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Redaction Without Replacing Anything

Most evaluations start because redaction is missing, not because the evidence or content system is wrong. Redactor adds the missing step and leaves the system of record where it is.

YOUR SYSTEM OF RECORD UNCHANGED {''.join(f'' f'{nm}' f'' f'{nm}' f'' f'' for i,nm in enumerate(["Evidence.com","Microsoft 365","S3 buckets","File shares"]))} REDACTION STEP REST API Nothing is migrated and nothing is replaced

Challenges

What These Share

The API is the product surface, not an add-on

The same REST endpoints and OpenAPI specification are available in every deployment posture, so a pipeline built against SaaS behaves identically on-premises.

Nothing has to be opened by hand

Headless processing takes a source location, applies a policy and writes the output, which is what makes an archive tractable rather than a project.

One system covers every format

Buying separately for video, audio, documents and images means four tools, four audit trails and four answers to the same procurement question.

Storage is not duplicated

A pipeline that reads and writes your own buckets leaves the content where your retention policy already governs it.

How the Integration Is Built

01

Point at the source

A bucket, a SharePoint library, a watched folder or a direct API call. Content is read where it already lives.

02

Choose the policy

A redaction template fixes the detection classes, the framework and the masking style, so the pipeline does not need a decision per file.

03

Process headlessly

Files are queued and redacted without an operator opening anything.

04

Write the output back

The redacted rendition returns to the destination you nominate, with the original handled according to your configured output policy.

05

Read the record

Every action is in the custody trail and the redaction record, exportable for whatever audit the system of record cannot answer.

Where This Fits

The API documents the endpoints, which are the same in every deployment posture, so a pipeline built against SaaS behaves identically on-premises. Automation and scale covers templates, queues and bulk permissions, file formats lists what can be ingested and returned, and deployment covers running the processing inside your own network.

Tell Us What You Already Run

We will show you where the redaction step goes and what it costs to add.