Shinhan Bank Winner of the project 'Enhancement of Anomaly Detection Technique in Information Security System.'
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Selected as a solution provider of Electric Power Controlling Network Anomaly Detection and Threat Management System led by Korea Electric Power Knowledge Data Network Co., Ltd.
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The World's first

Innovative Adaptive Defense

Cyber Security Platform

for IT & OT Network

Net Surveillance

Network abnormal behavior detection

  • - New threats / anomalies detection that existing security system can not detect
  • - Web vulnerability detection

Malware Hunter

Unknown malware detection

  • - File feature extraction through static / dynamic analysis
  • - Malware detection and classification

Adaptive Defense

Network Environment Exploration

  • - Observing system environment and establishing the optimal state
  • - Detecting the abnormal system state and selecting the proper protection policy

Explainable AI

Provides statistical analysis of why the AI
model result
was detected as a threat

Adaptive Defense System

Establishes optimal security policies and
real-time responses through AI

IT / OT Network Simultaneous
Threat Detection Platform

Able to detect abnormal behavior in IT & OT network
simultaneously

Why CTI(Cyber Threat Intelligence)?

Why do we introduce the next-generation Cyber Threat Intelligence (CTI)?

We introduce the next-generation CTI platform as the ultimate solution to the world to resolve the limitations of existing cybersecurity systems
which cannot effectively defend against sophisticated and unprecedented
patterns of cyberattacks, such as Advanced Persistent Threats (APTs)
and Zero-Day attacks.

Active investments and research of CTI have been carried out overseas
since 2014. However, Security Information & Event Management (SIEM)
still remains the major enterprise security management system in
Korea.

<Limitations of SIEM, and the increase of market needs>

SIEM produces too many false positives and flood of alerts, imposing
unrealistic alert fatigue on cybersecurity managers. Furthermore, SIEM is
limited in defending against unknown threats. In this regard, there have
been increasing demands for the next-generation enterprise security
management platform.

< Current Domestic and International Market Trends >

Internationally, there have been continuous and rapid increases in M&A (mergers and acquisitions) and investment for threat-intelligence based
corporations. Additionally, there is a remarkable increase in the size of the threat-intelligence market

  1. - The threat-intelligence market recently attracted USD 107 million investment from 8 Corporations. It is anticipated to reach USD 1.6 billion of market share in 2018. This is a marked increase from USD 240 million since 2013.

In 2017, the South Korean government also recognized that these security issues are an urgent challenge at the national level and decided to choose CTI as one of the core source technologies in the realm of information
security in April 2017 and to make full-scale investment in R&D of CTI for
the next three years (2017-2019).

CTILab Co., Ltd. has responded to all changes in the global market environment and releases the next-generation of CTI platform which is able to detect abnormalities not only in IT network but also in OT Network such as SCADA/ICS.

Net Surveillance

Network abnormal behavior detection

  • - New threats / anomalies detection that existing security system can not detect
  • - Web vulnerability detection

Malware Hunter

Unknown malware detection

  • - File feature extraction through static / dynamic analysis
  • - Malware detection and classification

Adaptive Defense

Network Environment Exploration

  • - Observing system environment and establishing the optimal state
  • - Detecting the abnormal system state and selecting the proper protection policy

DTI (Deep Threat Intelligence)TM

AI based next-generation Cyber Threat Intelligence Platform

World First CTI Platform
Implementing Actionable Intelligence

  • Provides Intelligence Cycle for collecting, analyzing, managing, and sharing threat information
  • Provides fast data processing and Deep Threat Analysis based on real-time Big Data Engine
  • Capable of predicting of potential threats based on risk (risk can be customized) and high accuracy analysis.
  • Provides a tool to extract the most important information about internal and external threats for organization
  • Supports threat information collection through SNS Crawling using an automatic/customized keywords
  • Supports import/export of standardized threat information types (STIX, CyberOS, etc.)
  • Provides a collaborative analysis interface for threat information
  • Provides an integrated intelligence environment for threat response policy and defense strategy

Intelligence Cycle

Collection
Real-time internal threat information collection (Applications, Email, FW,IPS, DDoS logs, etc.)
Real-time external threat information correlation (OS-INT, etc.)
Analysis
Threat Information Processing, Automatic Analysis System and User Analysis with UI
Action
Providing actionable threat information
Providing information security and threat response policy

