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.