(00:00): Intro

(02:16): Generative AI for Accessibility and Searchability

(04:34): ServiceNow Everywhere & Putting Video in Workflows

(09:02): Modernizing Video Delivery with Peer-to-Peer

(13:30): Analytics & Business Intelligence Platforms

(15:48): Shift to Model Context Protocol (MCP)

(18:31): Automating Content Lifecycle and Governance

(23:29): "Last-Mile" Reach with Digital Signage & Accessibility

(27:55): Training and Learning Management System (LMS) Integrations

(31:55): Conclusion

In this episode of the Video at Work Podcast, John Beltrane, Director of Customer Success for Vbrick, and Ben Coffinberger, Practice Director of Customer Success Team for Vbrick, sit down to discuss the top eight video trends they are seeing among customers for 2026. After digging in to the data on customer use cases for enterprise video, they identified common themes of how organizations are using video in innovative ways. From AI-powered analytics that extract real value from video content in seconds to sophisticated content governance with automated lifecycle management, this episode uncovers practical strategies to level up enterprise video strategies and transform how you create, manage, and deliver video at scale.

They discuss how organizations have moved beyond the initial scare of AI, to now utilizing it safely and effectively. They discuss how this drastically improves accessibility and searchability, and allows organizations to incorporate video where work happens. Video is evolving into a powerful engine powering ITSM, HR, Employee Portals and other AI tools, resulting in greater discoverability, reduced support costs, increased productivity, better user experience, and measurable ROI across the enterprise.

John and Ben also explore the shift happening behind the scenes: legacy, hardware-heavy delivery systems are giving way to scalable, software-based peer-to-peer technology.

You’ll hear how industries like healthcare, finance, government, and education are leveraging advanced analytics, real-time performance insights, and AI-driven automation to modernize their video strategies. Plus, they dive into emerging innovations like Model Context Protocol (MCP), as well as older use cases making a return in 2026 like the growing role of digital signage as the “last mile” reach for employees and integrating video into Learning Management Systems (LMS) more effectively.

If you're looking to level up your enterprise video strategy, you won't want to miss this episode. John and Ben discuss real world scenarios of how organizations are achieving impactful results with video, and what's on the horizon in the near future for enterprise video.

Get the Frost Radar report: ⁠https://vbrick.com/radar⁠

(00:00): Intro

(01:15): State of Video in the Enterprise

(03:17): Business Drivers for Video Adoption

(06:15): Key Areas EVPs Can Make a Strategic Impact

(09:45): AI in Video: Multimodal, Agentic AI, Large Vision Models, and More

(15:15): Video as a Fuel Source for AI in New Verticals

(18:18): Predictions of What's Coming Next

(22:33): Generative Video Causing Concerns with Deepfakes and Content Authenticity

(25:50) Frost Radar for EVPs Overview

(28:51): Why is Vbrick a Leader in the Frost Radar?

(35:00) Considerations When Choosing an EVP Provider

(38:03) Conclusion

In this episode of the Video at Work Podcast, Dave Jeyes, VP of Product for Vbrick, and Alaa Saayed, VP of Research for Frost & Sullivan, discuss the evolving landscape of video for businesses. Alaa leads the digital content services practice for Frost & Sullivan, who has evaluated online video platform tools for the past seven years. He brings an analyst perspective on the current state of video in the enterprise, and where it is going in the future.

Video's new role in the enterprise has moved from a nice-to-have to core enterprise infrastructure, and a strategic differentiator for those who are integrating it into work applications and AI initiatives. Dave and Alaa explore the current state of video in enterprises, the driving forces behind the explosion of video and adoption of EVPs, and the impact these platforms can have on employee and customer experiences. The conversation delves into the role of AI in enhancing video utilization, emerging trends in the industry, and future predictions for video in enterprises. Additionally, they discuss the Frost Radar, a benchmarking tool for evaluating EVP providers, and key considerations for organizations looking to select an EVP. Alaa discusses the rationale for Vbrick being named among the top EVP providers in the recent report.

Unmesh Suryawanshi, Visa's Head of Streaming & Security, sits down with Terry Medhurst, Vbrick CIO, to talk all things security in the world of enterprise video. Enterprise video security presents a complex challenge where financial services and high-consequence industries must navigate security threats while delivering seamless user experiences. Security architects face the daunting task of implementing multi-layered protection systems that include role-based access control, device-specific security profiles for BYOD versus corporate environments, and comprehensive encryption for both live broadcasts and stored content. The stakes are raised by emerging AI and deep fake video detection challenges, requiring sophisticated content authenticity verification and source identification systems. The technical complexity deepens with requirements for seamless multi-factor authentication, granular audit trails, and compliance with rigorous frameworks like SOC 2, FedRAMP, and NIST controls. Organizations must balance network security scanning impacts on streaming performance while ensuring malware protection in cloud environments and optimizing session timeout management based on actual video duration. Critical infrastructure considerations include failover systems for live broadcasts, backup security matching primary systems, and API-driven development in cloud and hybrid environments. The discussion reveals how penetration testing and ethical hacking have become essential for validating video workflow security, while threat modeling and regular security refresh cycles help organizations stay ahead of evolving risks. The conversation exposes the intricate dance between user experience expectations and security imperatives, showing how enterprise video platforms must serve both internal and external user communities without compromising on protection standards or inadvertently exposing sensitive data through video content.

