What Is Multi-Region Video Routing and How Does It Prevent Lag in Global Meetings?

The Nine AM Call That Nobody Enjoys

Picture an ordinary Tuesday. A product team in Bengaluru is trying to run a design review with an engineering lead in Berlin, a sales director in São Paulo, and a founder who happens to be at a conference in San Francisco. Everyone has decent internet. Nobody is on a flaky café Wi-Fi. And yet, within about four minutes, the call has settled into that horribly familiar rhythm: someone starts a sentence, someone else starts talking over them because they didn’t realize the first person had started, there’s an awkward half second of silence, and then two people say “sorry, go ahead” at exactly the same moment. Nobody in that meeting thinks of the problem in engineering terms. They just think, “this call feels off.” Maybe they blame their router. Maybe they blame the platform. Maybe they just quietly decide that global calls are always a bit painful and stop expecting better. But there’s a very specific, very physical reason that call felt the way it did, and it has almost nothing to do with anyone’s home Wi-Fi. It has to do with where the video traveled before it reached everyone’s screen. This is where multi region video routing comes in. It’s one of those pieces of infrastructure that, when done well, is completely invisible. Nobody in a smooth call stops to think, “wow, great regional relay placement.” They just think the meeting went fine. It’s only when it’s done poorly, or not done at all, that people notice, and by then they usually blame the wrong thing. This piece is a deep, honest, engineering minded look at what multi region video routing is, why the geography of your infrastructure matters as much as the quality of your codec, and what platform built for global teams needs to get right.

What Multi Region Video Routing Means

Strip away the jargon and the idea is almost embarrassingly simple: instead of running your video conferencing infrastructure out of one data center in one part of the world, you run it out of several, spread across different continents or regions, and you build a system smart enough to automatically connect each participant to whichever one is physically closest to them. That’s it. That’s the core idea. The complexity lives entirely in the “automatically” part. A traditional, naive video setup has a single relay server, maybe sitting in a data center in Virginia or Frankfurt. Every participant, no matter where they are calling from, sends their audio and video to that one server, and that server sends everyone else’s streams back to them. If you’re in Virginia calling someone else in Virginia, this works beautifully. If you’re in Manila calling someone in Lagos through that same Virginia server, every single packet of your voice and video must travel halfway around the world, get processed, and travel back. Twice. For every single frame, for the entire length of the call. Multi region routing replaces that one distant server with a network of relay points scattered across the regions where your users are: North America, Europe, South Asia, Southeast Asia, South America, and so on. When someone joins a call, the system looks at where they’re connecting from and hands them off to the nearest available relay. Someone in Mumbai gets routed through infrastructure in, say, Mumbai or Singapore. Someone in London gets routed through infrastructure in Europe. The regional relays then talk to each other over optimized backbone connections to stitch the whole call together, but each individual participant’s leg of the journey, the part that’s most sensitive to distance and jitter, stays short. It’s the difference between mailing a letter directly from Mumbai to São Paulo and mailing it through a well-organized international courier network that has sorting offices in both cities and a fast, dedicated route between them. The letter still gets there. But the courier network handles congestion, unexpected delays, and distance far more gracefully than one overworked post office trying to do it all alone.

