Nothing Sensitive Ever Leaves.
See exactly what PromptWall detects and masks across every category of sensitive data. Real examples. Real patterns. Zero data leaks.
Try It Yourself
Type or paste any text below and see what PromptWall would detect and mask. This runs entirely in your browser — nothing is sent anywhere.
Help me debug this API call. Here's my setup: API Key: sk-proj-abc123def456ghi789jkl012mno345pqr678 Endpoint: https://10.0.4.55:8080/api/v1/users Auth: Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.abc123 The user john.doe@acme.com (phone: +1-555-123-4567) reported the issue. Their SSN is 123-45-6789. password=xK9#mP2$vL5nQ8
Help me debug this API call. Here's my setup: API Key: [MASKED_CREDENTIALS_3] Endpoint: https://[MASKED_INTERNAL_DOCS_1]:8080/api/v1/users Auth: [MASKED_CREDENTIALS_2] The user [MASKED_PERSONAL_INFO_3] (phone: [MASKED_PERSONAL_INFO_2]) reported the issue. Their SSN is [MASKED_PERSONAL_INFO_1]. [MASKED_CREDENTIALS_1]
Detected Items
sk-proj-abc123def456ghi789jkl012mno34...10.0.4.55Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6Ik...john.doe@acme.com+1-555-123-4567123-45-6789password=xK9#mP2$vL5nQ8This demo runs entirely in your browser using our Stage 1 regex engine. No data is sent anywhere. The full product adds Stage 2 (custom policies) and Stage 3 (proprietary contextual detection).
What We Detect
15+ built-in patterns across 6 categories, plus custom per-tenant rules and proprietary contextual detection.
Personal Information
john.smith@acme.com
[MASKED_PERSONAL_INFO_1]
+1 (555) 123-4567
[MASKED_PERSONAL_INFO_2]
SSN: 123-45-6789
SSN: [MASKED_PERSONAL_INFO_3]
Financial Data
Card: 4532-1234-5678-9012
Card: [MASKED_FINANCIAL_DATA_1]
Account: 12345678 Routing: 021000021
Account: [MASKED_FINANCIAL_DATA_2] Routing: [MASKED_FINANCIAL_DATA_3]
Health Data
Patient ID: MRN-2024-45892
Patient ID: [MASKED_HEALTH_DATA_1]
HRN: H-789456
HRN: [MASKED_HEALTH_DATA_1]
Credentials & Secrets
sk-proj-abc123def456ghi789jkl012mno345
[MASKED_CREDENTIALS_1]
ghp_1234567890abcdefghijklmnopqrstuvwxyz12
[MASKED_CREDENTIALS_2]
AKIAIOSFODNN7EXAMPLE
[MASKED_CREDENTIALS_3]
Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6...
[MASKED_CREDENTIALS_4]
password=SuperSecret123!
[MASKED_CREDENTIALS_5]
Source Code & Keys
-----BEGIN RSA PRIVATE KEY----- MIIEpAIBAAKCAQEA... -----END RSA PRIVATE KEY-----
[MASKED_SOURCE_CODE_1]
postgres://admin:P@ssw0rd@prod-db.acme.com:5432/customers
[MASKED_CREDENTIALS_6]
Internal Infrastructure
Server at 10.0.4.55 port 3306
Server at [MASKED_INTERNAL_DOCS_1] port 3306
VPN: 192.168.1.100
VPN: [MASKED_INTERNAL_DOCS_2]
Real-World Scenarios
These are actual prompts employees send to AI tools every day. See what PromptWall catches — and what the AI tool actually receives.
Developer asking ChatGPT for help
Software Engineer using ChatGPT
I'm getting a connection error. Here's my config: DB_HOST=prod-db-master.acme.internal DB_USER=admin DB_PASS=xK9#mP2$vL5nQ8 DB_NAME=customers The error happens when user john.doe@acme.com tries to log in. My API key is sk-proj-abc123def456ghi789jkl012mno345pqr678.
I'm getting a connection error. Here's my config: DB_HOST=[MASKED_INTERNAL_DOCS_1] DB_USER=admin DB_PASS=[MASKED_CREDENTIALS_1] DB_NAME=customers The error happens when user [MASKED_PERSONAL_INFO_1] tries to log in. My API key is [MASKED_CREDENTIALS_2].
HR manager using Claude for a letter
HR Manager using Claude
Draft an offer letter for: Name: Priya Sharma Email: priya.sharma@gmail.com Phone: +91 98765 43210 Position: Senior Engineer Salary: 28,00,000 per annum SSN equivalent: ABCDE1234F (PAN) Starting: March 15, 2025
Draft an offer letter for: Name: Priya Sharma Email: [MASKED_PERSONAL_INFO_1] Phone: [MASKED_PERSONAL_INFO_2] Position: Senior Engineer Salary: 28,00,000 per annum SSN equivalent: ABCDE1234F (PAN) Starting: March 15, 2025
DevOps engineer debugging with Cursor
DevOps Engineer using Cursor
This Terraform isn't working. Here's the relevant config:
provider "aws" {
access_key = "AKIAIOSFODNN7EXAMPLE"
secret_key = "wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY"
region = "ap-south-1"
}
resource "aws_instance" "prod" {
ami = "ami-0c55b159cbfafe1f0"
instance_type = "t3.large"
private_ip = "10.0.1.42"
}This Terraform isn't working. Here's the relevant config:
provider "aws" {
access_key = "[MASKED_CREDENTIALS_1]"
secret_key = "[MASKED_CREDENTIALS_2]"
region = "ap-south-1"
}
resource "aws_instance" "prod" {
ami = "ami-0c55b159cbfafe1f0"
instance_type = "t3.large"
private_ip = "[MASKED_INTERNAL_DOCS_1]"
}Finance team querying Gemini
Finance Analyst using Gemini
Analyze this customer refund: Customer: Sarah Johnson, sarah.j@bigclient.com Card ending 4532-8901-2345-6789 was charged $4,500 Account routing: 021000021, Account: 1234567890 Refund reason: duplicate charge on invoice INV-2025-0892
Analyze this customer refund: Customer: Sarah Johnson, [MASKED_PERSONAL_INFO_1] Card ending [MASKED_FINANCIAL_DATA_1] was charged $4,500 Account routing: [MASKED_FINANCIAL_DATA_2], Account: [MASKED_FINANCIAL_DATA_3] Refund reason: duplicate charge on invoice INV-2025-0892
Three Layers of Detection
Every prompt passes through three detection stages. Fast patterns first, then policies, then AI — in under 500ms total.
Regex Engine
15+ high-precision patterns catch structured data instantly. Emails, phones, SSNs, credit cards, API keys, bearer tokens, private keys, connection strings, internal IPs.
Runs on every request. Zero network calls. No false negatives on known patterns.
Policy Engine
Custom per-tenant rules with regex patterns and keyword block lists. Block "Project Titan" mentions. Mask internal codenames. Alert on competitor names.
Admins configure rules in the dashboard. Changes sync to agents within 5 minutes.
Deep Detection
Proprietary contextual analysis catches what regex can't. Business confidential info, narrative PII, schema dumps that imply sensitive data, informal mentions.
Optional (Business plan+). Runs on isolated infrastructure we control. Results merged with regex detections.