In episode 2 of the Video at Work Podcast, Vbrick CEO Paul Sparta sits down with Aragon Research Lead Analyst Jim Lundy for a deep and timely conversation about the growing expectations customers and employees have for video—and how this accelerating demand has left many enterprises scrambling to keep up.

The enterprise video landscape is undergoing a dramatic and sustained transformation. Organizations are facing what Paul describes as a “video tsunami,” an unstoppable surge in the creation, storage, and use of video content across every function of the business. In the episode, Paul reflects on Vbrick’s evolution from its early days providing hardware encoders to its position today as a fully cloud-native SaaS platform. This progression mirrors the industry’s shift: video is no longer a supplementary medium but a critical knowledge asset that fuels daily operations.

The use cases extend well beyond executive town halls and conferencing. Video now supports just-in-time training and microlearning, enabling employees to get the information they need exactly when they need it. It powers IT support and troubleshooting workflows, offering faster, more intuitive guidance than static documentation. Field service teams rely on video to document onsite work, validate maintenance procedures, and improve safety compliance. In industries with distributed operations, such as logistics and transportation, video assists with fleet management and supply chain optimization, helping organizations monitor conditions, ensure accountability, and streamline processes.

Meanwhile, the rise of computer vision is reshaping how enterprises analyze real-world environments. Dash cams, body cams, and security systems are continuously generating massive volumes of visual data. Yet despite the value in these recordings, many organizations still struggle to index, search, and act on what these videos contain. Making sense of this content at scale has become one of the most pressing challenges in enterprise technology.

This is where AI becomes transformative. AI-driven video analysis is turning raw video into structured, actionable data. Vbrick’s platform brings advanced capabilities—including automatic indexing, multi-language transcription, and real-time dubbing—that dramatically reduce the friction involved in managing large video libraries. As AI systems grow more interconnected, the Model Context Protocol (MCP) is emerging as a foundational standard for interoperability. Vbrick is embracing MCP to let organizations use their video libraries as a live, governed data layer for agentic workflows within systems such as Microsoft Copilot, Claude, OpenAI, Salesforce Agentforce, and ServiceNow’s Now Assist. With this integration, AI agents can securely interact with video content to retrieve knowledge, support decision-making, and orchestrate tasks across business applications—all without exposing sensitive data.

With the rapid rise of AI comes equally rapid concern about authenticity. Organizations must navigate a world where AI-generated video is increasingly sophisticated. Vbrick is leading an industry shift from traditional deepfake detection to source verification through its new Verified Authentic framework. Instead of attempting to detect fakes after the fact, the framework ensures content is traced, validated, and trusted from the moment it is created.

Looking ahead, the conversation highlights the next frontier: large image models and advanced ingestion management systems that can handle the explosive growth of enterprise video as hybrid work becomes the norm. As Paul and Jim discuss, organizations that invest now in scalable, secure, AI-ready video infrastructure will be best positioned to harness video as a strategic asset—not just a communication tool, but a core driver of productivity, insight, and operational excellence.

Enterprise video platforms have dramatically transformed from basic recording tools to strategic communication infrastructures. The pandemic accelerated the shift towards cloud-based solutions, highlighting the need for scalable, flexible video technologies that support global organizational communication and training. AI is revolutionizing video management by enabling advanced content tagging, multilingual solutions, and workflow optimization. Organizations now treat video as a critical corporate document, leveraging technologies that make content searchable, extractable, and easily accessible across different platforms. However, this technological evolution brings significant challenges, particularly around content authenticity and security. Emerging technologies like blockchain, watermarking standards, and identity verification are being developed to combat risks such as deep fakes and unauthorized content manipulation. The industry is increasingly focused on creating unified, secure video repositories that protect digital assets while enhancing knowledge sharing. The future of enterprise video technology lies in its ability to integrate AI, ensure content provenance, and provide user-centric access that improves productivity and communication. As content creation becomes democratized, organizations must proactively manage digital assets with sophisticated, ecosystem-compatible video platforms that prioritize security, accessibility, and innovation.

This is the Video at Work Podcast, where the most powerful communication medium meets the 9-to-5. Video is integrated into our daily lives, and it's increasingly being ingrained into work processes. However, video in organizations presents challenges - it's difficult to secure, manage, and truly take advantage of it. The Video at Work Podcast brings the best and brightest minds in the world of enterprise video to talk about innovations, trends, and ways video is changing the way we work.

We're at a pivotal time in the industry. With the rise of generative AI and powerful video AI tools, it's an exciting time to create content, curate it in intelligent ways, and better reach and engage audiences. On the flip side, anyone with an internet connection can produce harmful or misleading content, making security and authenticity more difficult and important than ever.

We'll discuss actionable ways you can leverage video to the fullest - making it work for you and your organization or agency.