Varonis is forcing customers into SaaS and abandoning on-prem. DataStealth protects your entire data estate — legacy, mainframe, hybrid, and on-prem — without rewriting, migrating, or rebuilding anything.
Trusted by leading enterprises across finance, insurance, telecom, retail, healthcare, and more.


Diagram showing how the network in-line technology works, with clear call-outs to on-prem, legacy, mainframe, cloud, SaaS, and AI/LLMs.
Basically, just show DataStealth being in the line of traffic between the different nodes (legacy, mainframe, on-prem, SaaS, etc) and then protecting the data in different ways, with call-outs to tokenization, masking, TDM.
Protect Every System Without Rewrites: DataStealth sits in-line between your applications and data, protecting everything — mainframes, legacy, SaaS, APIs, clouds, warehouses — with real-time masking, encryption, and tokenization.

Agent-based scans, limited accuracy.

Real-time, agentless classification across databases, files, APIs, SaaS, streams.
Finds sensitive information in structured and unstructured data.

Limited, Varonis is moving to the cloud.

Full coverage: cloud, hybrid, SaaS, warehouses, pipelines, legacy systems.

No inline enforcement, only detects after exposure

Protects data in-flow with real-time tokenization, masking, encryption.

Requires agents, collectors, servers, AD-centric footprint

No agents,deploy via gateway, reverse proxy, sidecar, datastore proxy.

Fragmented support across on-prem and cloud

Unified policies across on-prem, cloud, multi-cloud, and hybrid systems.

Limited

Protects sensitive data in AI pipelines, APIs, streams, and workflows.

Requires agents, collectors, servers, AD-centric footprint

No agents,deploy via gateway, reverse proxy, sidecar, datastore proxy.

Manual RBAC, alerting without real-time enforcement

Inline masking, tokenization, encryption with role-based reveal controls.

Alert-only, manual triage, slow remediation

No agents,deploy via gateway, reverse proxy, sidecar, datastore proxy.

Basic templates, limited residency or sovereignty controls

No agents,deploy via gateway, reverse proxy, sidecar, datastore proxy.

Protect your environment exactly as-is — no rewrites or migrations required.

Stop exposure instantly with in-flow tokenization, masking, and encryption.

Full visibility across files, databases, APIs, SaaS, streams, and legacy.

One platform for discovery, classification, protection, and remediation.

Stay on-prem or hybrid, lifetime guarantee, never forced into SaaS migration.
Protect every system you run — without rewriting, migrating, or modernizing anything.
DataStealth provides unified, in-line protection across on-prem, cloud, hybrid, legacy, and air-gapped systems. Whether you are processing data through mainframes, DB2, legacy apps, SaaS platforms, microservices, warehouses, or event streams, DataStealth applies consistent controls across every data path.You get enterprise-grade coverage that works with the infrastructure you already have — not the one a vendor forces you to adopt.
With deep, real-time discovery and classification across all data flows, DataStealth enforces tokenization, masking, and encryption automatically as data moves. This ensures your most sensitive information is protected at every moment, at any scale, and across any architecture.

Automatically find, classify, and protect sensitive
data — everywhere it moves or lives.
DataStealth continuously discovers sensitive information across databases, file systems, SaaS applications, APIs, warehouses, object stores, logs, and message streams — including shadow IT systems and forgotten legacy repositories. There are no agents to deploy, no scanners to schedule, and no integration work required.
The platform identifies PII, PHI, PCI, credentials, secrets, passwords, and regulated data in both structured and unstructured formats with extremely high precision.
This visibility extends across on-prem systems, cloud services, hybrid environments, and multi-region deployments. DataStealth gives enterprises a full, real-time inventory of sensitive data across their entire ecosystem, enabling better governance, safer modernization, and reduced exposure risk long before attackers can exploit blind spots.
Apply data protection automatically — in motion and at rest — before exposure can occur.
Unlike tools that alert after sensitive data is already exposed, DataStealth enforces protection in real time as data flows through applications, services, pipelines, and storage layers. Tokenization, masking, encryption, redaction, and quarantine are applied instantly, triggered by classification and policy.
This eliminates exposure windows, reduces reliance on downstream systems, and drastically lowers breach impact.
DataStealth supports protection for legacy applications, modern microservices, SaaS applications, AI/LLM pipelines, Kafka streams, ETL pipelines, databases, file shares, and object storage — all without code changes or infrastructure rewiring. Enterprises gain a single, consistent protection layer across their entire environment, at any scale.
Eliminate unnecessary cleartext and enforce least-privilege access everywhere data flows.
DataStealth removes sensitive data from logs, dashboards, support tools, pipelines, and event streams before it can be exposed to unauthorized users or downstream systems. Role-based reveal, dynamic masking, and fine-grained field controls restrict access to only the data each user is allowed to see — and nothing more.
This dramatically reduces overexposed data across cloud and on-prem environments alike.
By applying controls in-line and in real time, DataStealth creates a consistent zero-trust boundary around your most sensitive information. Every request is verified, every field is protected, and every system — legacy or modern — operates under the same least-privilege framework.
Deploy instantly and scale seamlessly with a no-code, agentless, network-layer architecture.
DataStealth installs through a gateway, reverse proxy, datastore proxy, or sidecar, often with nothing more than a DNS update. There are no agents to deploy, no collectors to maintain, and no code changes to integrate.
Because protection is inline, DataStealth scales horizontally with your existing load balancers, routing tiers, and application footprint.
This avoids the bottlenecks, performance hits, and operational overhead of agent-based or application-integrated tools. Whether handling billions of API calls, multi-region workloads, high-volume streaming data, or legacy batch processes, DataStealth maintains consistent, in-flow security across your enterprise — without slowing anything down.
Achieve unmatched accuracy and consistency in classifying sensitive data across all systems.
DataStealth uses a multi-method approach that combines pattern detection, named entity recognition, NLP, AI inference, checksums, contextual signals, and language-aware models. This allows the platform to recognize sensitive data with far more accuracy than regex-based tools, even in complex or inconsistent data sets.
Custom classifiers allow fine-grained targeting for industry-specific or organization-specific data types.
Confidence scoring, tuning controls, and continuous updates help reduce false positives and false negatives, ensuring classification is both precise and actionable. With a single unified classification ruleset applied across your estate, DataStealth delivers consistent, repeatable, audit-ready results — regardless of where the data resides.
Manage all protection actions in one place — with automated, real-time enforcement.
A unified interface lets teams annotate, mask, tokenize, encrypt, redact, quarantine, or delete sensitive data across every environment. DataStealth consolidates discovery, classification, protection, and remediation into a single operational workflow, eliminating the fractured toolchains that slow down response and governance.
Everything is fully audited with complete traceability.
Reveal rules follow contextual logic such as user identity, purpose, location, or application. This allows least-privilege access to be enforced dynamically and consistently. With a single control plane driving protection everywhere, teams reduce operational overhead while strengthening security posture across the organization.
Adopt offshoring, SaaS, multi-region, and AI initiatives without redesigning your architecture.
DataStealth protects sensitive fields before they reach offshore developers, global support teams, multi-region environments, SaaS apps, or AI/LLM pipelines. This allows organizations to scale operations globally without exposing regulated or high-risk data.
Tokenization, masking, and encryption happen in-flow, automatically, and without modifying applications or workflows.
Because DataStealth operates at the network layer, protection follows the data consistently across clouds, regions, and service boundaries. You gain the ability to rapidly expand operations while maintaining strict compliance, residency, and zero-trust requirements — no refactoring or modernization projects required.