Why Distance Is the Real Villain, Not Your Internet Connection

Here’s something that surprises a lot of people the first time they hear it: even with a perfect internet connection, unlimited bandwidth, and zero packet loss, a video call between two people on opposite sides of the planet will always have a baseline amount of delay that cannot be engineered away. It’s not a bug. It’s physics. Light travels through fiber optic cable at roughly two thirds the speed it travels through a vacuum, thanks to the refractive index of glass. That works out to be somewhere around two hundred thousand kilometers per second. Sounds incredibly fast, and it is, but the planet is a big place, and cables don’t run in perfectly straight lines. They follow the paths that undersea cable systems, terrestrial fiber routes, and regional internet exchanges happen to take, which are almost always longer than the straight-line distance between two points. Run the numbers on a signal traveling from, say, Mumbai to New York. The straight-line distance is around twelve thousand five hundred kilometers. Actual fiber routing pushes that closer to fifteen or sixteen thousand kilometers once your account for real cable paths. At roughly two hundred thousand kilometers per second, that’s about seventy-five to eighty milliseconds one way, just for the light itself to physically travel the distance. Double it for a round trip, since your video call needs data to go both ways, and you’re already at something like a hundred and fifty to a hundred and sixty milliseconds of pure propagation delay before a single router, encoder, or server does any actual work. Now stack real world processing on top of that: encoding time, decoding time, jitter buffering to smooth out network variability, and any queuing delay at a relay server. Suddenly a call that’s routed through one distant data center, on a route where the physical distance was already working against you, can easily creep past two hundred, two hundred fifty, even three hundred milliseconds of round-trip delay. That number matters more than it might seem. Human conversation has a natural rhythm to it. Researchers studying conversational turning have found that people start noticing something is “off” in a live exchange once round-trip delay crosses somewhere around one hundred fifty to two hundred milliseconds. Below that threshold, a conversation flows the way and in person one does. Above it, the tiny gaps where people naturally take turns speaking start to desynchronize. People begin talking over each other, not because they’re being rude, but because the delay has quietly broken the timing cues we all unconsciously rely on. Push much past three hundred milliseconds and a video call stop resembling a conversation altogether. It becomes something closer to two people taking turns making short speeches with each other, each one waiting an uncomfortably long beat before responding. This is the heart of why multi region video routing exists. If distance is the dominant source of delay on a long-haul international call, and it very often is, then the single most effective lever you have isn’t a better codec or a cleverer compression algorithm. It’s shortening the physical distance each participant’s data must travel before it reaches processing infrastructure. That’s an infrastructure decision, not a software tweak, and it’s exactly the problem multi region routing is built to solve.

The Building Blocks: What Sits Inside a Multi Region Network

It’s easy to say, “put servers in different places” and leave it there, but a well-built multi region video network has several distinct pieces working together, each solving a slightly different part of the problem.

Regional points of presence. These are the physical or virtual locations where your video infrastructure runs. A mature setup will have relay clusters in major population centers across each continent your users are concentrated in somewhere in North America, somewhere in Western Europe, somewhere in South or Southeast Asia, and depending on your user base, additional points in South America, the Middle East, Australia, or East Asia. The goal isn’t to cover every square mile of the planet. It’s to make sure most of your users are within a reasonably short hope of at least one regional node.
Smart routing logic. Having servers in multiple places does nothing on its own if the system doesn’t intelligently decide who connects to what. This is the layer that looks at a joining participant’s network location, measures latency to the available regional nodes, and assigns them to the fastest one available at that moment, not just the geographically nearest one on a map. Geographic proximity is a strong signal, but it isn’t the whole story. Sometimes the “nearest” data center on a map has worse actual network performance to a given user than one slightly farther away, because of how internet exchange points and backbone routes happen to be laid out. Good routing logic measures real network conditions, not just distance as the crow flies.
Inter region backbone connections. Once each participant is talking to their nearest regional relay, those relays need to talk to each other to stitch the call together. This is typically done over private, high-capacity backbone links between data centers rather than the public internet, because private backbone routes tend to be more direct, more predictable, and less prone to the congestion and unpredictable routing that public internet paths can suffer from, especially during peak hours or when undersea cables experience faults.
Selective Forwarding Unit architecture at each node. This one deserves its own section, and it gets one below, but it’s worth flagging here as a core building block. The relay software running at each regional node matters just as much as the region it’s located in. A relay that decodes, recompresses, and re-encodes every stream adds significant processing delay on top of whatever network delay already exists. A relay that simply forwards encoded packets without touching their contents adds almost none.
Continuous network telemetry. A multi region system worth its name doesn’t just make a routing decision once at the start of a call and forget about it. It keeps measuring round trip time, jitter, and packet loss throughout the session, because network conditions do change mid call. Someone’s home Wi-Fi might degrade. A regional data center might experience unusual loads. A specific internet exchange point might have a temporary issue. Systems that continuously monitor these signals can adapt, sometimes even reassigning a struggling connection to a healthier path without the user ever noticing anything happened beyond a moment of smoother video.

Put those five pieces together and you get something that behaves less like a single overworked server and more like a distributed, self-correcting network, one that’s actively working, every second of every call, to keep each participant’s leg of the journey as short and as clean as physically possible.

