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CHEQ’s Go-To-Market

intelligence engine

Discover the cybersecurity technology behind

the first Go-to-Market Security engine.

Gartnerイベントで講演中のAndrew Frank氏を撮影した写真

“CHEQ developed advanced bot management tech to reliably distinguish between human and computer-generated activity."

ガートナーの公式ロゴ

Andrew Frank

VP Senior Analyst, Gartner

Behind the AI-powered 

Go-to-Market detection engine

Behind the GTMSec
Intelligence Engine

Detecting and blocking malicious bots

CHEQ’s bot management engine runs advanced techniques to prevent invalid bot activity, uncovering and blocking malicious botnets using advanced fingerprinting and multi-layered security models.

Validating visitors authenticity

CHEQ’s user validation engine performs over 2000 real time browser tests to ensure authenticity and root out human and non human visitors attempting to mask their identity.

Uncovering suspicious behavior

CHEQ’s behavioral analysis engine detect anomalous activity at both the network and individual level, from suspicious scrolling and browsing patterns, to abnormal rates and traffic spikes.

Infographic showing how CHEQ detects and blocks bots, fake users, and invalid traffic from websites

Advanced client and server side techniques

HTTPサーバーを監視し不審な動きや無効トラフィックを検知する仕組みのイラスト

HTTP Techniques

Analyzing server-side signals via the HTTP Protocol

DNSやSTUNを活用して偽装IPや匿名IPを検出する技術の図解

STUN / DNS Techniques

Uncovering masked 
users’ IP addresses

JavaScriptベースの技術を使ってブラウザの正当性とユーザー行動を検証する可視化イメージ

JS Techniques

Challenging users’ browser data with dynamic JavaScript tests

TCPトラフィックを分析しデータ異常や偽装ユーザーを特定するためのアイコン

TCP Techniques

Detecting discrepancies 
in user data

Powered by over
2,000 real-time
cybersecurity tests

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CHEQの不正検知エンジンを表す製品イメージ

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