Ask Anything. Reveal Nothing.

Security Architecture

Mathematically-enforced encrypted inference with zero plaintext exposure. From trust-based to math-based security - cryptographic guarantees, not contractual promises.

From Trust-Based to Math-Based Security

Traditional cloud security relies on contractual agreements, access controls, and perimeter defense. But when data is processed, it must be decrypted - creating an unavoidable exposure point that no policy, VPC, or confidential computing enclave can eliminate.

CypherAI eliminates this exposure entirely. Using TFHE (Torus Fully Homomorphic Encryption), all computation occurs directly on encrypted data. The cloud provider, the model host, and CypherAI itself never see plaintext. The security guarantee is mathematical, not contractual.

Traditional Encryption

Encrypted

Decrypted to Process

Re-encrypted

CypherAI Encrypted Inference

Encrypted

Processed Encrypted

Still Encrypted

Zero plaintext exposure - mathematical guarantee

Why Not Confidential Computing or VPCs?

Confidential Computing (TEEs)

Data is still decrypted inside the enclave. Side-channel attacks, firmware vulnerabilities, and the cloud provider still has physical access. Trust-based, not math-based.

VPC / Isolated Deployments

Data is decrypted during processing. Insiders, admins, and infrastructure operators can access plaintext. Compliance is contractual, not cryptographic.

CypherAI (FHE)

Data is never decrypted. Computation runs on ciphertext. Post-quantum resilient. The cloud provider has zero visibility into underlying values. Mathematical guarantee.

Technical Security Specifications

Feature	Specification
Encryption Standard	Fully Homomorphic Encryption (FHE) - TFHE primary scheme
Supported Schemes	TFHE, BFV, CKKS, Paillier
Security Parameter	128-bit post-quantum resilient security (lattice-based)
Key Management	Customer-managed keys - keys never leave your perimeter
Data Processing	Data is never decrypted by CypherAI, cloud providers, or any third party - mathematical guarantee
Compliance Alignment	Cryptographic enforcement of FIPS 140-2, GDPR, HIPAA, SOC2, and sovereign data mandates
Data Residency	Full control over data location - data sovereignty maintained in encrypted form
LLM Inference	Encrypted prompts, encrypted tensor processing, encrypted outputs - zero plaintext exposure

Proven in Production

Live deployments with defense agencies, global technology leaders, and Tier-1 financial institutions. Mathematically verified by independent security agencies.

GOVERNMENT AGENCY