Native Vendor Controls Challenge Cyera
Cyera
This risk is really about control of the last mile. If Microsoft, AWS, and Snowflake can not only find sensitive data but also classify it, mask it, decide who can touch it, and police AI agents inside their own platforms, then Cyera is less the system of action and more the system that adds better context across clouds. That usually means lower pricing power, because customers can accept native tools when most of their data already sits inside one vendor stack.
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Microsoft is moving in this direction fast. Purview now bundles data security posture management with broader governance and AI protections, and its DSPM for AI is built to cover Microsoft 365, Azure, Fabric, and connected SaaS. In practice, that lets a Microsoft heavy customer stay inside one console for discovery, protection, and investigation.
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Snowflake is also absorbing more of the workflow. Its governance stack already includes sensitive data classification, tag based masking, row access controls, and lineage, and Cortex adds native AI roles and controls. Cyera is responding by wiring its discovery into Snowflake native masking and least privilege controls, which is useful, but it also shows where enforcement may increasingly live.
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AWS is the clearest example of the limit of native coverage. Macie gives customers automatic sensitive data discovery and bucket level exposure checks for S3, but it is still centered on AWS storage. That leaves room for Cyera when a company needs one inventory and policy layer across AWS, Microsoft, Snowflake, SaaS apps, and external databases.
The likely endpoint is a split market. Native tools will win more single platform accounts, while Cyera will be strongest where data is scattered, AI agents span multiple systems, and security teams need one map of what data exists and where risk sits. To keep expanding, Cyera has to remain the best cross platform brain, not just another dashboard on top of hyperscaler controls.