How the System Decides Where to Send You

It’s worth walking through what happens, step by step, in the few hundred milliseconds after someone clicks “join meeting,” because this is where a lot of real engineering work happens, invisibly, every single time. The moment a participant’s device attempts to connect, the system typically has a rough signal of their approximate location, often inferred from their IP address or from a quick round of latency probes to a handful of candidate regional nodes. It’s not trying to pinpoint exact GPS coordinates. It’s trying to answer a much narrower, much more useful question: of the regional relays currently available, which one can this specific device reaches with the lowest round trip time right now? This is an important nuance. Naive systems sometimes assume geography maps cleanly onto network performance, that someone in Nairobi will always get the best latency from a relay in, say, Cape Town simply because it’s the closest node on a map. In practice, actual internet routing doesn’t always follow geographic straight lines. Sometimes traffic from one region does route more efficiently through an internet exchange point in a different, seemingly farther away region, because of how peering agreements and backbone infrastructure happen to be arranged. A well-designed routing layer measures actual, real time network performance to each candidate node rather than assuming distance on a map is the whole story. Once a participant is connected to their chosen regional relay, that relay becomes their entry point for the rest of the call. Their outgoing audio and video travel that short local hop to the regional node. From there, if other participants are in the same region, their streams can be forwarded directly with minimal additional delay. If other participants are in different regions, the regional relays exchange the necessary streams over their private backbone connections, and each remote participant receives the incoming stream from their own local regional relay rather than reaching all the way back across the ocean themselves. The elegant part of this design is that no individual participant ever must personally “pay” the full cross-continental-distance cost. That cost gets absorbed once, on the backbone connection between two well provisioned data centers, rather than being paid individually and repeatedly by every single participant’s home internet connection trying to reach a distant server directly. And this process doesn’t stop once the call starts. Good multi region systems keep quietly measuring performance in the background. If a participant’s connection to their assigned relay starts showing signs of trouble, rising jitter, increasing packet loss, unusually high round trip time, the system can, depending on how it’s built, adjust in ways that minimize the impact, whether that’s adjusting encoding parameters, prioritizing certain streams, or in more sophisticated setups, considering a handoff to a healthier path. None of this requires the user to do anything or even notice it’s happening. It should just feel like the call is staying smooth.

What Changes for the People in the Meeting

All this infrastructure talk is interesting from an engineering standpoint, but the real test is simple: does the meeting feel different? In a single region setup with participants spread across several continents, the experience tends to have a distinctive, recognizable texture. There’s a persistent, low-level lag that makes interruptions feel clumsy. People develop an unconscious habit of pausing noticeably longer before responding, almost as if bracing for the possibility that the other person hasn’t finished. Video can feel slightly out of sync with audio, particularly for participants on the far end of the routing path. Screen sharing, which is more bandwidth intensive and more sensitive to jitter, often degrades first and most visibly, with the shared screen updating in noticeably delayed, sometimes blurry steps rather than smoothly. Perhaps most tellingly, in a laggy global call, certain participants become the de facto quiet ones. Not because they have less money to contribute, but because the mechanics of the delay make it harder for them to find a clean opening to jump in. Over the course of many meetings, this can quietly and unfairly skew whose voice gets heard in a globally distributed team, simply as an artifact of whoever happens to be geographically closest to wherever the infrastructure lives. In a well-built multi region setup, that texture largely disappears. Participants across different continents experience round trip delay much closer to what someone on a same country call would experience, because each of them is really only “traveling” the short distance to their nearest regional relay, with the longer haul portion of the trip handled efficiently between well connected data centers rather than end user connections. Interruptions land naturally. Turning makes it feel normal. Screen sharing stays crisp. And crucially, the quality of someone’s experience in the meeting stops being so strongly correlated with how far they happen to live from company headquarters. This matters more than it might initially seem, especially for organizations that operate as distributed teams rather than headquarters with satellite offices. A hiring manager in Toronto interviewing a candidate in Manila, a support team in the Philippines handling a live escalation with an enterprise customer in Amsterdam, a tutor in Delhi teaching a live class to students spread across six countries, none of these interactions should feel structurally disadvantaged by geography. Multi region routing is one of the quiet infrastructure decisions that makes that possible.

