Event

Meet the CHEQ team at eTail Palm Springs, Feb 23-26 - Booth 103!

Meet the CHEQ team at eTail Palm Springs, Feb 23-26 - Booth 103!

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Threat Intelligence Team

Setting the Intelligence
Standard for the Human-AI Era

Modern digital threats span automated bots, coordinated human abuse, and AI agents operating at scale. CHEQ's Threat Intelligence Team continuously analyzes these patterns in real time, protecting enterprise growth with verified insight.

Securing global enterprises, one domain at a time

700 enterprise customers

1M+ domains monitored

Enterprise threat intelligence, operationalized

We don't just observe the threat landscape, we map it, model it, and embed that intelligence directly into CHEQ's detection engine to protect every customer interaction.

1

We See What Others Miss

Threat intelligence that goes beyond signatures and surface signals. By analyzing 253M+ events across 35M IPs and 15,000+ brands, we identify automation patterns that evade traditional bot detection, including AI agents and residential proxy networks.

2

Behavior Beats Fingerprints

We detect intent through behavior, not just identity. From entropy-based temporal analysis to DOM-level agent forensics, we identify automation by how it behaves, not what it claims to be.

3

The Web Is No Longer Human vs. Bot

We secure the era of hybrid sessions. As AI agents blend into legitimate user sessions, sharing IPs, cookies, and authenticated states, traditional binary classification breaks down. Our detection adapts to this new reality.

4

Detection at Infrastructure Scale

We don’t just flag bad IPs, we expose fraud architecture. From identifying 5,000+ coordinated IPs across 73 subnets to uncovering 24/7 automation patterns with 99% corroboration accuracy, we reveal the network-level mechanics behind abuse.

5

High Confidence, Low Noise

Precision threat intelligence with near-zero false positives. At calibrated thresholds, our entropy-based detection achieves 99%+ corroboration while eliminating common false-positive objections (including shared IPs, NATs, and public infrastructure).

Threat Intelligence at Scale

The data infrastructure and research depth behind every CHEQ enforcement decision.

250 M+

Events processed every 4 hours.

99%

Corroboration rate.

90%

Sampled IPs confirmed bad.

Latest Research & Intelligence Posts

Detecting Automated and Anti-Detect Browsers: A Security Researcher’s Approach

Introduction Automated and anti-detect browsers are increasingly used for credential stuffing, account takeover, ad fraud, scraping, and bypassing security controls. From a defender’s perspective, the

The Cyborg Session: Reversing & Detecting Claude AI Agent Chrome Extension

The Shift to Local Execution Until recently, “Computer Use Agents” (CUAs) were predominantly server-side operations, sandboxed in Virtual Machines within datacenters. While safer in theory,

The Story of TLS Fingerprints

If you spend enough time looking at web traffic, you start to notice that not all HTTPS connections look the same. Even though everything is

When Traffic Never Sleeps: Detecting Bots with Entropy

TL;DR: We used entropy to detect bots by measuring how uniformly their traffic is distributed across hours. Legitimate users sleep; bots don’t. At entropy threshold

AI Agents Initial Insights and Trends 2025

Executive Summary Scope and data context – The insights in this report are derived from analysis of observed traffic across CHEQ’s global network, which secures

Leadership & Research Team

The analysts, researchers, and engineers who define the intelligence behind CHEQ's detection platform.

Asaf Botovsky氏の写真

Asaf Botovsky

Co-founder & CTO
Head of Threat Intelligence Team

Yosi Winred

Director, Research & Innovation

Refael Filippov

Cyber Research

Ram Valsky

Security Research

Amir Zachar

Product Analyst Lead

Chris Grudzinski

Sr. Manager, Data Science Engineering

Allan Miiler

Sr. Software Engineer

Eli Buchris

Product data scientist

Alex Fiori

Data Scientist, Customer Insights

Setting the Intelligence
Standard for the Human-AI Era