Solution

Machine Learning on
Encrypted Data

Perform computation and analytics on encrypted data without decryption. Results are accurate. Sensitivity is preserved. No decryption keys needed in the compute environment.

Live in 5G Networks

Cryptographically Proven

Production-Ready

How Fully Homomorphic Encryption Works

1Encrypt Data

Data is encrypted with a key. The ciphertext is sent to compute environment. Key never leaves the owner.

2Compute

Computation happens on ciphertext in the untrusted environment. No decryption happens during processing.

3Decrypt

Encrypted result is sent back. Owner decrypts with their private key. Result is identical to plaintext computation.

Why Fully Homomorphic Encryption

Computation on Encrypted Data

Process sensitive data in untrusted environments (cloud) without decryption. The compute service has zero knowledge of the plaintext.

Zero Trust Compute

Don't trust the cloud or the compute service? No problem. Encrypt data, send to compute, get results encrypted. You hold the only decryption key.

Model Confidentiality

Send your ML model encrypted to customers. They evaluate on their plaintext data locally. Model is never exposed.

Regulatory Proof

Cryptographic proof that data was encrypted throughout processing. Satisfies privacy audits with mathematical certainty.

Use Cases

5G Network Analytics

Perform network analytics on encrypted traffic without decrypting sensitive data.

Approach

NWDAF-style ML directly on encrypted network metrics

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Secure ML Training

Train models on encrypted data. Computation happens on ciphertext; results are accurate on plaintext.

Approach

Logistic regression, linear classifiers, and tree-based models on encrypted features

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Proprietary Model Evaluation

Let customers evaluate your machine learning models on their sensitive data without exposing the model.

Approach

Encrypt model, send to customer, customer evaluates on plaintext data locally with encrypted model

Explore→

Process Encrypted Data with Confidence

Let's discuss how FHE can secure your analytics and ML pipelines

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Machine Learning onEncrypted Data

How Fully Homomorphic Encryption Works

1Encrypt Data

2Compute

3Decrypt

Why Fully Homomorphic Encryption

Computation on Encrypted Data

Zero Trust Compute

Model Confidentiality

Regulatory Proof

Use Cases

5G Network Analytics

Secure ML Training

Proprietary Model Evaluation

Process Encrypted Data with Confidence

Loading TeyzSec

Machine Learning onEncrypted Data

How Fully Homomorphic Encryption Works

1Encrypt Data

2Compute

3Decrypt

Why Fully Homomorphic Encryption

Computation on Encrypted Data

Zero Trust Compute

Model Confidentiality

Regulatory Proof

Use Cases

5G Network Analytics

Secure ML Training

Proprietary Model Evaluation

Process Encrypted Data with Confidence

Machine Learning on
Encrypted Data

Machine Learning on
Encrypted Data