malware detection

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Published By: Intel Security     Published Date: Apr 06, 2016
This guide examines seven common advanced malware misconceptions and distinguishes between myth and reality.
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advanced malware, targeted malware, layered malware defense, targeted attacks, critical infrastructure threats, forensic analysis, static detection, dynamic detection
    
Intel Security
Published By: Intel Security     Published Date: Apr 06, 2016
Threat intellegence can even up the battle between attackers and defenders. This 31 page report from Securosis defines Threat Intellegence and discusses how you can leverage threat intelligence to shorten the window between compromise and detection.
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advanced malware, targeted malware, layered malware defense, targeted attacks, critical infrastructure threats, forensic analysis, static detection, dynamic detection
    
Intel Security
Published By: IBM     Published Date: Dec 01, 2014
With the introduction of sophisticated threats such as advanced phishing and malware, authentication can become less effective. Authentication methods can be bypassed by fraudsters and traditional risk-based authentication solutions can cause many users to be unnecessarily challenged and disrupted, yet do not manage to reduce fraud. As fraud rises, there is a strong need for fraud tools that can detect account takeover and fraudulent transactions. IBM® Security Trusteer™ Pinpoint Criminal Detection software offers a next generation approach that helps address the challenges of traditional risk engines.
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fraud detection, cybercrime, cyber threat, malware, security
    
IBM
Published By: IBM     Published Date: Mar 11, 2015
The primary approaches used to fight advanced threats over the past several years simply aren’t effective. Traditional methods such as user education, vulnerability patching, and malware detection have failed to protect enterprises against the current threat landscape. Attackers continuously develop sophisticated tactics and evasion techniques to bypass the latest protection methods, requiring the security industry to find a different approach to malware protection. Trusteer has pioneered a new cybercrime prevention approach that provides unparalleled protection against spear-phishing, drive-by downloads and advanced, information-stealing malware.
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ibm, malware detection, cybercrime prevention, it security solutions, security
    
IBM
Published By: Cisco     Published Date: Aug 24, 2015
The Cisco 2015 Midyear Security Report examines these intersecting challenges while also providing updates on some of the most compelling threats. Using research by our experts, it provides an overview of the major threats observed in the first half of 2015. This report also explores likely future trends and offers advice for small, midsize, and enterprise organizations that seek security solutions and services.
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malware, network defenses, detection, security gaps, threat defenses, trends, networking, security
    
Cisco
Published By: Cisco     Published Date: Dec 19, 2016
NSS Labs performed an independent test of the Cisco Firepower 8120 with NGIPS v6.0 and Advanced Malware Protection v5.3.2016071117. The product was subjected to thorough testing at the NSS facility in Austin, Texas, based on the Breach Detection Systems (BDS) Test Methodology v3.0, available at www.nsslabs.com. This test was conducted free of charge and NSS did not receive any compensation in return for Cisco’s participation.
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Cisco
Published By: IBM     Published Date: Aug 08, 2014
Cybercrime prevention needs to reach beyond fraud prevention. Organizations also need to consider deployment costs, management complexity, impact to customers and regulatory compliance. This document examines seven best practices for achieving effective, sustainable cybercrime prevention.
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fraud prevention, malware detection, threat intelligence, cybercrime, technology, internet security, intrusion detection, intrusion prevention
    
IBM
Published By: Damballa     Published Date: Apr 14, 2014
Learn about the industry’s leading solutions for finding advanced threats and see how the right network security system will help your organization identify security threats on the network and respond to individual threats relative to their danger to the network.
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malware, threats, security, network based intelligence, detection, network security, threats
    
Damballa
Published By: Damballa     Published Date: Apr 14, 2014
Learn the 6 shortcomings of security sandboxing and see what solutions your organization should be utilizing to detect and protect against advanced threats.
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malware, threats, security, network based intelligence, detection, security sandboxing, virtual execution, network vulnerabilty
    
Damballa
Published By: Damballa     Published Date: Apr 14, 2014
Learn about the new ways to detect advanced threats and see how you can integrate big data intelligence to enable breach prevention.
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malware, threats, security, network based intelligence, detection, big data, breach prevention, malware analysis
    
Damballa
Published By: Damballa     Published Date: Apr 14, 2014
Learn how to better detect signs of malware on your network and how to protect your organization from threats.
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malware, threats, security, network based intelligence, detection
    