Explainable AI

Provides statistical analysis of why the AI
model result
was detected as a threat

Adaptive Defense System

Establishes optimal security policies and
real-time responses through AI

IT / OT Network Simultaneous
Threat Detection Platform

Able to detect abnormal behavior in IT & OT network
simultaneously

About Us

The world first AI based Convergence Cyber Threat Intelligence (CTI) Platform Enterprise

CTI Lab CI
Company Name CTILab Co., Ltd.
CEO Henry Cho
Date of Establishment November 2015
Address Rm No. 601-6th floor, Yangjae Innovation Hub
#114, Taebong-ro, Seocho-gu, Seoul, Republic of Korea
Contact TEL. 02.577.1823 / +82-2-577-1823
FAX. 02.577.1822 / +82-2-577-1822

History

2018.10
Won the Project of Shinhan Bank's Enhancement of Anomaly Detection Technique in Information Security System.
2018.07
Won the Development Project of Electric Power Controlling Network Anomaly Detection and Threat Management System led by Korea Electric Power Knowledge Data Network Co., Ltd.
2018.04
Selected as Technology Innovation Development Business Promoting Corporation led by Ministry of SMEs and Startups
2018.01
Selected as Shinhan Future’s Lab Promoting Corporation led by Shinhan Finance Group
2017.11
Selected as a nomination for Vendor Briefing for Korean enterprises from Gartner (Verification in progress to attempt the enlistment for global scale reports such as Magic Quadrant and Cool Vendors)
2017.11
Selected as Yangjae AI Innovation Hub Promoting Corporation led by the Seoul City Government and KAIST
2017.10
Deep-Learning based Abandoned Metal Scrap Categorization & Device patent application (10-2017-0145382)
2017.09
Deep-Learning based Network Anomaly Analysis Technology patent application (10-2017-0114054)
2017.08
Accredited as corporation affiliated research institute
2017.06
Applied for a patent on Deep Learning based Malware Detection System (10-2017-00837779)
2017.05
Won the Convergent Security Technology Development Pilot Project of Korea Internet & Security Agency
2017.03
Selected as Information security experts Promoting Corporation from Korea Internet & Security Agency
2016.12
Completed the Cyber Threat Analysis & Sharing System (CTAS) Development Project of Korea Internet & Security Agency
2016.09
Won approval for the status of Government Authorized Venture Company
2016.07
Won Cyber Threat Analysis & Sharing System (CTAS) Development Project of Korea Internet & Security Agency (in the area of threat Intelligence)
2016.05
Applied for a patent on CTI Platform (Security Threat Intelligence Analysis and Management) patent application
2015.12
Won the development project of SIEM with the core technology of Cyber Threat Intelligence developed by CTILab Co., Ltd. in KOSDAQ-listed professional Cybersecurity enterprise
2015.11
Establishment of CTILab Co., Ltd.

Recruit

We are hiring

AI based Cyber Threat Intelligence (CTI) development specialists

Position

AI Specialist
Applicants must have the following competencies
- Capability in R&D on AI model
- Able to take up challenges and have the tenacity to explore new fields
- Having experience in deep learning model
- Experience in Time Series Analysis Anomaly Behavior model, and CNN model implementation
- Able to understand AI framework such as Keras and Pytorch

Knowledge DB Specialist
Applicants must have the following competencies
- Ability to understand next-generation Knowledge Graph/DB R&D
- Able to take up challenges and have the tenacity to explore new fields
- Capable of implementing mathematical/statistical algorithms using C++, python, etc.
- Competent knowledge in AI framework
- Understanding in Knowledge Graph/DB

Compensation & Benefits

Stock Option, flexible and alternative work arrangements
Lunch/Dinner provided
Partially work remotely (will be expanded)
Rest Space (cafeteria/shower room/nap room)

Application Procedure

Document submission – Interview – Final Screening

Inquiry & Application

recruiting@ctilab.co.kr

Contact us

The world first AI based Convergence Cyber Threat Intelligence (CTI) Platform Enterprise

Location

Address Rm No. 601-6th floor, Yangjae Innovation Hub
#114, Taebong-ro, Seocho-gu, Seoul, Republic of Korea
Contact TEL. 02.577.1823
FAX. 02.577.1822

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