Ever since ChatGPT launched in late 2022, enterprise software procurement has structurally shifted. Security teams that once sat at the back of the process now gate purchasing decisions with decisive power. Data-sensitive systems built on centralized architectures are increasingly getting blocked at the CISO's desk.
This isn't slowing down. Every application now handles more sensitive data than it did a year ago, as LLMs lowered the barrier to incorporating unstructured information into practical workflows—expanding the surface area of sensitive data exposure. The same language models also reduce the cost of exploitation. The time required to operationalize a CVE compressed from weeks to hours.
On-prem / self-hosted deployments were supposed to be the solution. In practice, they introduce an untenable set of constraints — months to get a customer live, cloud/Kubernetes hell, a dedicated engineer to keep it running, and no way to push patches without involving the customer's operations team. That reputation exists for a reason.
BYOC — Bring Your Own Cloud — emerged instead. Your software runs in the customer's cloud, while preserving your control over the release cycle. It works when it's done right. Getting there is the hard part.
What BYOC actually means
Your software runs inside your customer's cloud account instead of yours. They provide the infrastructure — their AWS, Azure, or GCP account — and you deploy and manage the application within it.
You already know the two models on either side of it. SaaS: you host everything, customer data comes to you. Simple, until a customer with a security team tells you that's not happening. On-prem: you ship them Docker images and Helm charts and lose control. You don't know what version they're running. You can't push a patch. If something breaks at 2am, you're waiting for their ops team to wake up.
BYOC sits between the two. Your app runs in their cloud, so their security team signs off. But you still own the release cycle. You push updates, you monitor health, you roll back when something breaks. Their data never crosses the boundary. You never SSH into their boxes.
Why enterprises keep asking for it
When a multi-tenant SaaS vendor gets breached, every customer on that platform is exposed at once. And this keeps happening. Third party vendor compromises are 14% of all breaches now. Average cost in the US: $10.22 million.
Then there's compliance. HIPAA, SOC 2, FedRAMP, GDPR, DORA — the acronyms keep multiplying but they all come down to roughly the same thing: keep sensitive data inside the customer's boundary. With BYOC that's just how it works. The data never leaves.
There's also a financial argument. If you're a product that move a lot of data — like ClickHouse, Grafana, or Databricks — your enterprise customers are paying enormous egress fees. Deploy in their cloud and that egress bill goes to zero. And for compute heavy products, enterprises can instead spend against their existing cloud commit.
Why isn't everyone doing BYOC then?
It's hard. We spent years on this problem at Palantir, building the deployment platform that manages over 300 environments spread across AWS, GCP, Azure, and bare metal on-prem.
Traditional SaaS lets you manage one environment with one set of tools. BYOC means you're managing dozens or hundreds of isolated environments, each in a different cloud account with different network configurations and security policies. Provisioning alone is painful: spinning up Kubernetes clusters, databases, networking, and IAM roles inside cloud accounts you don't control. What works in one account might fail in another because of a service quota or org level policy you didn't know existed.
Updates are worse. You push whenever you want in SaaS, but with BYOC you're coordinating releases across environments that might each be on a different version. Rolling back one customer without touching the others takes more orchestration than most teams expect. And then you need to debug issues in environments you can't SSH into, using monitoring tools that assume you own the infrastructure.
Even the first BYOC deployment is a project. Before you can put anything in a customer's cloud, you need production-grade Helm charts, Terraform modules for their provider, Docker images built for their architecture, and IAM policies that satisfy their security team. Most of this didn't exist in your SaaS stack because you never needed it. Now you're building deployment infrastructure from scratch while also trying to ship product. By the second customer, you're spending engineering time maintaining those stacks alongside the customer.
By the third or fourth, you've got multiple versions of your product in flight and everything gets worse at once. Which customer is on which version? Why is this one throwing errors the others aren't? You can't easily pull telemetry from systems you don't own, so debugging turns into archaeology. Every stack starts feeling like a snowflake. You've probably deployed across multiple cloud providers by now too, which is its own problem.
By ten it's consuming a serious chunk of your engineering resources. You only get to a hundred if you've figured out how to automate the deployment factory.
This is why so many vendors either refuse BYOC deals or charge a huge premium and throw bodies at the problem.
How it works in practice
The architecture is simpler than you'd expect. You run a management plane on your side. It doesn't touch customer data. All it does is decide what goes where. Which customer gets which version, when to push an update.
Inside each customer's cloud there's a lightweight control plane that picks up those decisions and executes them. Deploys Helm charts, runs Terraform, rotates secrets, reports back on health. All communication is outbound. The control plane calls home to you. You never reach into their environment. No open ports, no VPN tunnels, no standing credentials.
Getting a new customer on takes minutes. They run a provisioning template in their cloud account, it spins up a cluster with the control plane installed, and it connects back. That's the whole onboarding.
When you actually need it
Not every product needs this. If you're selling a project management tool to 50-person startups, SaaS is fine and you should stick with it.
But if your customers handle healthcare records, financial transactions, classified information, or PII, and they can't let that data leave their environment, BYOC is the way to do it. Security teams with veto power over vendor selection will actually talk to you instead of just saying no. Prospects who keep asking for self-hosted get a yes without the operational nightmare. And these customers routinely pay multiples of the standard SaaS price. They're paying for control and compliance, and they expect to.
Build or buy
If you build it yourself, the list is long. Terraform modules for every cloud. A control plane. A management plane. Observability that works across environments you don't own. An upgrade system that doesn't break when one customer is three versions behind another. Some teams pull this off, but it usually takes 3 to 5 engineers for most of a year, and then someone has to maintain it. That might make sense if BYOC is your core product. If it's a delivery mechanism for your actual product, that's a lot of engineering going somewhere other than your core competency.
Or you use a platform that's already solved this. You hand it your Helm charts, Terraform modules, Docker images, or just point it at the code in your repo, tell it how things should be deployed, and it does the rest, across AWS, GCP, Azure, wherever your customers are.
How to tell if a BYOC implementation is any good
After seeing enough of these you start to notice what separates the ones that work. Onboarding speed is the first tell. If it takes days to get a customer live, the architecture is probably wrong. After that it's mostly security questions. Do you hold persistent credentials to their cloud? Can you update one customer without touching the others? Does any data leave their VPC? Is every action logged? Buyers who want BYOC know to ask all of these. Get one wrong and they walk.
What happens next
Ten years ago the security question around SaaS was mostly theoretical. The industry was moving to the cloud and nobody worried much about where data lived. That changed. Breaches got bigger and more frequent. The attack surface of a centralized multi-tenant system grows every year. We built Ryvn because we think that trend doesn't reverse.
Something changed in the last year. Someone finds a CVE, feeds it to an LLM, and has a working exploit by the end of the day. That used to take a specialist weeks. The security teams on the other side of your deals have noticed, even if most vendors haven't.
There's a second LLM effect that matters more for BYOC. A year ago most of the unstructured data in your customers' environments — documents, conversations, logs, support tickets — just sat there. Now you can actually do something with it. Feed it into your product against your business logic and the thing gets dramatically more useful. Every vendor is going to build those integrations. It's too obvious not to.
Which means you're pulling in more of your customer's data than ever. At some point they're going to look at that and say, just run the software over here. For a lot of industries that's already happening.
Software is going to move to where data already lives, and BYOC is how.