Secure AI Data Pipelines
Your AI pipelines are ingesting sensitive data unprotected.
RAG indexes, embedding jobs, analytics runs, and agents can pull PII or PHI before a policy checks it. Protecto scans and masks that data before AI use, while keeping the context the AI needs.
- SOC 2 Certified
- GDPR & HIPAA Ready
- Live in <15 minutes
- Trusted by Engineering Teams Building AI at Scale
The Problem
Your pipelines feed AI. The sensitive data goes with them.
Most teams govern storage, but the real gap opens when data moves into embeddings, RAG indexes, ETL jobs, APIs, and agents.
AI teams copy governed data into AI systems, and your controls stop before the pipeline does
You rely on permissions, DLP scans, and access reviews before data leaves storage. Once that data is embedded or sent to an agent, those controls no longer show what the AI used.
Redaction removes the context RAG needs, and your retrieval quality drops
Data teams often strip columns, blank fields, or redact whole chunks before indexing. The pipeline looks safer, but retrieval loses the relationships that made the data useful.
When auditors ask what entered AI, you have table permissions instead of proof
GDPR, HIPAA, CCPA, GLBA, DPDP, and PCI all expect private data controls. Storage access logs do not show which values were masked, embedded, unmasked, or reused downstream.
How it works
Add one line of code. Protecto handles the rest.
Protecto sits between your AI and your data. Nothing changes in how you built your app.
Detect
Protecto scans data as it moves into AI workflows. It can run during ingestion, ETL, embedding creation, RAG indexing, API payload handling, and agent context assembly.
Transform
When sensitive data is found, Protecto replaces it with a safe label like <SSN>...</SSN>. The AI still gets the full context it needs to answer well — it just never sees the real value.
Govern
Every scan, mask, and unmask action writes an audit record. Compliance teams can see what data source was touched, which entities were protected, and which policy controlled the action.
See how to bring more data into AI without increasing sensitive data risk.
Capabilities
Three ways Protecto secures AI data pipelines.
Protecto acts before data reaches embeddings, RAG indexes, analytics jobs, vector databases, or agent workflows.
Protect data before AI reads it
Sensitive data often moves through batch jobs, feature pipelines, and embedding workflows before security sees it. Protecto scans structured and unstructured data before AI use, then masks PII, PHI, and PCI values in place.
- Stops raw PII and PHI before embedding jobs turn it into searchable context
- Protects structured tables, unstructured notes, logs, tickets, and documents
- Runs through API, Snowflake UDF, Databricks, Kafka, Spark, or batch workflows
Keep retrieval useful after masking
Blanking entire fields makes RAG less useful because the model loses relationships between people, claims, accounts, dates, and events. Protecto replaces sensitive values with consistent tokens, so retrieval still has the context it needs.
- Preserves relationships between records so RAG can still find the right chunks
- Uses consistent tokens across sources, sessions, and batch runs
- Keeps original values available only through policy-controlled unmasking
Apply one policy across every pipeline
AI data pipelines spread across ingestion jobs, ETL tools, APIs, vector databases, and agents. Protecto applies policy-based masking across those paths and logs every scan, mask, and unmask action.
- Applies different masking rules by tenant, data source, entity type, and workflow
- Records which policy protected each batch, payload, or retrieved chunk
- Lets approved systems unmask only the values their role and context allow
Customer story
How one healthcare AI team made 50M+ records usable for RAG
Challenge: A major health insurance provider needed to build a recommendation RAG assistant on 50M+ structured and unstructured PHI records, with initial remediation estimates of 6 to 9 months and over $1M.
50M+ records protected for RAG — recommendation accuracy maintained
“The first plan was months of remediation before the AI team could even test the assistant. We needed the RAG pipeline to use real claims and clinical context, but the PHI could not move into the model as raw data.”
— AI Platform Lead, Healthcare Insurance Provider
50M+
PHI records protected
$30–60M
Estimated annual AI benefit
<1 month
Time to go live
Integrations
Works where your data lives
One line of code. Drop it into what you already built. Nothing else changes.
Common Questions
Questions from security and AI teams
Where can sensitive data enter an AI data pipeline?
Sensitive data can enter during ingestion, ETL jobs, embedding creation, RAG indexing, API payloads, vector database writes, and agent workflows. Protecto scans and masks the data before those AI systems use it.
Does pre-AI masking break retrieval or AI answers?
No. Protecto replaces sensitive values with consistent tokens while keeping the surrounding context intact. The AI can still retrieve the right chunks and reason over the masked data.
How long does it take to get started?
Most teams can protect the first AI pipeline in under 15 minutes. Protecto can be added through APIs, SDK wrappers, Snowflake UDFs, Databricks, Kafka, or Spark workflows.
Which privacy laws does Protecto help with?
Protecto helps with GDPR, HIPAA, CCPA, GLBA, DPDP, and PCI requirements by detecting and masking sensitive data before AI use. It also logs scan, mask, and unmask activity for audit reporting.
Does Protecto work with LangChain, LlamaIndex, and OpenAI?
Yes. Protecto works with LangChain, LlamaIndex, OpenAI, Azure OpenAI, Amazon Bedrock, Databricks, Snowflake, Kafka, Spark, and vector database workflows through APIs and integrations.
Can downstream systems that need the data still access it?
Yes. Authorized systems and users can unmask data through policy-controlled access. AI pipelines can use protected tokens by default, while approved workflows can recover original values when the policy allows it.
Secure AI Data Pipelines
Bring enterprise data into AI safely. Raw PII stays out.
30 minutes. We'll show you exactly where PII and PHI could enter your AI pipelines today, and how to stop it.
- SOC2 Certified
- HIPAA Compliant
- GDPR Ready
- ISO 27001