You need simple text redaction for small datasets.
Snowflake's AI_REDACT is a fully managed Cortex AI Function with redact and detect modes for unstructured text. It is convenient when the input is short and default category placeholders are enough.
AI_REDACT Alternative
Snowflake AI_REDACT alternative for long text, documents, and custom entities.
Snowflake's AI_REDACT is convenient for short unstructured text data. Agent Mask adds custom entities, 14-language detection, configurable de-identification output, identity-aware consistent replacements, review metadata, and document redaction in a single SQL function call.
Start with Snowflake Marketplace for the native app, or ask for a Docker trial key if self-hosting fits better.
Snowflake AI_REDACTBuilt-in optionQuick PII redaction for short, well-formed English text
Feature gapLess controlDefault placeholders, no custom entities, no cross-column consistency
Agent MaskProduction redactionNo token caps, 9 de-identification operators, custom entities, cross-column de-identification
1SELECT agent_mask_en.app_public.mask(
2 [ticket_note, chat_log]
3) AS redacted
4FROM support_tickets;
Input column
Text
ticket_note
Billing question from
Maya Chen
PERSON_1
about invoice INV-1042. Assigned to
Alex Patel
PERSON_2
. Contact:
maya.chen@example.com
EMAIL_ADDRESS_1
or
415-555-0198
PHONE_NUMBER_1
chat_log
10:42
Alex
PERSON_2
:
Maya
PERSON_1
never got the invoice email.
10:43 Maya Chen PERSON_1 replied from maya.chen@example.com EMAIL_ADDRESS_1 and asked Alex Patel PERSON_2 to call 415-555-0198 PHONE_NUMBER_1
10:43 Maya Chen PERSON_1 replied from maya.chen@example.com EMAIL_ADDRESS_1 and asked Alex Patel PERSON_2 to call 415-555-0198 PHONE_NUMBER_1
Choose between built-in AI_REDACT and production PII redaction controls in Snowflake.
AI_REDACT is fine for small datasets and short, well-formed text. Agent Mask handles production PII redaction and de-identification workflows in Snowflake: long text, PII in text columns, custom entities, consistent replacements across related fields, supported documents/files, and review metadata.
You need production redaction controls.
Agent Mask adds plain-English and regex custom entities, support for 14 languages, configurable de-identification operators, cross-column identity-aware consistency, document redaction, and review metadata while keeping data in your Snowflake account.
AI_REDACT limits appear after the first query.
These documented constraints matter once redaction moves from a test query to production data.
Long text columns need chunking
Snowflake documents AI_REDACT's limitations: combined 4,096 token input/output limit and a 1,024 token output cap. Longer notes need splitting, redaction, and recombination logic.
Language and region coverage
Snowflake says AI_REDACT works best with well-formed English text and currently supports US PII plus some UK and Canadian PII.
Manual review remains
Snowflake frames AI_REDACT as best-effort AI detection and recommends reviewing output against your organization's privacy requirements.
Snowflake AI_REDACT vs Agent Mask.
Compare built-in Snowflake AI_REDACT with Agent Mask across supported inputs, output controls, custom entities, languages, and document handling.
Dimension
Snowflake AI_REDACT
Agent Mask
Best use case
Snowflake AI_REDACTShort unstructured text where built-in entity types and replacements are enough.
Agent MaskProduction PII redaction for long text, custom entities, and files inside Snowflake.
Length limits
Snowflake AI_REDACTDocumented token limits require chunking for longer inputs.
Agent MaskNot constrained by token caps; practical limits depend on request size and compute.
Output control
Snowflake AI_REDACTSimple category placeholders such as [NAME] and [ADDRESS].
Agent MaskTyped counters, constants, masks, hashes, faker values, encryption, entity type labels, or keep mode.
Custom entities
Snowflake AI_REDACTNo custom entities; detection is limited to small list of supported PII categories.
Agent MaskLarge list of built-in entities, plus custom entities you define in plain English.
Cross-column consistency
Snowflake AI_REDACTNo cross-column consistency; each text value is redacted independently.
Agent MaskReplacements are consistent across related columns and even collapse aliases to the same placeholder.
Input shape
Snowflake AI_REDACTVARCHAR text input; documents must be parsed or transcribed before redaction.
Agent MaskText, arrays of text, PDFs, scanned PDFs, images, DICOM, DOCX, RTF, and ZIP archives.
Reference material
This page is based on Snowflake's public AI_REDACT documentation and Agent Mask's docs.
Snowflake AI_REDACT guide
Snowflake's user guide covers modes, limitations, supported PII categories, error handling, token usage, and chunking examples.
AI_REDACT SQL reference
The function reference documents syntax, arguments, return values, and error behavior for AI_REDACT.
Agent Mask docs
Agent Mask docs cover install, request parameters, custom entities, de-identification methods, supported languages, identity consistency, and document processing.
Agent Mask zero-egress architecture
Agent Mask documentation explaining how Snowflake Native App and self-hosted Docker processing stay inside your chosen runtime without sending payloads to Agent Mask.
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AI_REDACT alternative FAQ
Answers for Snowflake teams comparing built-in PII redaction with a Marketplace Native App.
When is AI_REDACT enough?
AI_REDACT is a good fit for short, well-formed text where Snowflake's built-in entity types and replacements are good enough for your use-case.
Where does AI_REDACT start to break down in production?
Long inputs create extra work because token caps force chunking and recombination. Custom sensitive terms, documents, and consistent cross-column replacements are bigger gaps: AI_REDACT does not support them, so those workflows need another redaction layer.
Can AI_REDACT detect our custom sensitive data?
No, AI_REDACT cannot detect custom sensitive data beyond its supported PII categories. Agent Mask lets teams define custom entities in plain English or with regex for things like MRNs, member IDs, account references, internal case IDs, and domain-specific sensitive terms.
Can AI_REDACT de-identify multiple columns?
No, AI_REDACT cannot redact multiple columns in the same function call. Agent Mask can process related columns together and keep repeated entities or aliases mapped to consistent replacements.
Can AI_REDACT handle documents, scans, and images?
AI_REDACT works on text input. Agent Mask supports text plus PDFs, scanned PDFs, images, DICOM, DOCX, RTF, and ZIP archives inside Snowflake.
When should Snowflake teams choose Agent Mask over AI_REDACT?
Choose Agent Mask when redaction is no longer a single short text field: long notes, related columns, documents, custom sensitive terms, consistent replacements, and review evidence need a controlled Snowflake-native workflow.
Need production redaction features beyond what AI_REDACT offers?
Install Agent Mask from Snowflake Marketplace when your Snowflake PII redaction pipeline needs custom entities, de-identification operators, consistent replacements, review metadata, and file support.