Get answers on how to protect your data while maintaining or improving your operational workflows.
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Your data is secured at rest and in transit from day one, no complex setup required.
Tokenize the data so that exfiltrated assets are unusable, be it today or in the future.
Role-based masking keeps sensitive details hidden while giving teams the data they need to move fast.
Mainframes and other core systems can’t run agents, leaving entire environments invisible to your tools – and wide open to attackers.
Residency rules and third-party risk keep you from using best-in-class SaaS tools, forcing you to fall behind faster competitors.
DataStealth lets you apply the right defense – tokenization, masking, or encryption – on a per-element basis, tuned to your business needs.
Tokens look and act like real data, so your workflows keep running smoothly.
Deterministic tokens ensure joins, dedupes, and analytics all still work.
Make tokens permanent, reversible, or time-bound; you decide.
Mask sensitive fields on the fly; show “last 4 digits,” redact logs, or use realistic dummy data.
Obfuscate datasets permanently for analytics, training, or sharing.
Apply different masking rules by role, region, or device for true zero-trust enforcement.
Go beyond blanket encryption. Secure the fields that matter most for speed and compliance.
Encrypt data like credit cards while keeping formats intact to avoid breakage.
Enforce TLS 1.2+ and mTLS to secure every network hop.
Stop choosing between airtight security and smooth operations. Book a complimentary 1-on-1 session with a DataStealth architect and leave with:
DataStealth provides three core methodologies – i.e., Tokenization, Masking, and Encryption – each configurable at the data-element level through policy-driven rules.
Combined with continuous monitoring, real-time classification, and broad technology integrations, DataStealth ensures sensitive data is always protected across structured and unstructured environments, on-premises or in the cloud.
Deterministic: Same input → same token (supports joins, deduping, analytics).
Randomized: Same input → different tokens (maximizes privacy).
Reversible: Brokered, audited detokenization for workflows requiring real values.
Irreversible: One-way pseudonyms for permanent de-identification.
Format- and length-preserving tokens for compatibility with existing schemas.
Character-set controls for phone numbers, emails, IDs, addresses.
Checksum-aware tokens for PCI and similar fields.
Global tokens for enterprise-wide consistency.
Scoped tokens per app, tenant, or geography.
Time-bound and revocable tokens to limit long-term exposure.
Policy-driven reveal and break-glass detokenization.
Partial tokenization (e.g., “last-4”) for support use cases.
Multi-field deterministic correlation across related values.
Static masking for permanent obfuscation in datasets, exports, and sandboxes.
Dynamic masking for role-based, on-the-fly masking in applications.
Redaction for logs, tickets, and documents.
Partial reveal (e.g., “****1234”, j***@example.com).
Generalization/banding (e.g., “Age 30–39”).
Date shifting to preserve intervals without real dates.
Hashing/irreversible masking for joins and deduplication.
Realistic pseudonyms for training, QA, and demos.
Deterministic masking for stable joins and analytics.
Format- and length-preserving options for schema integrity.
Checksum-aware masking for PAN formats.
Role- and attribute-based masking across roles, tenants, and geographies.
Context-aware masking by device, source, risk score, or sensitivity.
Field- and row-level granularity, including nested JSON.
Works across structured and unstructured data sources.
Full-stack encryption: data at rest + in transit.
Field-level encryption for specific columns or JSON fields.
File/object encryption for documents, blobs, and data lakes.
Fragment-aware encryption for distributed storage architectures.
Symmetric AES-GCM (authenticated, low latency) and AES-CBC + HMAC.
Format-preserving encryption (FF1/FF3) for PANs and IDs.
Deterministic encryption for joins and lookups.
Envelope encryption: master keys protecting data keys.
TLS 1.2+ for all connections; mTLS and certificate pinning for zero-trust.
