HEaaN Private AI

We makes it possible to analyze and utilize data while being securely protected

HEaaN Private AI

As the use of data in various industries such as artificial intelligence (AI), personalization service, and My Data increases, risks from hackers and the number of legal privacy regulations are increasing. HEaaN.AI is a homomorphic encryption-based data analysis solution that can analyze and utilize data while protecting it, safely processing various types of information.

Features

  • An analysis solution that can protect and utilize data at the same time..

In addition to data storage and transmission, analysis and utilization are performed in an encrypted state

  • Supports various analysis techniques.

    Support various data analysis techniques such as statistical analysis and machine learning/AI

  • Minimize adoption/operational costs.

    Minimize infrastructure/system cost for data security
    Reduce TCO by using a public cloud for sensitive information processing

  • The world’s highest data analysis speed.

    World’s best data analysis speed through HEaaN Library linkage

Expected Effect

  • Differentiate services through reliability.

    It is possible to process customer’s sensitive data such as finance / health / medical / genomic data without exposing privacy

  • Minimize data leakage problems due to hacking.

    Homomorphic encryption technology processes all data in an encrypted state, minimizing the attack surface

  • Minimize legal risks associated with data utilization.

    It minimizes legal risks that may arise from data utilization

Implementation

HEaaN Homomorphic Analytics

NAVER CLOUD, CryptoLab and Seoul National University Industrial & Mathematical Data Analytics Research Center have collaborated to launch HEaaN Homomorphic Analytics, an easy way to use homomorphic encryption on NAVER CLOUD PLATFORM. You can utilize and analyze sensitive information in the public cloud.

  • With homogeneous encryption, data leakage is fundamentally blocked.

  • Insights can be derived through statistical analysis and machine learning.

  • Applicable to industries with strict data protection regulations.

  • You can use it easily even if you do not know about homomorphic encryption.

How to analyze supporting data

Supported Platform

Statistics

Mean, variance, maximum, minimum, covariance, correlation coefficient, coefficient of variation, skewness, kurtosis, range, quartile, etc.

Machine Learning/AI Inference

Logistic/Linear Regression, Decision Tree, Random Forest, XGBoost, Multi Layer Perceptron, Sentimental Analysis

Client (Agent for data preprocessing/encryption, decryption/verification)

Windows, MacOS, Linux, Android, iOS

Machine Learning/AI Learning

Logistic/Linear regression, Transfer Learning

Server (Compute)

Linux, IMB z/OS, AWS, NCP, Azure, etc.