概述
AI Data Governance & Prompt Optimization - Protect sensitive data and reduce AI costs
PromptPrune automatically detects 55+ types of sensitive data in your AI prompts before you send them, protecting your organization from data leaks and compliance violations:
• Identity & PII: Email, phone, SSN, passport, driver's license, date of birth
• Financial Data: Credit cards, bank accounts, tax IDs, crypto wallets
• Credentials: API keys, passwords, JWT tokens, AWS/Azure/GCP secrets, SSH keys
• India-Specific: Aadhaar, PAN, UPI, IFSC, GSTIN, voter ID, bank accounts
• Infrastructure: IP addresses, database URLs, internal hostnames
• Medical: Patient IDs, medical records (HIPAA compliance)
• Addresses: US/India addresses, postal codes, location data
Meets requirements for:
• GDPR (EU General Data Protection Regulation)
• HIPAA (Health Insurance Portability and Accountability Act)
• PCI-DSS (Payment Card Industry Data Security Standard)
• PDPB-India (Personal Data Protection Bill)
• SOX (Sarbanes-Oxley Act)
• SOC2 (Service Organization Control 2)
Reduce AI API costs by up to 40% with intelligent prompt optimization:
• Real-time token counting for GPT-4, Claude, Gemini, and more
• Smart prompt pruning removes redundant words and filler phrases
• One-click copy optimized prompts
• Works with ChatGPT, Claude, Gemini, Perplexity, and 50+ AI platforms
Privacy-First Architecture
• 100% Local Processing: All detection runs in your browser - no data sent to external servers
• ML-Powered Verification: Uses local AI models (Transformers.js) for accurate detection
• Offline Capable: Works without internet connection after initial setup
• Zero Data Collection: We don't collect, store, or transmit your prompts which are not leaked by you.
Perfect For
• Developers: Protect API keys, credentials, and sensitive code
• Healthcare: HIPAA-compliant AI interactions
• Finance: PCI-DSS compliant financial data handling
• Legal: Secure document analysis and client data protection
• Enterprises: Organization-wide data governance and compliance
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