With hybrid deployment, you get the best of both worlds: low-latency security for on-prem applications and the scalability and reach of AWS, Azure, and GCP. Policies are enforced consistently across both environments, ensuring compliance and control without slowing innovation..
schedule A DEMOEnforce the same tokenization, masking, and encryption policies across on-prem and cloud – no silos, no blind spots.
Keep data in-region or on-prem where regulations require, while still using cloud services for analytics, AI, and storage.
Protect sensitive data right inside your data center, ensuring performance for legacy or latency-sensitive workloads.

Expand capacity instantly in AWS, Azure, or GCP without compromising on governance or visibility.
Place DataStealth between apps, services, or users to tokenize or mask fields in real time.

Enforce field-level protection on SQL or NoSQL traffic across on-prem and cloud databases.
Run as a sidecar or in a service mesh to enforce per-service policies across hybrid architectures.
Protect data at scale in pipelines, lakes, and streams – on-prem or cloud – with consistent classification and remediation.

Manage all policies from a single control plane while enforcing locally across clouds and data centers.
Active-active deployments across cloud regions and data centers ensure zero downtime protection.


Policies are managed as code with approvals, rollbacks, and versioning for safe enforcement across environments.
Export logs to your SIEM for full traceability and compliance reporting across both sides of your hybrid stack.

Apply consistent policies at gateways, proxies, or service meshes for HTTP, REST, gRPC, and GraphQL.

Protect fields in RDS, Snowflake, BigQuery, SQL Server, Oracle, and more – on-prem or in the cloud.
Secure CIFS, NFS, and S3-compatible targets, whether hosted in your data center or cloud.
Scrub sensitive data from logs, traces, and tickets before they leave your systems.
Bridge legacy systems with cloud-native services, ensuring both stay compliant without rewrites.

In just 30 minutes, you’ll see how DataStealth unifies on-prem and cloud data protection, and leave with a clear roadmap for securing your hybrid environment.
Hybrid cloud security is the practice of applying consistent protection, governance, and compliance controls across workloads spanning both on-premises data centres and public cloud infrastructure (AWS, Azure, GCP).
The challenge is that most organizations run sensitive workloads in both environments simultaneously — legacy databases and mainframes remain on-premise while analytics, SaaS integrations, and newer applications run in the cloud.
Without a unified data protection layer, security teams end up managing separate tools with separate policies for each environment, creating gaps where sensitive data moves between them unprotected.
DataStealth eliminates this gap by enforcing the same tokenization, masking, and encryption policies across a single platform, regardless of whether data resides in an on-premises Oracle database or an AWS RDS instance.
DataStealth uses a centralized policy engine that distributes and enforces rules across all deployment locations — i.e., on-premises data centres, cloud VPCs, and edge locations.
Policies are managed as code with versioning, approval gates, and rollback capabilities, ensuring that a tokenization rule applied to cardholder data in your data centre is identically enforced when that data flows to a cloud warehouse.
The data discovery and classification engines run locally in each environment, so sensitive data never needs to leave its boundary for analysis.
This architecture means that adding a new cloud region or decommissioning an on-premises system does not require rebuilding your protection posture — policies automatically follow the data. For technical details on this approach, see The Ultimate Guide to Data Security Platforms.
Data residency regulations — including GDPR, Canada's PIPEDA, and sector-specific rules in financial services, healthcare, and insurance — require that certain data categories remain within specific jurisdictions.
Hybrid deployment supports this by keeping regulated data on-premise where mandated, while still enabling cloud analytics on tokenized or masked copies that contain no exploitable sensitive values.
DataStealth's policy framework scopes protection rules per region, tenant, or data classification level, so cross-border data transfer compliance is enforced automatically.
PCI DSS and HIPAA audit scope is reduced because cloud systems that only process tokens are removed from the compliance boundary.
For a detailed compliance walkthrough, see the Cloud Security Compliance Checklist.
Hybrid cloud data security addresses the split between on-premise and cloud — protecting data as it moves between your data centre and one or more cloud providers.
Multi-cloud security addresses environments that span multiple cloud providers (e.g., AWS and Azure simultaneously) without necessarily including on-premise infrastructure. In practice, most enterprise environments are both hybrid and multi-cloud — sensitive data lives on-premise, in AWS, in Azure, and in SaaS applications, all at once.
DataStealth supports both models from a single platform, enforcing consistent data-centric security policies regardless of where data resides. Cloud-specific guidance is available in the AWS, Azure, and GCP security guides.