You already know where your sensitive data is. Here's how to enforce a perimeter around it.

Cyera classifies the regulated data sitting across your cloud: the buckets, the datastores, the copies nobody remembered making. That map is one of the most useful things a security team can have. It's also just a map. Knowing that a datastore holds regulated customer records doesn't stop anything from reaching it.

That's the gap this integration closes, and it's as much a gap between teams as a gap in tooling. The people who use Cyera to classify data are often not the people who use Native to enforce controls on it. Cyera finds the data; Native turns each classification into an enforced perimeter, deployed through the controls the cloud providers already ship across AWS, Azure, Google Cloud, and OCI. What one team detects, the other enforces.

Classification is a fact. It isn't a control.

Discovery is close to a solved problem. Data security teams can point to where the crown-jewel data lives, which stores are regulated, and roughly who can touch them. Classification at that level is close to table stakes now.

But the team that classifies the data usually isn't the team that enforces controls on it. The classification lands in a queue, and someone on the cloud or platform side has to translate "this store holds regulated data" into an actual boundary: nothing outside the payments zone can reach it, no path from the public internet, no new copy quietly created in a region with looser rules. That boundary has to be built per cloud, tested against systems already running, and kept in step with data that won't hold still. Sensitive data gets copied, replicated, and migrated into new accounts and regions, and every time it moves, the boundary has to move with it. A perimeter drawn by hand is a snapshot: accurate the day it ships, drifting out of alignment as soon as the estate changes, so the store a team thinks it protected is often no longer the one that holds the data. The controls that end up in place are both late and pointed at the wrong resource.

What the integration actually does

When Cyera classifies a datastore, Native ingests that finding, matches it to the resource in your multi-cloud inventory using the cloud account ID and datastore UID, and tags the object with its classification and severity. Native's policy engine reads those tags and activates the control set for the zone that the data lives in. The controls are deployed via cloud-native enforcement APIs across AWS, Azure, Google Cloud, and OCI: encryption at rest, customer-managed keys, TLS enforcement, blocking anonymous and public access, restricting destructive operations, and audit logging. You define once what sensitive data requires. Cyera decides which data qualifies. You don't hand-write controls per store or per cloud.

Security teams using Cyera and Native get a concrete outcome: accounts holding sensitive data can't be exposed to the internet, and AI can't train on that data. And because that same control set maps to the encryption, access, and logging requirements in the major compliance frameworks, every store Cyera flags stays audit-ready rather than waiting on manual work to catch up.

Two things make this hold up in a real environment, and they're the parts a single-cloud or detect-and-ticket tool can't do.

Native evaluates the impact before it enforces. Before a guardrail goes live, Native evaluates its real-world impact on the resources that depend on it, so controls apply to production without unplanned downtime. Restricting a public storage bucket that's quietly serving production traffic is exactly the kind of change that gets caught before it ships, rather than after it takes something down.

You define it once and enforce it everywhere, and it holds the same way in each: one policy definition, four clouds. The control set you define for sensitive data applies across AWS, Azure, Google Cloud, and OCI through each provider's own enforcement APIs. No per-cloud rewrite, no four separate policy languages to keep in sync. As Cyera's findings evolve, Native re-ingests them and adjusts the active controls on the next sync, so enforcement keeps pace with the data.

What this looks like in practice

Take a public S3 bucket that Cyera classifies as holding Critical data: PII, financial, credentials, and health records. That bucket also serves a production application, so cutting off public access carelessly could take the application down. Native ingests the classification, matches the bucket to your inventory by cloud account ID and datastore UID, and tags it. Before any control ships, Native evaluates the impact on everything that depends on the bucket, so the team can see exactly what public access is doing and close the boundary without breaking what's running. Native then deploys the control set through cloud-native APIs: encryption at rest, customer-managed keys, TLS, blocked anonymous and public access, restricted destructive operations, and audit logging. The same path covers managed databases and analytics services across AWS, Azure, Google Cloud, and OCI. When Cyera updates or adds a classification, Native adjusts the active controls to match. Cyera moves the data from unknown to classified. Native moves it from classified to enforced.

From classified to enforced

Every classified store is a boundary you've decided should exist. What matters is how long it takes for that decision to become something your cloud actually enforces, and whether you trust the change enough to ship it without breaking what's running.

To see it in your own environment, Native takes a live Cyera classification, evaluates the impact on your real cloud, and shows exactly what would be enforced and what it would affect before anything changes. Talk to us to get a demo.

About Cyera:
Cyera is the AI Security Platform built for the age of agents, giving enterprises complete visibility and control over everything their AI touches. Protect your data. Secure AI.

About Native:
Native turns your built-in cloud security controls into active, operational defenses across AWS, Azure, Google Cloud, and OCI. The foundation of active defense is architecture: perimeters, segmentation, and baselines. The building blocks are already in your cloud. Native is how you operate them.