Secure PII Buried in Nested, Encrypted, and Compressed Files, Before Attackers Find It

Terabytes of PII, PHI, and IP are scattered across decades of documents, spreadsheets, PDFs, and presentations. Traditional tools can’t see it, leaving you exposed to breaches, insider leaks, and compliance failures.

File shares, SharePoint sites, and cloud buckets are littered with duplicates and forgotten files. You don’t know what sensitive data exists, or who has access.

A SIN in a Word doc, a credit card in a comment, PHI in a scanned PDF, invisible to legacy tools but devastating if exposed.

Firewalls don’t stop insiders. A copied folder to USB or a misconfigured share is enough to walk sensitive files out the door.
DataStealth goes beyond inventory. We don’t just find unstructured data – we protect it at the source with patented tokenization that makes stolen files useless.

Our agentless engine scans across file shares, SharePoint, and cloud repositories, finding PII with near-zero false positives.
We recursively unpack complex files (i.e., ZIPs, PDFs, nested docs) and replace sensitive strings with format-preserving tokens. The file still works, but the data is no longer real.


Tokenized files are safe to steal, leak, or expose. Even in the wrong hands, they hold no exploitable value.

A nationwide telco needed to prove no PII was exposed across 80TB of file shares. Manual review and legacy tools failed at scale.

DataStealth’s discovery engine scanned terabytes of files, identified embedded PII (driver’s licenses, SINs), and used cardinality analysis to quantify risk.

The telco gained a verifiable inventory, proved its security posture to the board, and established a repeatable governance process, turning a liability into controlled, compliant data.

Connect directly to NFS, SMB, SharePoint, or cloud storage, no agents or code changes.

Scan and tokenize PII inside nested files, compressed archives, and encrypted documents.

Enforce attribute-based access so only authorized users see real data. Partners or offshore teams see only tokenized or masked values.
With DataStealth, your unstructured data estate is no longer an undefendable blind spot. It’s a secured, compliant asset.

Tokens carry no mathematical link to the original data; you can’t steal what isn’t there.

Delete a single vault entry and that token disappears across all environments.

Works with existing file systems, apps, and workflows. No code, no agents, no collectors.

It’s just a simple DNS change. Protect files instantly without ripping and replacing tools.

Get expert answers on how to deploy DataStealth at enterprise scale in your environment without performance trade-offs, code rewrites, or disruption.
SCHEDULE A CALLMost file security tools scan at the surface level – they index filenames, check metadata, and apply regex to top-level content. They miss the PII buried inside a ZIP containing a PDF with an embedded spreadsheet – i.e., the real-world structure of enterprise file shares.
DataStealth's payload handlers recursively unpack complex file structures – ZIPs, TARs, nested Office documents, encrypted archives, scanned images (via OCR), and embedded objects.
Each layer is inspected by the classification engine, which applies contextual analysis and validation (Luhn checks, Soundex, format validators) to identify sensitive values with near-zero false positives.
Once identified, sensitive strings are replaced with format-preserving tokens in place – the file retains its structure and opens normally, but the PII, PHI, or PCI data inside it is no longer real.
Tokenized files are safe even if exfiltrated, shared externally, or copied to non-production environments.
Unstructured data – documents, spreadsheets, PDFs, images, emails, presentations – makes up an estimated 80% of enterprise data. Unlike structured database records, unstructured data has no fixed schema – sensitive values can appear anywhere in the content, in any format.
Legacy DLP tools were built for structured environments. They scan network boundaries and endpoints but lack the ability to parse deep file structures, apply contextual validation, or distinguish between a real credit card number and a similar digit string in an invoice reference.
The result is either massive false positive volumes or – worse – missed shadow data hiding in file shares nobody monitors.
DataStealth's agentless discovery engine was built specifically for unstructured environments. It connects directly to NFS, SMB, SharePoint, and S3-compatible cloud storage – scanning every file, every layer, every format – and feeding results into the data protection layer for immediate tokenization or masking.
File share encryption protects files as a whole – the entire file is encrypted, and any authorized user who decrypts it sees all the content, including sensitive values. It's an all-or-nothing model that doesn't address overprivileged access or insider risk.
File share tokenization operates at the content level – individual sensitive values inside the file (names, SSNs, credit card numbers, health records) are replaced with format-preserving tokens while the rest of the content remains readable. This means a document can be shared, analyzed, or stored normally – but the sensitive fields within it carry no exploitable value.
Tokenization also eliminates the "harvest now, decrypt later" threat – there's no key to steal and no ciphertext to brute-force, today or in a quantum future.
GDPR Article 5 requires that personal data be stored no longer than necessary and protected against unauthorized processing.
PCI DSS Requirement 3 restricts the storage of cardholder data and mandates protection mechanisms for any data that is retained. HIPAA requires safeguards for all ePHI, including documents stored in shared drives and cloud repositories.
File shares are where most compliance failures hide – decades of documents accumulate with no governance, no access controls, and no visibility into what sensitive data they contain.
DataStealth closes this gap by scanning file repositories at full scale (proven at 80TB+), classifying every sensitive element with confidence scoring, and tokenizing or masking regulated values in place.
The result is a verifiable, auditor-ready inventory paired with protection that ensures no regulated data remains exposed – even in file shares that haven't been reviewed in years.
For DSAR purposes, every instance of an individual's data across every file repository is mapped and addressable from a single platform.