Why SFU Architecture Matters Just as Much as Region Placement

It’s worth being precise here, because placing servers in the right regions solves only part of the puzzle. The software architecture running on those regional relays matters enormously too, and this is where the concept of a Selective Forwarding Unit, usually shortened to SFU, becomes relevant. When more than two people are on a call, something must manage the fact that everyone needs to both send their own video and receive everyone else’s. There are a few different architectural approaches to handling this, and they have very different implications for latency. One older approach uses a central server that receives everyone’s stream, decodes each one, digitally composites them together into a single combined video, and re-encodes that composite before sending it back out to everyone. This approach, often called a Multipoint Control Unit, does reduce the bandwidth burden on individual participants, but it comes at a real latency cost, because decoding and re-encoding video takes genuine processing time, often adding fifty to well over a hundred milliseconds on its own, on top of whatever network delay already exists. The alternative, and the approach that modern, latency conscious platforms overwhelmingly favor, is the Selective Forwarding Unit. An SFU receives each participant’s already encoded stream and, instead of decoding and recompositing anything, simply inspects the packet headers and forwards the relevant encoded streams to whichever other participants need them. No decoding, no recompositing, no re-encoding. Just intelligent, low overhead routing of already compressed data. The processing delay this adds is typically just a few milliseconds, dramatically less than the compositing approach. Here’s why this matters specifically in the context of multi region routing: a network of regional relays only delivers its full latency benefit if the software running at each node is also efficient. Placing an MCU style server with heavy transcoding overhead in every region still leaves you with meaningfully more delay at each node than placing lean SFU style relays would. The two decisions, where your infrastructure physically sits and how efficiently it processes media once it gets there, work together. Get one right and not the other, and you’ll still end up with a call that feels sluggish, just for a different reason. This is also where simulcast comes into the picture, and it’s worth understanding briefly because it interacts directly with multi region routing. In a group call, participants inevitably have varying bandwidth and varying device capabilities. Without simulcast, a naive SFU would have to send every participant the exact same quality stream, forcing the whole call down to whatever the weakest connection in the room can handle. With simulcast enabled, each sender publishes several quality versions of their video simultaneously, say a low, medium, and high-resolution layer, and the SFU dynamically picks the appropriate layer to forward to each individual receiver based on their specific bandwidth and screen size at that moment, all without adding any transcoding delay. Combine simulcast with regionally distributed SFUs, and you get a system that’s both fast and adaptable, delivering the best possible quality to each participant given both their geographic distance and their actual network conditions.

When Someone’s Physical Location Changes Mid Call

Global teams don’t just call from fixed offices. People join meetings from airports, from hotel Wi-Fi in a different country than they woke up in that morning, from a train with a mobile hotspot that occasionally drops. A multi region routing system that only makes its routing decision once, at the very start of a call, and never revisits it, misses a meaningful chunk of real-world usage. Good systems account for this in a few ways. Some periodically re-evaluate the routing assignment during longer meetings, particularly if a participant’s measured latency to their assigned relay starts to degrade noticeably, perhaps because their mobile connection has handed off to a different cell tower, or because they’ve physically moved to a location served better by a different regional node. Others handle it more passively, relying on continuous, fine grained congestion control and jitter buffering to smooth out the rough patches without needing a full re-routing event, since switching a participant’s connection mid call to a different relay is a nontrivial operation that has to be handled carefully to avoid a visible glitch. There’s also the more mundane but very common case of someone dialing in from a location their organization didn’t originally plan for. A sales rep who normally works from a São Paulo office might be calling from a client site in Lisbon for a week. A well-built multi region system doesn’t need to know any of this in advance. It simply measures where the connection is coming from in real time and routes accordingly, which is exactly the point. The system shouldn’t require manual configuration every time someone travels. It should just quietly, automatically, keep finding the best available path.

The Tension Between Multi Region Routing and Data Residency

Here’s where things get more complicated, and where it’s worth being honest rather than glossing over a real tradeoff. Multi region video routing, at its core, is about distributing infrastructure across geography to reduce distance related latency. Data residency and sovereignty requirements, which many regulated industries and government bodies increasingly demand, are about ensuring that certain categories of data never leave a specific jurisdiction, or that they’re processed only by infrastructure physically located within defined borders, often for legal, regulatory, or national security reasons. These two goals aren’t inherently opposed, but they do create real design questions that a serious platform has to think through carefully rather than paper over with marketing language. If your organization has a strict requirement that meeting data for a particular team or use case must never be processed outside a specific country’s borders, a naive multi region setup, one that simply routes everyone to whatever relay happens to be geographically closest for latency purposes, could inadvertently violate that requirement. A participant joining from a neighboring country might get routed through a relay across the border for pure speed reasons, and suddenly their media has technically passed through infrastructure outside the mandated jurisdiction, even briefly. The honest answer here is that a well-designed system needs to support both goals as distinct, configurable capabilities rather than assuming one automatically satisfies the other. That typically means giving organizations the ability to pin certain meetings, certain teams, or certain data categories to specific regions explicitly, overriding the default “always pick the fastest available relay” logic when residency requirements demand it. It means being transparent about exactly which regions a given deployment can route through, and giving administrators real visibility and real control, not just a vague assurance that “your data stays close to you.” It’s also worth noting that end to end encryption, when implemented, changes this equation somewhat, because if media is encrypted in a way that even the relay infrastructure itself cannot decrypt, the question of which physical server the encrypted packets happen to pass through becomes less consequential from a confidentiality standpoint, even though it can still matter for pure regulatory or contractual reasons around data location. These are related but distinct concerns, and any platform worth trusting with sensitive global meetings should be able to clearly explain the difference rather than conflating “your call was fast” with “your call satisfied your compliance requirements.”

