Real-time protection, full data discovery & classification across Active Directory, SaaS, file-sharing, pipelines and on-prem/legacy estates – without the blind spots.
Trusted by leading enterprises across finance, insurance, telecom, retail, healthcare, and more.
Relies on scheduled file-walk jobs that can take hours (or days) to complete, which delays visibility into sensitive data across complex environments.
Often requires agents, additional servers, and on-prem infrastructure to operate, resulting in significant deployment overhead and longer time to value.
Focus on file shares and Active Directory leaves gaps in visibility across APIs, SaaS applications, streaming data, and event-based systems.
Generates a high volume of alerts, often driven by regex-only detection models, which can flood teams with false positives and manual triage work.
Performs continuous data discovery and classification in both batch and streaming modes, ensuring real-time visibility across file shares, object stores, APIs, databases, and pipelines.
Deploys inline without agents, APIs, nor collectors using a gateway, reverse proxy, or data-store proxy; providing full protection with minimal overhead across cloud, hybrid, and air-gapped environments.
Fully protects legacy and modern data flows – including web, API, streaming (Kafka), file sharing, and cloud object storage – eliminating visibility gaps across the entire data estate.
Performs continuous data discovery and classification in both batch and streaming modes, ensuring real-time visibility across file shares, object stores, APIs, databases, and pipelines.
Whether it's legacy file servers, Active Directory, cloud APIs, or SaaS apps, DataStealth secures sensitive data at every point – without agents, code rewrites, or workflow disruption.
Stop flying blind in hybrid or multi-generational environments. DataStealth continuously discovers and classifies data in real time – whether it’s stored in a database, flowing through Kafka, or sitting in an S3 bucket.
Tokenization, masking, and encryption happen before data reaches apps, logs, or users – minimizing false positives and making data breaches dramatically less costly.
Deploy, whether on-prem, cloud, air-gapped, or containerized, without being boxed into a single vendor, infrastructure, or architecture.
Protects sensitive data before it reaches apps, logs, SIEMs, or storage – not hours later after a scan completes.
Secures data without deploying agents, scanners, or multi-server clusters – works as a gateway, reverse proxy, or datastore proxy.
Monitors and classifies data across APIs, Kafka streams, SaaS platforms, databases, file sharing, and object stores – not just CIFS/NFS folders.
Supports Active Directory, mainframes, legacy DBs, hybrid workloads, Kubernetes, and air-gapped environments – without requiring modernization first.
Applies protection in-flow, not post-processing – dramatically reducing false positives and eliminating exposure windows.
Covers the “invisible data paths” Varonis doesn’t touch – event streams, API calls, ETL pipelines, message buses, and structured/unstructured stores.
Moves security from visibility → action – data is protected instantly, not added to a backlog of governance tickets.
Technology-agnostic design fits any stack: cloud, on-prem, containerized, serverless – no forced storage, agent ecosystem, or OS dependency.
Reduces noise by controlling data before it hits downstream tools, instead of reacting after security tools detect it.
Applies protection in-flow, not post-processing – dramatically reducing false positives and eliminating exposure windows.
