Fully Homomorphic Encryption

Compute directly on encrypted data without decryption

32,412x
Faster with Lattica

What is Fully Homomorphic Encryption?

Fully Homomorphic Encryption (FHE) is a breakthrough cryptographic technology that enables computation directly on encrypted data without ever decrypting it. This means you can perform calculations, run AI models, and process queries on encrypted data while maintaining complete privacy.

Encrypt

Encrypt

Data is encrypted before leaving your control

→
Encrypted Compute

Encrypted Compute

Computation happens on encrypted data

→
Decrypt

Decrypt

Only you can decrypt the results

Why FHE Adoption Failed in the Past

Traditional FHE

Too Slow

Execution was too slow to be usable in real systems

For decades, FHE was a theoretical breakthrough that couldn't be used in practice. The computational overhead was simply too high. Running encrypted computations on traditional CPUs meant operations that took milliseconds unencrypted would take hours or days when encrypted.

This performance gap prevented FHE from being adopted for real-world applications, despite its obvious privacy benefits.

The Breakthrough: GPU Acceleration

What Changed

GPUs became better and widely available. This fundamental shift in computing infrastructure enabled faster compute, including encrypted compute.

Encrypted compute is too slow
↓
Encrypted compute becomes viable

CPU-based FHE

Hours/Days

Lattica GPU-accelerated

32,412x Faster

Lattica's Innovation: CUDA for FHE

We rebuilt encrypted compute to run like modern GPU programs

CPU-based FHE

  • ❌ Nested loops over encrypted data
  • ❌ Limited parallelism
  • ❌ Latency grows with problem size
→

Lattica Execution

  • ✅ Single batched kernel
  • ✅ Parallel across all data dimensions
  • ✅ Designed for GPUs and accelerators

Encrypted Data

Lattica changes encrypted data to match GPU memory structures for optimal performance

Encrypted Programs

Lattica compiles encrypted programs to match GPU kernels, enabling massive parallelism

Acceleration Hardware

GPU / TPU / FPGA / ASIC - Lattica orchestrates encrypted execution on any acceleration hardware

Real-World Applications

Encrypted Vector Database

Search and query encrypted data without exposing sensitive information

Encrypted ML Inference

Run AI model inference on encrypted data (non-generative models)

Privacy-Preserving Analytics

Analyze sensitive data across organizations without sharing raw data

Secure Multi-Party Computation

Enable collaboration on sensitive data without trust requirements

Why FHE Matters

True Privacy

Your data never needs to be decrypted, even during computation. This provides the strongest possible privacy guarantee.

No Trust Required

Unlike confidential computing, FHE doesn't require trust in hardware vendors or cloud providers.

Regulatory Compliance

FHE enables compliance with GDPR, HIPAA, and other privacy regulations without compromising functionality.

Cloud Scale

Unlike on-prem solutions, FHE enables cloud-scale processing while maintaining privacy.

Experience Production-Grade FHE

See how Lattica makes Fully Homomorphic Encryption practical for enterprise workloads

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