What You Will Learn:
This document will identify the essential capabilities you need in an advanced malware protection solution, the key questions you should ask your vendor, and shows you how Cisco combats today’s advanced malware attacks using a combination of four techniques:
• Advanced analytics
• Collective global security threat intelligence
• Enforcement across multiple form factors (networks, endpoints, mobile devices, secure gateways, and virtual systems)
• Continuous analysis and retrospective security
What You Will Learn:
Over the years we’ve all heard claims of simple, seemingly magical solutions to solve security problems, including the use of sandboxing technology alone to fight advanced malware and targeted threats.
This paper explores:
• Where sandboxing technology stands today
• Why it fails to meet the needs of organizations
• What’s needed for effective malware analysis
Advanced persistent threats (APTs) are stealthier and more spiteful than ever. Sophisticated techniques are used to quietly breach organizations and deploy customized malware, which potentially remains undetected for months. Such attacks are caused by cybercriminals who target individual users with highly evasive tools. Legacy security approaches are bypassed to steal sensitive data from credit card details to intellectual property or government secrets. Traditional cybersecurity solutions, such as email spam filters, anti-virus software or firewalls are ineffective against advanced persistent threats. APTs can bypass such solutions and gain hold within a network to make organizations vulnerable to data breaches.
Published By: Symantec
Published Date: Jul 09, 2017
This paper describes how malware is evolving, how it functions, and how it can be identified, neutralized, and blocked by what we refer to as cloud generation malware analysis, which is available as a robust enterprise cloud service. Let’s start with how the blizzard of advanced malware alarms is affecting IT security teams.
A significant challenge for many organizations has been enabling their analysts to find the "unknown
unknown." Whether that unknown is malware lurking within the enterprise or within slight variations in
fraudulent transactions, the result has been the same: enterprises continue to fall victim to cybercrime.
IBM is addressing this challenge with IBM i2 Enterprise Insight Analysis. By pairing multi-dimensional
visual analysis capabilities with powerful analytics tools, IBM is giving the analyst team an effective
early-detection, cyberintelligence weapon for its arsenal.
Cisco Advanced Malware Protection (AMP) offers an integrated, comprehensive approach to endpoint security. Continuous analysis and telemetry features keep its finger on the pulse of network anomalies, and all suspicious activity is investigated. Contextual reporting highlights trends for administers, helping them reassess network architecture to close vulnerable points of entry. Also important is its flexible deployment, which makes it simple for any organization to tailor its endpoint security.
The Modern Malware Review presents an analysis of 3 months of malware data derived from more than 1,000 live customer networks using WildFire™ (Palo Alto Networks™ feature for detecting and blocking new and unknown malware). The review focuses on malware samples that were initially undetected by industry-leading antivirus products.
Published By: FireEye
Published Date: Mar 05, 2014
From sophisticated new forms of malware to nation-state sponsored attacks and the advanced persistent threat, cybersecurity incidents have evolved at a rapid pace and are taking down entire networks, successfully stealing sensitive data and costing organizations millions to remediate.
In this white paper this report, you'll receive a comprehensive overview of survey results and expert analysis on:
The top security threats for global organizations in 2013;
The largest gaps in organization's detection and response to threats;
How these gaps will be filled in the coming year - new staff, tools or services;
What organizations must do to stay ahead of these advanced threats.
Published By: Mimecast
Published Date: Jan 03, 2017
Mimecast has detected and blocked a dangerous new campaign that uses social engineering and advanced sandbox evasion techniques to deliver stealthy malware.
This Email Security Advisory from Mimecast offers:
- Detailed attack analysis
- Mimecast viewpoint - reduce sandbox reliance
- Weaponized attachments - prevention and recommendations
Malware detection and cloud services are two areas of continuing disparity among SWG vendors. Our market analysis of the vendors highlights key differences in these capabilities and other key functions.
Large organizations can no longer rely on preventive security systems, point security tools, manual processes, and hardened configurations to protect them from targeted attacks and advanced malware.
Henceforth, security management must be based upon continuous monitoring and data analysis for up-to-the-minute situational awareness and rapid data-driven security decisions. This means that large organizations have entered the era of data security analytics.
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When it comes to fighting modern malware, there is no “silver bullet” that can guard against every threat every time. That’s why McAfee takes a different approach. We combine multiple layers of advanced malware protection, detection, and correction technologies into a single endpoint defense fabric. To keep up with cyberthreat innovation, effective detection and analysis requires new state-of-the-art anti-malware technologies: Real Protect and Dynamic Application Containment, complemented by the McAfee® Advanced Threat Defense sandbox. Find out how these tools work together to systematically protect against the most dangerous malware threats.
Machine learning offers the depth, creative problem-solving capabilities, and automation to help security organizations gain significant ground against attackers. It’s a powerful tool for processing massive amounts of data for the purpose of malware classification and analysis, especially for unknown threats. Through supervised learning, human researchers can continually develop new training models that expand the understanding and competency of machine learning systems.
The status quo approach of collecting more logs from more sources won't help in detecting and responding to advanced threats. Logs are inherently limited in the level security visibility that they provide. Consider a new way of looking at SIEM.
To develop the visibility, agility and speed to deal with advanced threats, security information and event management (SIEM) systems need to evolve into a central nervous system for large-scale security analytics.
Sophisticated advanced targeted malware requires a sophisticated approach. This solution brief explains how to defend your organization with a comprehensive, layered approach that identifies, contains, and remediates these insidious threats.
Smart and malicious advanced malware is targeted stealthy, evasive, and adaptive. Sandboxing and other stand-alone products can't do the job on their own. This editorial brief explains why you need an arsenal of layered, integrated defenses to protect against these sophisticated threats.
As malware becomes ever more sophisticated and evasive, new technologies are emerging to uncover threats no matter how well they’re camouflaged. This paper proposes a logical design strategy for dynamic malware analysis that optimizes detection effectiveness, efficiency, and economics.