Philo-AD

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Anomaly Pattern Detection Solution

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Applies Deep learning artificial intelligence technology to effectively monitor suspicious behaviors and patterns from internal network as well as identify external threats.

The process is in real-time, and it supports instant update feature to maximize system reliability.

Since buying and running a computing power necessary to implement deep learning can be cost prohibitive, Ellexi offers monthly subscription based services for customers. 

Traditional AI-based solutions

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​ Learn after finding abnormal data one by one

Philo-AD

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After learning the normal data first
​ Detect the part out of range as abnormal data

Minimizing progressive false positives using
a combination of deep neural networks and knowledge-based methods

The learning period, application period and cost can be reduced by up to 50%, and unknown risk factors can be identified

Features

Convenience

Assume every data is ‘Normal’, no tagging or labeling necessary

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Precision

Gradually minimize false positive issues with anomaly pattern storage

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Versatile

Customizable solution since it has been developed not just for a specific domain

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Practical

Using technology that is required before applying the applied Neural network model by reinforcement learning, which is being actively researched

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No Expert

No need of experts to generate rules by consulting, therefore minimize time and cost for deployment

Dashboard

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Explainable

Explaining the reason and the cause of suspicious patterns (Anomalies)

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Auto Learning

Automatically collects data-set for automated learning

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Monitoring & Graph

Graphical presentation of monitoring, learning and verification process
Analytic graphic presentation of anomalies

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Application

Finance

FDS

Data Collection

Analysis/Detection

Monitorting

SME Network Security

Web/Log analysis

Anomaly Detection

APT

ESM/IDS/IPS/DRM

Smart Factory

Process Management

Energy Management

Quality Analysis

Predictive Maintainance

Case Studies

MONITECH

AI-based welding monitoring system for welding quality of EV batteries

7 month Development | 4 Professionals Manpower

KT RND Center

KT.com Web log Anomaly Pattern Detection System for Netflow

4 month Development | 3 Professionals Manpower