Data Leak Prevention for AI

Your AI apps are leaking sensitive data right now.

Sensitive data leaks out through the documents your AI reads, the tools it calls, and the answers it sends back — not just what users type in. Protecto stops every path, without changing how your AI works or what it says.

Runtime data flow
Without Protecto With Protecto
RAG ContextRetrieved document
"Patient SSN: 078-05-1120, Card: 4111 1111 1111"
âš  Flows to LLM unguarded
Tool OutputCRM API response
"Contact: sarah@acme.com, DOB: 12/04/1988"
âš  Stored in agent memory, exposed across sessions
AI ResponseFinal answer to user
"The patient's SSN is 078-05-1120."
âš  PII delivered to end user, compliance breach
3
Leaks
0
Blocked
Risky
Status
Inovalon
Automation Anywhere
Bank Of Muscat Logo
Pain Point from a Customer
" AI apps can leak sensitive data after the prompt, through retrieved documents, tool outputs, agent memory, logs, or final responses. We need to stop leaks without blocking useful AI answers. "
Runtime Leaks
RAG Security
AI Accuracy

The Problem

Your AI is sharing sensitive data. You probably don't know where.

Most teams focus on what goes into the AI. But sensitive data can come out through the documents it reads, the tools it uses, and the answers it sends back.

1

You don't know what sensitive data your AI is using or sharing — and every run is a risk

Your AI reads documents, calls tools, and writes answers — all with sensitive data moving through it. Without any visibility, there is no way to track what was shared, or prove your system is safe when a regulator asks.

2

Manual filters break your AI's answers — and still miss sensitive data

Simple text-matching rules remove too much, so the AI loses the context it needs to answer well. They also miss sensitive data that's written differently — names spelled wrong, numbers with spaces, or data in unexpected formats.

3

When a regulator asks which AI calls touched sensitive data, you have no answer

GDPR, HIPAA, and CCPA all require you to show exactly how your AI handles private data. Without a clear log of every time sensitive data was found and blocked, you cannot pass an audit.

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.

1

Detect

200+ entities

Protecto watches what goes into and comes out of your AI — user messages, documents it reads, answers from tools it calls, and its final responses. It scans for over 50 types of sensitive data across 28 languages.

2

Transform

format-preserving

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.

3

Re‑identify

on egress

Before the AI's answer reaches the user, Protecto does a final check. Every piece of sensitive data found and removed is logged — what it was, where it came from, and when. Your compliance team gets a clear record they can export.

protecto · pipeline view
User Prompt
→
⬡ Protecto
→
LLM
RAG Context
→
⬡ Protecto
→
LLM
Tool Output
→
⬡ Protecto
→
Memory

LLM Response
→
⬡ Output Scan
→
✓ User

Deploy via
protecto.scan(text, entities=["SSN","PHI","PCI"])
// One call · No changes to your stack

See how to stop AI leaks without lowering response accuracy.

We'll show you how Protecto works with your AI setup. Live, in 30 minutes.

Capabilities

Three ways Protecto protects your data.

Protecto works at every stage — when data comes in, when the AI processes it, and when it sends an answer back.

01
Runtime Leak Detection

Catch every leak the moment data moves

Protecto checks every piece of data that moves through your AI — what users type, the documents it reads, the tools and APIs it calls, data stored in agent memory, and the answers it gives. It catches sensitive data at every step, not just at the front door.

SSN
EMAIL
PHI
CARD_NUMBER
DOB
IP_ADDRESS
+44 more
What it does
02
Context-Preserving Masking

Keep AI accuracy intact while removing sensitive data

Most tools delete sensitive data completely — and that breaks the AI's ability to answer. Protecto replaces it with a safe label instead. The AI reads <SSN>...</SSN> instead of the real number, keeps the full context, and answers just as well.

<SSN>...</SSN>
<EMAIL>...</EMAIL>
<PER>...</PER>
<CVV>...</CVV>
What it does
03
Output Leak Prevention

Block sensitive data before users ever see it

Even when you've cleaned up what goes into the AI, it can still repeat sensitive details in its answer. Protecto checks every response before it reaches the user — so nothing slips through at the end.

OUTPUT_SCAN
RESPONSE_GATE
AUDIT_LOG
What it does
99%
PII detection accuracy across 50+ entity types in production
Protecto internal benchmark
<1%
Response accuracy degradation after context-preserving masking
Benchmarked on GPT-4 and Claude 3 standard QA tasks
15 min
From sign-up to your first sensitive data protected in your AI
Average across teams on LangChain, OpenAI, and Bedrock

Customer story

How one healthcare AI team went from zero control to zero incidents

Healthcare Insurance · HIPAA Environment

Challenge: A major health insurance provider was building a RAG-based AI assistant to help subscribers make proactive health decisions. With 50M+ records containing structured and unstructured PHI, two prior data privacy tools failed — each degraded model accuracy to the point of making the AI unusable. Without a fix, the team estimated 6 to 9 months and over $1M to resolve the problem manually.

PHI protected across 50M+ records — recommendation accuracy maintained at scale

“Generic masking tools couldn’t maintain data integrity. Protecto was the only solution that kept the AI accurate while meeting our HIPAA requirements.”

— Head of AI Infrastructure

50M+

PHI records protected

$30–60M

Estimated annual AI project benefits

<1 month

Time to go live

Industry
Healthcare Insurance
HIPAA-regulated environment
Data Sources Protected
50M+ structured and unstructured subscriber health records
Ingested into RAG pipeline at query time
Prior solutions tried
Two commercial privacy tools
Both failed on accuracy and scale before Protecto
Compliance Outcome
HIPAA safe harbor requirements met
Recommendation accuracy maintained throughout

Integrations

Works where your data lives

One line of code. Drop it into what you already built. Nothing else changes.

Openai, Chatgpt
Google Gemini Ai
Anthropic Claude
Deepseek
Cohere
Grok By Xai
Langchain
Llamaindex
Semantic Kernel
Haystack By Deepset
Postgresql
Mangodb
Pinecone
Weaviate
& more...

Common Questions

Questions from security and AI teams

Sensitive data can show up in many places — what users type, documents the AI reads, answers from tools it calls, data stored across a conversation, logs, and the final answer it sends back. Protecto watches all of these, not just the input.

No. Protecto replaces sensitive data with a safe label — it doesn’t delete the surrounding text. The AI still sees the full context it needs and answers just as well. Tests show less than 1% change in answer quality.

Most teams are up and running in under 15 minutes. You add one function call to your code — nothing else changes. No new servers, no changes to your AI model, no rebuilding your app.

Protecto helps you meet GDPR, HIPAA, and CCPA requirements by keeping a clear record of every time sensitive data was found and blocked. You can export these records to show regulators exactly how your AI handles private data.

Yes. Protecto works with LangChain, LlamaIndex, OpenAI, Azure OpenAI, Amazon Bedrock, and Anthropic. You add one function call — that’s it. Nothing else in your setup needs to change.

Yes. When a system that is allowed to see the original data needs it, Protecto can give it back. You control which systems get access. The AI itself never sees the real value — only the safe label.

Data Leak Prevention for AI

Ship AI that handles sensitive data safely. No leaks. No compliance risk.

30 minutes. We'll show you exactly where sensitive data could appear in your AI today — and how to stop it.

Download Privacy Vault Datasheet

This datasheet outlines features that safeguard your data and enable accurate, secure Gen AI applications.

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