How Alpina Digital Shielded Its AI From Russia's Data Law

# Hybrid AI architecture: using the cloud while staying within the law

88% of companies already use artificial intelligence. But only 1% have reached real maturity in how they apply it. One of the biggest obstacles is Russia's personal data law (152-FZ), which bans transferring sensitive information to foreign clouds without users' consent.

Three paths, three trade-offs

When companies need the power of modern AI but local models fall short, they usually pick one of three paths.

The first option is a fully foreign API gateway. It's fast and cheap, but legally risky. Data leaves for the cloud, and the law notices.

The second option is local models only. Full security, full responsibility. It's expensive and slow, and it requires your own servers and the people to maintain them.

The third option is a hybrid architecture. This is where Alpina Digital found the middle ground: structured queries go to cloud AI, while work with personal data stays in-house on local models. The cloud handles what it can; local infrastructure protects what it must.

How it works

The system is simple: a client sends a request, and the gateway checks whether it contains sensitive data. If it doesn't, the request can go to a foreign API. If it does, it stays at home and a local model processes it. That way the company gets both the speed of the cloud and the reliability of local infrastructure.

There's a catch, though: you also need the organizational side. Training people, policies, audits. AI security isn't just about architecture.

Visible results

After 9 months of deployment, the development cycle shrank from 2 months to one week. Data processing costs fell from $800 thousand to $100 thousand a year. The clients are large Russian companies that the law doesn't allow to take risks with the cloud.

This isn't a revolution; it's an evolution. AI is becoming not a universal solution but a tool that fits within existing constraints and makes the work more practical.