Damballa
Published By: Damballa     Published Date: Oct 03, 2014
The Need for Certainty and Automation in Network Security – Damballa Failsafe with HP TippingPoint: ESG believes this may be the most effective means for reducing risk and combatting advanced malware attacks. This paper reviews how Damballa and HP’s joint solution can limit the possibility of additional infections, potential and actual damage caused by infections, and the possibility of data exfiltration: • Damballa Failsafe provides rapid detection with certainty so you can automate response based on confidence in True Positives • HPTipping Point can automatically take action against devices presented by Failsafe’s case of evidence
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damballa, esg lab, hp tippingpoint, arcsight, network security, failsafe, reducing risk, malware attacks
    
Damballa
Published By: Secure Computing     Published Date: Aug 21, 2009
This paper outlines the types of threats that leverage the Internet as a means of delivery and the risks that they pose to your organization. Learn the key drivers of a corporate security policy and how you can protect against HTTP-based threats using Web filtering as part of a multi-layered content security strategy.
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security, anti spyware, malware prevention, malware, access control, hacker detection, internet security, security management
    
Secure Computing
Published By: 8e6 Technologies     Published Date: Jan 12, 2007
Add spyware to the list of urgent security concerns. With resources already stretched thin in fighting viruses and stopping spam, companies now also have to defend against a threat that strikes silently and does much of its damage before it’s even detected.
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spyware, anti spyware, malware, vulnerability management, anti virus, virus, viruses, hipaa compliance
    
8e6 Technologies
Published By: ESET, LLC.     Published Date: Jan 18, 2011
Read about how ESET NOD32 Antivirus 4.2.64.12 extends its unbroken run of VB100 success for yet another month!
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eset, nod32 antivirus 4.2.64.12, vb100 certification, malware, rap test, detection, anti spam, anti spyware
    
ESET, LLC.
Published By: FireEye     Published Date: Feb 28, 2014
If I were to boil down these survey results to a single sentence, it would be this: To keep pace with today’s advanced threats, incident response teams need tools and techniques that give them greater speed, accuracy and insight.
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fireeye, incident response, greater speed, greater accuracy, advanced threats, response teams, detect malware, persistent threats
    
FireEye
Published By: Cyveillance     Published Date: Jun 20, 2014
Phishing is defined by the Financial Services Technology Consortium (FSTC) as a broadly launched social engineering attack in which an electronic identity is misrepresented in an attempt to trick individuals into revealing personal credentials that can be used fraudulently against them. In short, it’s online fraud to the highest degree. Although it’s been around for years, phishing is still one of the most common and effective online scams. The schemes are varied, typically involving some combination of spoofed email (spam), malicious software (malware), and fake websites to harvest personal information from unwitting consumers. The explosive rise of mobile devices, mobile applications, and social media networks has given phishers new vectors to exploit, along with access to volumes of personal data that can be used in more targeted attacks or spear phishing. The fact that phishing attacks are still so common highlights their efficacy and reinforces the need to implement comprehensive phishing and response plans to protect organizations. An effective phishing protection plan should focus on four primary areas: Prevention, Detection, Response, and Recovery. High-level recommendations for each of the four areas are outlined in this whitepaper.
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cyveillance, phishing, security, cyberattacks, cybercriminals, threats
    
Cyveillance
Published By: Intel Security     Published Date: Oct 20, 2015
Success of an effective threat defense strategy.
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malware detection, data analytics, dynamic sandboxing, static analytics, zero-day malware, comprehensive threat protection, fast detection, malware analysis
    
Intel Security
Published By: IBM     Published Date: Oct 26, 2017
These days, fraudsters have it easier than ever. The volume of devices commonly in use and the numbers of applications and websites accessed daily have grown so large so fast that organizations can be overwhelmed in trying to protect their resources and their users. The result? Innocent—but sometimes devastating—errors. An organization may deploy only partial measures to protect against threats. And users may actively work around protection to avoid cumbersome security procedures.
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malware detection, fraud protection technology, user behavior, threat intelligence, fraud indicators
    
IBM
Published By: Gigamon     Published Date: May 23, 2019
A new report from Gigamon ATR helps security practitioners understand how Emotet, LokiBot and TrickBot traversed enterprise networks without detection in 2018. It particularly focuses on the malwares’ command and control (C2) and lateral movement, as these behaviors expose opportunities to observe network traffic, discover these threats and reduce risk. The goal: shorter mean time to detection and response, a more mature security program and a balanced approach to mitigating risk.
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Gigamon
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