introduces a redesigned user interface, enhanced REST API security features, and expanded support for vision-language models including NVIDIA Nemotron and Google Gemma.
Oceaneering has integrated Wowza's Video Intelligence Framework into its subsea ROV operations to automate object detection and telemetry extraction. The workflow uses AI-generated timed metadata attached to live streams via ID3 tags to reduce manual review time for multi-hour dive recordings.
Wowza has released Streaming Engine 4.11, which introduces support for the Video Intelligence Framework, native ARM64 transcoding, and standardized WebRTC ingest via WHIP and WHEP. The update also addresses security vulnerabilities in several third-party components and improves overall server stability.
Wowza has published a technical guide detailing how to configure its Video Intelligence Framework (VIF) to support various AI models, including object detection, scene analysis, and vision-language models. The framework is designed to run inference independently of the primary live delivery path to ensure stream uptime.
Wowza has published technical guidance for optimizing Wowza Streaming Engine on CPU-only infrastructure to handle high-concurrency WebRTC transcoding. The recommendations focus on decoder implementation, audio codec pairing, memory allocator tuning, and horizontal scaling strategies for camera fleet deployments.
NVIDIA and Wowza have integrated the NVIDIA Synthetic Video Detector into the Wowza Video Intelligence Framework to enable real-time detection of AI-generated content within live streaming workflows. The solution, which uses frequency-domain analysis to maintain accuracy across compressed video, is designed for on-premises, edge, or air-gapped deployment.
Wowza has updated its Video Intelligence Framework (VIF) to allow users to swap AI models, such as RF-DETR and ViFi-CLIP, within existing live streaming pipelines. The update enables custom object detection and scene analysis without requiring changes to ingest or transcoding configurations.
Ashique Anwar
Chief Product Officer
Mark Lockwood
Chief Revenue Officer
