# Secure Financial Data with Multi-Layer Database Encryption
> Learn how to implement multi-layered database encryption for financial apps, covering file-level, DB-level, and application-level security strategies.

Tags: database-encryption, cyber-security, financial-data-protection, data-privacy, encryption-key-management, pci-dss, information-security
## Database Encryption for Financial Applications
- Presentation by Aryan Kumar Singh for Amity University Online and TCS iON.
- Focuses on securing sensitive transaction records and personal identifiable information (PII).

## Project Objectives
- Secure critical financial databases at file, database, and application levels.
- Implement secure key management and prevent unauthorized access.

## Multi-Layered Security Implementation
- **File System Encryption:** Encrypts raw storage volumes to protect data from physical theft.
- **Database-Level Encryption:** Uses native engine features to protect specific tables and sensitive columns like account balances.
- **Application-Level Encryption:** Logic-based encryption where data is encrypted before reaching the database, ensuring DBAs cannot see raw data.
- **Encryption in Transit:** Uses TLS/SSL tunnels to protect data moving across the network and prevent Man-in-the-Middle attacks.

## Key Management and Performance
- **Key Security:** Separate storage for keys with strict access controls and regular rotation cycles.
- **Optimization:** Selective encryption of high-value data (PII) using AES-256 to minimize latency while maintaining high security standards.

## Conclusion
- Multi-layered defense significantly reduces risk by rendering stolen data useless without keys. A defense-in-depth approach is essential for modern financial cyber security.
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