VMRay announced the release of new Machine Learning-based
capabilities for its flagship VMRay Platform, helping enterprise security teams
detect and neutralize novel malware and phishing threats. Recognized as the
gold standard for advanced threat detection and analysis, the high-fidelity
threat data used by VMRay to train and evaluate its Machine Learning system is
both highly accurate and relevant, allowing customers to detect threats such as
zero-day malware which were previously thought to be undetectable.
"To get the best out of AI, you need a carefully arranged combination of
Machine Learning and other cutting-edge technologies. Because the value and
efficacy of each ML utilization is dependent on how you train and evaluate the
model: namely, the quality of the inputs and the expertise of the team," said
Carsten Willems, co-founder and CEO of VMRay. "The data that you use to train
the model and evaluate the accuracy of its predictions must be accurate,
noise-free, and relevant to the task at hand. This is why Machine Learning can
only add value when it's based on an already advanced technology platform with
outstanding detection capabilities. Our approach is to use ML together with our
best-of-breed technologies to enhance detection capabilities to perfection, by
combining the best of two worlds."
Today's threat landscape is a dynamic one, evolving by the day with attacks
growing in complexity, scale and stealth. Since late detection and response is
among the most important problems that cause huge costs, it's more critical
than ever that security teams can rapidly identify and stop these threats at
the initial point of entry, before a minor incident cascades into a full-blown
data breach. Whereas conventional signature and rule-based heuristics are
unable to detect unknown or sophisticated threats that use advanced evasive
techniques, the VMRay Platform is able to detonate a malicious file or
URL in a safe environment, observe and document the genuine behavior of the
threat as the threat is unaware that it's being observed.
Four of the top five global technology enterprises, three of the "Big 4"
accounting firms, and more than 50 government agencies across 17 countries
today rely on VMRay to supplement their existing security solutions, automate
security operations and thus, accelerate detection and response. Gartner's "Emerging Technologies:
Tech Innovators in AI in Attack Detection" report asserts that the critical requirements
for an AI-based attack detection solution are improved attack detection and
reduced false positives. This latest, ML-enhanced version of VMRay Platform
addresses these two challenges with unmatched precision, delivering the
following benefits to security teams and threat analysts:
- Improved Threat Detection: Featuring a machine learning model that improves
threat detection capabilities by recognizing additional patterns, the
VMRay Platform brings advanced threat detection to customers' existing
security solutions and covers the blind spots. With this supplementary
approach, VMRay minimizes security risks and maximizes the value that
customers get from their security investment.
- Reduced False Positives: False positives and alert fatigue continue to plague
enterprise SOC teams, hampering their ability to quickly respond to
genuine threats. VMRay Analyzer generates high-fidelity, noise-free
reports that dramatically reduce false positives to keep teams efficient.
Seamless integrations with all the major EDR, SIEM, SOAR, Email Security,
and Threat Intelligence platforms enable full automation, empowering
resource-strapped security teams to focus their energies on higher-value
strategic initiatives.
To try VMRay Analyzer visit:
https://www.vmray.com/try-vmray-products/