Endpoint

7/31/2018
10:30 AM
Dark Reading
Dark Reading
Products and Releases
50%
50%

FireEye Brings Machine Learning to Endpoint Security with MalwareGuard

New FireEye machine learning capabilities are trained on real-world data from the front lines to identify and block emerging threats targeting the endpoint.

MILPITAS, Calif., July 31, 2018 – FireEye, Inc. (NASDAQ: FEYE), the intelligence-led security company, today announced the addition of MalwareGuard™ – a new advanced machine learning based detection and prevention engine – to its Endpoint Security solution. MalwareGuard is designed to help detect and block cyber-threats including never-before-seen threats to provide customers an added level of protection to stop attacks and protect customer information, sensitive data, and intellectual property. MalwareGuard is integrated into the FireEye® Endpoint Security agent and is available now for current customers at no additional cost, and via a free trial for other organizations interested in upgrading their endpoint defenses.

Better Data for Better Machine Learning 

FireEye MalwareGuard is the result of a two-year research project from FireEye data scientists and testing in real-world incident responses. The MalwareGuard model is trained using advanced machine learning techniquesto enable MalwareGuard to make intelligent malware classifications on its own and without human involvement. The machine learning model is trained with both public and private data sources, including data gathered from over 15 million endpoint agents, attack analyses based on more than one million hours spent responding to attacks to date, over 200,000 consulting hours every year and adversarial intelligence collected from a global network of analysts that speak 32 languages.

FireEye analyzes hundreds of millions of malware samples resulting in first-hand knowledge of the threat landscape that’s not available to any other organization. The FireEye data science team has real-world experience analyzing cyber-threats and they use FireEye’s unique data to train MalwareGuard to detect new threats that often bypass competitors’ machine learning and signature-based solutions.

Comprehensive Endpoint Security in One Agent

With the addition of MalwareGuard, FireEye Endpoint Security agent now includes four integrated engines: machine learning (MalwareGuard), behavior-based (ExploitGuard™), signature-based (Malware Protection™) and intelligence-based (IOC), to provide a layered defense designed to protect customers from known and unknown threats. These engines are continuously updated with advanced threat intelligence unique to FireEye and designed to keep pace with evolving threats only seen in the wild.

In addition to leading prevention engines, FireEye Endpoint Security includes investigation, detection and response (EDR) capabilities that are designed to enable organizations to rapidly investigate and respond to attacks on the endpoint. This is all included in one lightweight agent and managed through the cloud, on-premises or a hybrid deployment.

“Attackers are constantly innovating and outmaneuvering legacy, signature-based technology,” said John Laliberte, senior vice president of engineering, FireEye. “Reducing the window of time from discovery, to analysis, and deployment of protection is critical to reducing risk in your enterprise. By combining our unique frontline knowledge of the adversaries with our in-house machine learning expertise, we can now better protect our customers against cyber-threats including never-before seen threats by automating the discovery, analysis, and deployment of protection through our endpoint solution.”

New Management Features Simplify Moving from Alert to Fix

In addition to the new machine learning capabilities, FireEye Endpoint Security now includes new features designed to deliver more sophisticated management as well as simplify the process of moving from alert to fix. These include:

  • Policy Manager: enhanced enterprise management makes it easy to enable varying levels of access, allowing administrators to balance the needs of security and performance
  • Alert Workflow Update: provides the necessary context for organizations to rapidly respond to the alerts that matter
  • Cloud Identity and Access Management: enables higher level of authentication for cloud-based deployments

Simplified Security Operations and Seamlessly Add New Hunting Capabilities

FireEye Endpoint Security includes the FireEye Helix™ security operations platform, which integrates security tools and applies threat intelligence, automation and case management to help organizations take control of incidents from alert to fix.

FireEye Endpoint Security also effortlessly works with FireEye Managed Defense™, a managed detection and response (MDR) solution, and offers the ability to add new services like threat hunting without increasing personnel or taxing existing security teams.

Availability

These new FireEye Endpoint Security features are now available in the latest version of FireEye Endpoint Security (4.5). A free trial of FireEye Endpoint Security is available from authorized FireEye partners worldwide. More product information can be found at www.fireeye.com/endpoint.

Comment  | 
Print  | 
More Insights
Comments
Newest First  |  Oldest First  |  Threaded View
It Takes an Average of 3 to 6 Months to Fill a Cybersecurity Job
Kelly Jackson Higgins, Executive Editor at Dark Reading,  3/12/2019
New Mirai Version Targets Business IoT Devices
Dark Reading Staff 3/19/2019
Register for Dark Reading Newsletters
White Papers
Video
Cartoon Contest
Write a Caption, Win a Starbucks Card! Click Here
Latest Comment: LOL  Hope this one wins
Current Issue
5 Emerging Cyber Threats to Watch for in 2019
Online attackers are constantly developing new, innovative ways to break into the enterprise. This Dark Reading Tech Digest gives an in-depth look at five emerging attack trends and exploits your security team should look out for, along with helpful recommendations on how you can prevent your organization from falling victim.
Flash Poll
The State of Cyber Security Incident Response
The State of Cyber Security Incident Response
Organizations are responding to new threats with new processes for detecting and mitigating them. Here's a look at how the discipline of incident response is evolving.
Twitter Feed
Dark Reading - Bug Report
Bug Report
Enterprise Vulnerabilities
From DHS/US-CERT's National Vulnerability Database
CVE-2019-6149
PUBLISHED: 2019-03-18
An unquoted search path vulnerability was identified in Lenovo Dynamic Power Reduction Utility prior to version 2.2.2.0 that could allow a malicious user with local access to execute code with administrative privileges.
CVE-2018-15509
PUBLISHED: 2019-03-18
Five9 Agent Desktop Plus 10.0.70 has Incorrect Access Control (issue 2 of 2).
CVE-2018-20806
PUBLISHED: 2019-03-17
Phamm (aka PHP LDAP Virtual Hosting Manager) 0.6.8 allows XSS via the login page (the /public/main.php action parameter).
CVE-2019-5616
PUBLISHED: 2019-03-15
CircuitWerkes Sicon-8, a hardware device used for managing electrical devices, ships with a web-based front-end controller and implements an authentication mechanism in JavaScript that is run in the context of a user's web browser.
CVE-2018-17882
PUBLISHED: 2019-03-15
An Integer overflow vulnerability exists in the batchTransfer function of a smart contract implementation for CryptoBotsBattle (CBTB), an Ethereum token. This vulnerability could be used by an attacker to create an arbitrary amount of tokens for any user.