Common Mistakes Organizations Make Around Global Meeting Infrastructure

Having looked at what a well-built system does, it’s worth spending some time on where things typically go wrong, because the mistakes here are common and often invisible until they cause a painful meeting.

Assuming a single, well provisioned data center is “enough.” A team might reasonably think that if their one data center has plenty of bandwidth, plenty of compute, and a solid uptime record, distance shouldn’t matter much. But provisioning solves capacity problems. It does nothing for propagation delay, which is a function of physical distance and the speed of light in fiber, not server capacity. No amount of extra CPU in a single Virginia data center will shorten the physical distance between Manila and that data center.
Confusing “cloud provider has global regions” with “our video calls use them intelligently.” Plenty of platforms are technically hosted on cloud infrastructure that has data centers all over the world, but that doesn’t automatically mean their video routing logic is smart enough to assign participants to the nearest available one for a given call. Global cloud presence and global aware routing logic are two different things, and it’s worth asking a vendor directly which one they have.
Under-provisioning TURN relay capacity. For participants on strict corporate networks or behind certain kinds of NAT, direct peer connections aren’t possible, and traffic must be relayed through a TURN server. If an organization’s regional strategy covers the main SFU relays but neglects to place adequate TURN infrastructure in the same regions, users on restrictive networks can end up routed through a distant TURN relay even when the rest of the system is regionally optimized, quietly undermining the whole effort for exactly the users who needed it most.
Treating global infrastructure as a one-time setup rather than an ongoing operational responsibility. Network conditions between regions change over time. Backbone routes get upgraded or occasionally degrade. New population centers of users emerge as a company grows into new markets. A multi region strategy that was well designed two years ago can quietly become outdated if nobody is continuously monitoring real world call telemetry and adjusting regional capacity or routing logic accordingly.
Not testing with real, representative geographic diversity. It’s remarkably common for teams to test their video infrastructure primarily from their own office, or from wherever most of their engineering team happens to sit and assume performance elsewhere will be roughly similar. It usually isn’t. Real testing means placing test devices, or at minimum using network simulation tools, across the actual geographic spread of your real user base, including the less obvious regions that might not be top of mind during initial design.

What to Ask When Evaluating a Platform’s Global Performance Claims

If you’re responsible for choosing video conferencing infrastructure for a distributed team, “do you support global users” is not a useful question, because the answer will always be yes. Everyone’s marketing page says yes. The more useful questions dig into specifics.

Ask which specific regions the platform operates relay infrastructure in, not which cloud provider they use in general terms, but which specific geographic points of presence handle live media traffic. A platform that can name actual regions, South Asia, Southeast Asia, Western Europe, North America, and so on, is telling you something concrete. A platform that answers with “we’re built on a major cloud provider so we’re everywhere” is often dodging the actual question.
Ask how routing decisions get made, specifically whether the system measures real time network performance to determine the best relay for each participant, or whether it makes a simpler, less adaptive assumption based purely on account settings or a static geographic default. The difference between the two matters is a great deal in practice, particularly for users on less common network paths.
Ask whether the underlying architecture is SFU based, and specifically whether server-side processing involves any decoding and re-encoding of media, since that distinction, as covered earlier, can add tens to well over a hundred milliseconds on its own, regardless of how well placed the regional infrastructure is.
Ask what happens during a live call if network conditions change, whether for an individual participant or for an entire region. Does the system just degrade quality quietly, or does it have any capacity to adapt more intelligently, and how transparent is that process to an end user or an administrator trying to understand why a particular call had trouble.

