Understanding Encryption
Learn how quantum-safe encryption protects your data and why it matters for the future of AI security.
📋 What You'll Learn
- • How Kyber512 post-quantum encryption works
- • End-to-end encryption implementation
- • Performance impact and optimization
- • Security benefits over traditional methods
Why Quantum-Safe Encryption Matters
Traditional encryption methods like RSA and ECC, while currently secure, will become vulnerable to quantum computers. Quantum-safe encryption, also known as post-quantum cryptography, is designed to resist attacks from both classical and quantum computers.
The Quantum Threat
When large-scale quantum computers become available, they could break RSA-2048 encryption in hours. Organizations need to prepare now with quantum-safe alternatives.
Kyber512: Our Chosen Algorithm
QuantmLayer uses Kyber512, a lattice-based cryptographic algorithm that's part of the NIST Post-Quantum Cryptography Standards. Here's why we chose it:
NIST Standardized
Officially selected by NIST as a standard for post-quantum key encapsulation mechanisms.
High Performance
Optimized for speed with minimal computational overhead compared to other post-quantum algorithms.
How End-to-End Encryption Works
QuantmLayer implements a hybrid encryption approach that combines the security of Kyber512 with the efficiency of symmetric encryption:
- 1
Client-Side Key Generation
Your browser generates a Kyber512 key pair locally
- 2
Data Encryption
Your prompt is encrypted using AES-256-GCM with a quantum-safe wrapped key
- 3
Secure Transmission
Encrypted data travels to our servers without exposing plaintext
- 4
Secure Processing
Data is decrypted in secure enclaves, processed by AI, and immediately re-encrypted
- 5
Response Delivery
Encrypted response is sent back to your client for local decryption
Performance Impact
One of the key concerns with post-quantum cryptography is performance. Here's how QuantmLayer minimizes the impact:
Average encryption overhead
Additional payload size
Processing success rate
Implementation Example
Here's how quantum-safe encryption works in practice with QuantmLayer:
from quantmlayer import SecureGPT
# Initialize with quantum-safe encryption
client = SecureGPT(
api_key="ql_your_api_key",
encryption="kyber512" # Post-quantum safe
)
# Your data is encrypted before transmission
response = client.encrypt_and_query(
prompt="Analyze this sensitive medical data...",
model="gpt-4",
# Additional security options
compliance_mode="hipaa", # Compliance alignment
audit_trail=True, # Full audit logging
retention_policy="none" # Zero data retention
)
# Response includes encryption metadata
print(f"Encryption: {response.metadata.encryption}")
print(f"Overhead: {response.metadata.encryption_time}ms")
print(f"Security Level: {response.metadata.security_level}")
# Your sensitive response, safely decrypted
print(response.content)Security Benefits
Future-Proof Security
Protection against both current and future quantum computer attacks
Zero-Knowledge Architecture
We cannot decrypt your data even if we wanted to - true zero-knowledge design
Compliance Ready
Meet regulatory requirements for data protection and privacy