Wherever your workloads run, DataStealth ensures tokenization, masking, and encryption happen close to the data – with no impact on app performance and no code rewrites.
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Deploy in your own AWS, Azure, or GCP accounts and meet residency requirements across regions and jurisdictions.
Place DataStealth in the same VPC/VNet as your apps and data, keeping protection local and transparent.
Retain full ownership of your keys through AWS KMS, Azure Key Vault, GCP KMS, or on-prem HSMs – supporting BYOK and HYOK.
Dynamic masking tailors data visibility by role, so BI tools and dashboards empower decision-making without risking oversharing sensitive values.
Sensitive data is neutralized at the first point of entry, so raw PII or PCI data never reaches your services – eliminating exposure from the start.
By encrypting or tokenizing fields before storage, managed databases (RDS, DynamoDB, Snowflake, etc.) only ever hold safe values – reducing compliance scope and breach liability.
ETL and streaming jobs discover and protect sensitive data as it flows, ensuring warehouses and lakes remain compliant while still fueling analytics, AI, and reporting.
Deploy DataStealth in AWS, Azure, or GCP using VMs, containers, or Kubernetes – always inside your own accounts for full control and data residency.
Enforce policies locally across regions and clouds while managing governance centrally, ensuring consistent protection everywhere you operate.
Extend protection to API gateways, service meshes, and serverless workloads with lightweight workers that secure data without adding overhead.
Embed tokenization, masking, or encryption directly into applications, making it simple to secure sensitive fields on demand.
Multi-AZ clusters keep your protections always available, ensuring uptime and resilience across regions and accounts.
Stateless brokers and autoscaling workers adapt instantly to traffic spikes and new workloads without manual tuning.
Policies are treated as code – versioned, approval-gated, and rollback-ready – so enforcement stays safe and consistent across dev, test, and production.
Parallel fragment retrieval and cached policy decisions minimize latency, delivering enterprise-grade security without slowing your apps or driving up costs.
Apply masking or tokenization at gateways, proxies, or service meshes for HTTP, REST, gRPC, and GraphQL.
Protect fields across RDS, Aurora, Cloud SQL, Spanner, Cosmos DB, DynamoDB, BigQuery, Redshift, and Snowflake.
Secure S3, Azure Blob, GCS, and lakehouses with batch or streaming discovery, classification, and remediation.
Keep sensitive fields safe in transit and at rest by integrating with Kafka, Kinesis, Pub/Sub, and queue services inline or via workers.
Scrub secrets from logs, traces, tickets, and error payloads before they ever leave your applications, protecting you from leaks in your toolchain.
Extend protection to API gateways, service meshes, and lightweight workers alongside serverless functions and edge workloads.
Every action is logged for compliance, governance, and board-level accountability.
In 30 minutes, we’ll show how it adapts to your cloud stack and give you a tailored roadmap for securing data across multi-cloud or hybrid environments.
