The Digital Production Partnership (DPP) is widely regarded as the leading independent authority in global media technology, and its annual NAB report is one of the most closely read pieces of industry analysis published each year. Broadcasters, studios, and technology vendors around the world treat it as the definitive read on where the industry is heading. This year's edition, "NAB 2026: Demand vs Supply", is now available, and Ceivo features prominently throughout. Across two of the report's headline chapters, Cloud Repatriation and Security and Trust, the DPP analysts call out Burnlab and the Ceivo platform a total of three times, positioning Ceivo alongside the most consequential infrastructure stories of the show.
For the team at Burnlab, this is one of the clearest signals yet that the agent-native approach we've been building toward is landing where it matters most: with the analysts, broadcasters, and operators who are setting the bar for what production-grade AI looks like in 2026.
"Effective agentic AI integration" in the asset layer
In the Beyond Cold Storage section of the Cloud Repatriation chapter, the DPP frames the shift in archive and asset management as the redefinition of an entire layer of the supply chain. The analysts list Burnlab alongside DAC, Telestream, Avid, Obvious Future, and Knox Media Hub as the vendors driving that change, and they single Ceivo out for how it ties AI directly into the way teams find and act on content:
"Effective agentic AI integration into media workflows was highlighted by Burnlab with their Ceivo platform. It uses AI to identify and create content clusters to not only help customers identify what they have, but also to ease stored in other systems to be indexed, tracked, and accessed within a single interface. It also provides tools to help customers to choose the best AI models for their workflows based on both functionality and cost per hour."
That last point matters. The DPP picked up on something we hear from every customer conversation: teams don't just want AI on their content, they want to understand which model to use, what it will cost per hour, and how to switch when a better one comes along. Ceivo treats model selection as a first-class operational decision, not a hard-coded vendor lock-in.
"More granular control over how and where AI services are deployed"
In the same chapter, the Isolation as a Strategy section examines the renewed appetite for on-prem and air-gapped deployments, driven by concerns about content leaving the boundary and ending up in someone else's training set. The DPP highlights Wowza, Pexip, Obvious Future, and Telestream alongside Ceivo, and credits us with helping operators draw those boundaries clearly:
"Ceivo is also contributing to this shift by providing more granular control over how and where AI services are deployed, allowing organisations to define clear boundaries around processing and access."
This is exactly the design intent. Ceivo lets customers run inference on the model they choose, in the environment they choose, with policy applied before any content moves. That's why air-gapped deployments and hybrid cloud deployments both fall out of the same architecture, rather than requiring two separate products.
"One of the most advanced agentic security frameworks at NAB"
The line we were most struck by sits in the Security and Trust chapter, in a section the DPP titled Governing the Machines. The analysts spend that section laying out why AI agents are a fundamentally new category of actor in the media ecosystem, neither human nor traditional API, and why most vendors' existing authentication models simply do not fit. They then write:
"One of the most advanced agentic security frameworks at NAB was presented by Burnlab in their Ceivo platform. Within the Ceivo Web UI, administrators can assign very granular levels of permissions to individual agents both in terms of the functionality as well as the content each has access to. This is made possible by assigning each agent with an agent-to-agent (A2A) key bound to a particular and named role. The role declares exactly which Agent API skills the agent can call, without the granting of any implicit access or ambient credentials. Agents are also completely blocked from using tokens assigned to human users. Additionally, Ceivo provides logs of every agentic interaction, enabling administrators to track every interaction between individual agents and managed content, to detect where anomalies have occurred."
Being described as "one of the most advanced agentic security frameworks at NAB" by the DPP is a milestone for the team. The Ceivo agent identity model, the A2A key system, the role-scoped Agent API, and the per-interaction audit log were all built in direct response to what our customers told us they needed before they would let an autonomous agent anywhere near a real media library. Hearing those design choices reflected back, almost feature-by-feature, in an independent analyst report is a strong validation that we read the moment correctly.
Later in the same section, the DPP returns to Ceivo a third time, drawing a direct line between Burnlab and Fastly's ContentGuard service:
"Like Burnlab, Fastly provides a granular level of control for operators to identify and selectively govern how different agents interact with content."
Being used as the reference point for how a CDN-scale player approaches the same problem is the kind of comparison that says quite a lot about where the industry now expects agentic governance to sit.
What the DPP saw, and why it matters
Taken together, the three mentions place Ceivo at the intersection of the two biggest architectural shifts the DPP identified at NAB 2026. On one side, archives and asset management systems are becoming the active centre of media operations, with AI making historical content newly valuable. On the other, operators are pulling sensitive AI workloads back onto infrastructure they control, and demanding agent-level identity, scoping, and observability before they let autonomous systems anywhere near it.
Ceivo lives squarely in the middle of those two trends. The platform was designed from day one to make AI agents a first-class operational concern, with the same governance, traceability, and cost control that the rest of the supply chain takes for granted. The DPP report confirms what we have been hearing in customer conversations all year: the industry has moved past the "is this real" stage of agentic AI and is now asking the much harder question of how to deploy it responsibly at scale.
About the DPP
The Digital Production Partnership is the global membership network for media, technology, and production companies, and the most influential independent voice shaping how the industry adopts new technology. Its research, working groups, and reports set the operational and governance vocabulary that broadcasters, studios, and platforms use to evaluate vendors and architectures. When the DPP highlights a capability, the industry pays attention, which is what makes the breadth of the Ceivo coverage in this year's NAB report especially meaningful.
Read the report, talk to the team
The full DPP NAB 2026 "Demand vs Supply" report is available to download here: NAB 2026: Demand vs Supply.
If you want to dig into any of the Ceivo capabilities the analysts called out, whether that is the A2A agent identity model, the per-agent audit log, the on-prem and air-gapped deployment options, or the model selection tools, reach out and we will set up time.
We are also continuing the conversation in person across the rest of the year, including upcoming DPP working groups and member events. If you saw us at NAB on the Signiant Connected Intelligence booth and want to pick up where we left off, this is a great moment to do it.