FileCloak

Your documents contain more sensitive data than anyone expects.

FileCloak is the upcoming Lokion layer for analyzing and anonymizing documents before they are shared externally or uploaded into AI systems. It is designed to replace slow, manual redaction with controlled, scalable protection.

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Automatic document analysis Context-aware anonymization Coming soon

Availability

FileCloak is in preparation and not generally available yet.

Coming Soon

Current reality Teams share PDFs, contracts and reports with sensitive data still inside them.

Manual redaction is slow and error-prone

FileCloak vision Analyze the document, anonymize what matters and keep the file usable for the workflow.

Safer sharing and AI usage

Planned outcome Companies can move documents faster without accepting blind leak risk.

The problem

Documents are one of the most underestimated leak sources in the business.

A single PDF can contain names, numbers, contract clauses, customer details and strategic context at once. These files get shared externally and uploaded into AI systems every day.

Documents bundle risk

One file often contains far more sensitive information than a single message or prompt.

Teams share them constantly

Reports, contracts and PDFs move between clients, vendors, internal teams and external tools all the time.

Manual control does not scale

Redacting files by hand is slow, inconsistent and easy to get wrong under deadline pressure.

Hidden risk

The dangerous part is often what nobody notices inside the file.

Companies tend to focus on where documents are stored. The bigger issue is what is still inside them when they are exported, attached or uploaded to external systems.

Contracts still contain names and terms

A file that looks routine can expose identities, pricing logic and legal obligations.

Reports contain internal numbers

Financial and operational summaries often include details that should never be shared unchanged.

AI uploads multiply the problem

Once a full document is uploaded into an external system, your exposure is far larger than a single text snippet.

Why current approaches fail

Most teams either redact too slowly or share too early.

Manual redaction is fragile

It depends on people spotting every risky detail every time, which breaks fast at scale.

Classic DLP is not enough

It may detect a problem, but it does not make the document safely usable for the next step.

Throughput matters

Business teams cannot wait on a slow review cycle every time a file needs to move.

Block-only security creates workarounds

Teams will bypass rigid processes if they make document workflows too hard.

What FileCloak is built to do

Make documents safer to use, not impossible to use.

FileCloak is being built around automatic analysis, context-based anonymization and audit-ready workflows so teams can share or process documents without manual chaos.

Recognize sensitive document content Detect identities, confidential clauses, internal metrics and other risky elements.

Planned

Anonymize while preserving usability Prepare a safer version of the file instead of forcing manual rewriting or hard blocks.

Planned

Create audit-ready processes Give security and compliance teams visibility into document handling decisions.

Planned

Who this is for

Especially relevant for teams with heavy document exposure.

Legal

Contracts, case files and supporting documents often contain hidden identifiers and sensitive clauses.

Finance

Reports, forecasts and due diligence material carry concentrated business risk.

Employee records and internal documentation require careful anonymization before external use.

Consulting

Client documents need to stay useful while sensitive details are protected at speed.

Join the FileCloak waitlist

If document sharing is one of your biggest uncontrolled risks, this is the next Lokion layer to watch.

FileCloak is not available yet, but the problem it solves is already real. Join the waitlist to get early updates and access planning.

Document security AI-safe file handling Coming soon