PII hides everywhere—support tickets, clinical notes, chat logs. You don't see it until there's a breach. Pass it through one function. Get clean data back.
You’re paying to store data you can’t safely use.
Now there’s a credit card number in your chat logs. A patient identity in your help desk. A Social Security number in your call transcripts. A personal identity in your "anonymous" dataset.
That data is now trapped. You can’t safely feed it to your LLMs. You can’t run analytics on it. You can’t use it for training or research without creating massive risk.
It’s either a compliance liability or wasted insights—pick one.
That data has value—if you could just separate what’s sensitive from what’s useful.
Unmasked PII = audit findings, fines, breach risk
Data teams can’t use what they can’t safely access
Models can’t train on data riddled with PII
PII copies spreading across dev, test, and staging
Scan text fields for hidden PII and mask it automatically—all inside Snowflake.
From obvious SSNs to names hidden in messy transcripts, Agent Mask catches what simpler tools can’t. One solution for healthcare, finance, government, and enterprise data.
Your data never leaves your environment. No transfers, no third-party exposure, no additional infrastructure to manage.
GPU-optimized batch processing handles enterprise workloads. Detect and anonymize millions of records without breaking a sweat.
Detect PII in English, Spanish, German, French, and more. Global data, single solution.
Mask, redact, or replace. Configure anonymization per entity type and use case.
Know exactly what was found and where. Get entity positions and types, not just redacted text.
Clinical notes, medical transcripts, discharge summaries—healthcare data is unstructured and sensitive. Agent Mask detects PHI in freeform text with the precision HIPAA demands.
Share data with internal teams and external partners for research, analytics, and care coordination—without compromising patient privacy. Train AI on real clinical notes and transcripts, safely.
Loan applications, transaction notes, customer communications—financial data lives in documents and conversations. Agent Mask finds sensitive data wherever it hides.
Run fraud models on transaction notes that were previously off-limits. Enable data-driven decisions while maintaining the regulatory compliance your business depends on.
Employee feedback, user research, customer surveys—valuable data locked behind privacy concerns. Agent Mask makes it safe to share across teams.
Turn restricted data into company-wide assets. Analyze employee feedback without exposing who said what.
Court filings, body cam transcripts, investigative reports—government records require redaction before release. Agent Mask automates what used to take hours of manual review.
Prepare public records without manual review of every document. Meet disclosure deadlines without compromising privacy.
Healthcare data protection. BAA support and PHI detection.
EU data types, right to erasure, data minimization.
California consumer data protection and disclosure.
Credit card detection and masking for payments.
Built with SOC 2 controls for enterprise security.
Agent Mask operates on a zero-trust model. We never see your data, never store your data, never have access to your data. The application runs in your Snowflake environment with the permissions you grant—nothing more.
Cloud APIs leak your data. LLMs hallucinate. Regex misses context. Open source requires an engineering team. Pick your poison—or don't.
Your data leaves Snowflake, crosses the network, and lands on AWS or Google servers for processing. Per-character pricing means costs scale unpredictably. And Comprehend only supports 2 languages.
Run the same prompt twice, get different results. LLMs hallucinate PII that isn't there and miss PII that is. Your compliance team will love explaining that to auditors.
Snowflake's own docs call it "best-effort" redaction that "requires manual review." English-only, 4K token limit, no entity positions returned. Good for demos, not production.
"Smith & Wesson" flagged as a person. "123-45-6789" caught, but "my social is one two three..." missed entirely. You'll spend more time tuning patterns than doing actual work.
Great foundation—we built on it. But raw Presidio has known false positive issues at production confidence scores, no checksum validation, and no Snowflake integration. You'll need a team to make it work.
Enterprise vaults that tokenize and encrypt structured data fields. Great for credit card storage—but they can't scan free-form text for PII you don't know is there. $100K-$200K+/year for a different problem.
Different tools for different jobs. Nightfall watches SaaS apps for data leakage in real-time. Protecto sanitizes prompts before they hit LLMs. Neither is designed to redact text columns in your data warehouse.
Every organization we've tested found PII they didn't know they had. The question isn't whether it's there—it's whether you find it before an auditor does.
You're already on Snowflake—that's the hard part done.
Get Agent Mask from the Marketplace. Grant access to your schemas.
Pass your text columns through the function—support tickets, clinical notes, survey responses, whatever contains unstructured data.
Receive anonymized output with PII replaced. Your original stays intact.
Start with a free proof of concept on your actual data.