AI Data Loss Prevention

What is AI Data Loss Prevention?

AI Data Loss Prevention (DLP) is a security layer that sits between your users and AI systems (like ChatGPT, Claude, or custom AI apps) to detect and block sensitive data before it leaves your organization.

Signal Canary's AI DLP scans every message sent to AI systems in real-time, looking for PII, credentials, proprietary data, and other sensitive information you define.

Unlike traditional DLP solutions designed for email and file transfers, Signal Canary is purpose-built for the unique challenges of AI interactions:

Real-time scanning - Analyzes prompts before they reach the AI
Context-aware detection - Understands when data is sensitive vs. innocuous
Flexible actions - Block, redact, alert, or log based on your policy
Simple integration - Works with any AI app via API or browser extension

Why You Need AI DLP

Every day, employees paste sensitive data into AI tools without realizing the risk:

! Customer PII in Prompts

"Summarize this customer complaint: John Smith, SSN 123-45-6789, called about..."

! API Keys & Credentials

"Debug this code: api_key = 'sk-proj-abc123...'"

! Proprietary Code & Data

"Optimize this algorithm..." (pastes trade secret implementation)

AI providers may use your prompts to train future models. Once data is sent, you lose control over it permanently.

How Signal Canary AI DLP Works

1 Create a DLP Policy

Define what sensitive data patterns to detect (SSNs, credit cards, API keys, custom patterns) and what action to take when found.

2 Integrate with Your AI Apps

Add Signal Canary to your AI workflows via API proxy, browser extension, or direct SDK integration.

3 Monitor & Respond

View detections in real-time on your dashboard. Get alerts when sensitive data is blocked. Review logs for compliance.

What AI DLP Can Detect

Signal Canary includes pre-built patterns for common sensitive data types:

Category	Examples
Personal Identifiers	SSN, passport numbers, driver's license, national IDs
Financial Data	Credit card numbers, bank accounts, routing numbers
Credentials	API keys, passwords, OAuth tokens, private keys
Healthcare	Medical record numbers, health conditions (HIPAA)
Contact Info	Email addresses, phone numbers, physical addresses
Custom Patterns	Internal project codes, employee IDs, proprietary formats

You can create custom regex patterns to detect organization-specific sensitive data, like internal project codenames or proprietary identifiers.

Ready to protect your AI workflows? Let's create your first DLP policy.