And if data residency or sovereignty requirements matter to your organization, ask the harder, more specific question directly: can specific teams, meeting types, or data categories be pinned to a defined jurisdiction, with real administrative control and visibility, rather than a general assurance that data “stays close to home” as a side effect of normal latency optimized routing. A platform that can answer these questions specifically, with real technical detail rather than reassuring but vague language, is far more likely to have built the thing rather than simply claimed to.

A Realistic Walkthrough: The Same Meeting, Two Different Architectures

It helps to close the loop by returning to that Tuesday morning meeting from the beginning of this piece and imagining it running on two different kinds of infrastructure. On a single region setup, with the relay server sitting in, say, North America, the Bengaluru participant’s every word and every frame of video has to travel the full distance to North America and back before anyone else hears or sees it, and the São Paulo participant faces a similar, though shorter, journey. The Berlin participant, being relatively close to a North American data center in internet terms, fares somewhat better, and the San Francisco founder, being nearly local to the server, experiences almost no added delay at all. This creates an uneven meeting: some participants experience something close to a normal conversation, while others are working against two hundred milliseconds of round-trip delay without anyone else in the meeting necessarily realizing why the conversation keeps feeling slightly stilted for certain voices and not others. On a properly built multi region setup, the Bengaluru participant connects to a relay in South Asia, the Berlin participant connects to a relay in Europe, the São Paulo participant connects to South American infrastructure if it’s available or the nearest well-connected alternative if not, and the San Francisco founder connects to North American infrastructure. Each of those legs individually involves relatively short distances. The regional relays then exchange the necessary streams between each other over efficient backbone connections, absorbing the long-haul portion of the journey in infrastructure specifically built to handle it well, rather than in each individual participant’s home connection. The practical result is that all four participants experience something much closer to a consistent, low delayed conversation, rather than three of them silently struggling while a fourth, simply by accident of geography, has a smooth experience the whole time. Nobody in that second version of the meeting thinks about routing, regions, SFUs, or fiber optic propagation delay. That’s exactly the point. Good infrastructure is infrastructure nobody must think about, because it’s quietly doing its job in the background, letting the actual conversation, the design review, the sales call, the class, the deal negotiation, be about the conversation itself rather than a fight against physics.

The Bottom Line

Global meeting lag isn’t a mystery, and it isn’t something users just have to tolerate as an inevitable cost of working across time zones. Most of the delay people experience on long haul international calls trace back to a simple, fixable architectural decision: whether an organization’s video infrastructure lives in one distant place or is distributed across the regions where its actual users are, with smart, continuously adaptive routing deciding who connects where. Multi region video routing solves the physics problem that no codec improvement or clever compression algorithm alone can fully solve: the simple fact that light in fiber optic cable takes real, measurable time to cross real, measurable distances. It shortens the distance each individual participant’s connection must travel by giving them a nearby relay to connect to, and it handles the long-haul portion of the journey between well connected data centers designed specifically for that job. But region placement alone isn’t the whole story. It has to be paired with efficient, SFU based media routing that avoids unnecessary server side processing delay, with simulcast to gracefully handle varying participant bandwidth, with continuous real time network monitoring that can adapt as conditions change mid call, and, for organizations with real compliance requirements, with genuine administrative control over where sensitive data can and cannot be routed, not just a vague marketing promise. Get all of that right, and the payoff isn’t some abstract latency benchmark buried in an engineering dashboard. It’s a meeting where a tutor in one country and a class of students spread across six others can have a real time conversation, where a distributed sales team can close a deal without half the room quietly struggling to find their moment to speak, and where geography stops quietly deciding whose voice gets heard clearly in a global team.

Infrastructure & Performance — How WebRTC Powers Low Latency Video Conferencing in Private Cloud Architectures: A practical, engineering level guide to how WebRTC delivers low latency video calls and what it takes to run that stack without the lag.
Compliance — Data Sovereignty in Video Conferencing: Keeping Enterprise Meeting Data Within Your Borders: How enterprise IT leaders enforce strict regional data boundaries and eliminate foreign jurisdictional exposure.
Cryptography — Per Frame Media Encryption, Explained: How per frame media encryption uses WebRTC insertable streams to keep a relay in the dark about the content it’s forwarding.

Run your next global meeting the way it should feel: close, clear, and fast, no matter where everyone is calling from.