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TRAPMINE ThreatScore Machine Learning Engine Malware Detection Certification
ThreatScore is a machine learning-powered malware detection engine, a part of TRAPMINE which is an endpoint protection platform combining proven technologies such as machine learning, behaviour monitoring and endpoint deception techniques.
This assessment measured the protection capabilities of TRAPMINE ThreatScore static machine learning (ML) engine.
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Online Banking Certification – Q1 2018
- 12 Applications Tested
- 68 In-the-Wild Financial malware samples
- 1 Live Botnet
- 1 Simulated Attack
- Operating System: Windows 10 x64, Windows 7 x64
- Browser: IE, Edge
Online Banking Certification – Q4 2017
- 18 Applications Tested
- 95 In-the-Wild Financial malware samples
- 1 Live Botnet
- 1 Simulated Attack
- Operating System: Windows 10 x64, Windows 7 x64
- Browser: Mozilla, Chrome
Android Efficacy Assessment – Q2 2018
- 9 AV applications tested
- 233 In-the-Wild samples
- Operating System: Android 6.0
- Two real-life scenarios
Case Study: Webroot
Webroot has worked with MRG Effitas over the past several years due to their unique capacity to test efficacy functionality that goes beyond simply blocking a threat. While Effitas does understand that prevention is important, they were the first to introduce testing that looked at detection of specific malicious behaviors by using malware simulation tools to replicate what behaviors were being encountered in the wild.
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MRG Effitas @ NOPcon
NOPcon is a non-profit hacker conference. It is the only geek-friendly international hacker conference without sales pitches in Turkey. The conference aims to learn and exchange ideas and experiences between …
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