APS automatically detects and protects over 50 types of sensitive data. From personal information to proprietary code, nothing escapes our AI-powered detection engine.
Detect and mask personal data to ensure privacy compliance
HIPAA-compliant detection of medical and health data
Protect payment and financial information from exposure
Prevent authentication data from leaking to AI models
Protect proprietary code and intellectual property
Guard strategic and competitive business information
APS analyzes every prompt in real-time, detecting sensitive data with context-aware AI and taking the appropriate action - all in under 500ms.
Intercept prompts before they reach the LLM
AI-powered identification of sensitive data
Categorize data type and sensitivity level
Mask, redact, or block based on policy
Configure different actions for different data types based on your security policies and risk tolerance.
Replace sensitive data with placeholder tokens while preserving prompt structure. The LLM can still process the request without seeing actual sensitive values.
RecommendedCompletely block prompts containing high-risk data like credentials or API keys. Immediately alert security teams for investigation.
High SecurityAllow the prompt but log the sensitive data detection for audit purposes. Useful for building baseline understanding of data flows.
Audit ModeNotify users when sensitive data is detected and ask for confirmation before proceeding. Educates users while maintaining productivity.
User AwarenessEncrypt sensitive data and store securely. Replace with reference tokens that can be resolved later if needed for audit.
EnterpriseDefine custom detection patterns and actions for your organization's unique data types and security requirements.
FlexibleOur AI understands context, not just patterns. Distinguish between a phone number in a signature vs. customer PII with high accuracy.
Scan text, PDFs, Word documents, spreadsheets, and images. Extract and analyze content from any format users paste into AI tools.
Protect data in prompts AND responses. Prevent LLMs from returning sensitive information that may have leaked into training data.
Define your own sensitive data patterns. Protect proprietary formats, internal codes, and organization-specific information.
Understand what sensitive data users are trying to share with AI. Identify high-risk departments, use cases, and data types.
Generate audit-ready reports for GDPR, HIPAA, and other regulations. Demonstrate due diligence in protecting sensitive data.
Data types detected
Detection accuracy
Processing latency
Data leaks post-deployment