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Provides quick technical support and customization for existing operating system.<span style=\"font-weight: bold;\"></span>\r\n<p class=\"align-center\"><span style=\"font-weight: bold;\">What Trapwall Can</span> </p>\r\n<p class=\"align-left\"></p>\r\n<ul><li>Precise analysis of new threats based on file extraction and forensics (transferable)CAN</li><li>Pattern-based detection and detailed threat per-session information via ThreatFlow</li><li>Analysis of service access log based on Advanced Log Generator</li><li>Analysis and report on anomaly signs and behaviors</li><li>Establish a preliminary identification and response strategy for infringement trial group</li></ul>\r\n<p class=\"align-center\"><span style=\"font-weight: bold;\">What is main features of Trapwall</span></p>\r\n<p class=\"align-center\"><span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">All-in-One solution for network intrusion detection, forensics and anomaly analysis</span></span> </p>\r\n<p class=\"align-left\">Delivered attack management solution (Trapwall) as a network forensic expert. Possible to add interface to the solution on top of supporting protocols(HTTPS, FTPS, NFS, SCP Channel). Optimization (NFS, SCP Channel) function for manager transmission to collected PCAP in addition to attack information (Negotiable)</p>\r\n<p class=\"align-center\"><span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Network-based intrusion detection, forensic and anomaly detection</span></span></p>\r\n<p class=\"align-left\">Active threat analysis that collects and analyzes Layer 2 ~ 7 information such as sessions, protocols, and transfer files from traffic. Provides features for ThreatFlow-based rapid threat analysis and PCAP/file-based traffic analysis in detail. Support NIDS based detection policy, ThreatFlow-based statistics, traffic trend & APT attack detection through anomaly analysis.</p>\r\n<p class=\"align-center\"><span style=\"font-weight: bold;\"><span style=\"font-style: italic;\">ThreatFlow: Practical and effective progress of NetFlow</span></span></p>\r\nGenerate data structures using DPI analysis information to determine actual behavior at the application layer<br />Provides entire network analysis environment for L2~L7 including information of L7 analysis, NIDS, file extraction and threats. Provides network threat analysis based on NIDS, threat detection information and fast search function. \r\n<p class=\"align-center\"><span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Provide Display Filter based search UI considering ThreatFlow field-specific characteristics</span></span></p>\r\nProvides network threat analysis based on NIDS, threat detection information and fast search function. Provides matching, mismatch, inequality, Subnet search considering various types of ThreatFlow field characteristics such as integer type and string. Provides combinational search of multiple fields using AND, OR, and parentheses<br /><br />","shortDescription":"Retrospect Incident and Harness the Power of Network Forensics. Advance prevention of intruder attack through managing reconnaissance traffic of local network intruder.\r\n","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":0,"sellingCount":9,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Trapwall","keywords":"","description":"<p class=\"align-center\"><span style=\"font-weight: bold;\">Ensure reliability as a basis for analyzing network infringement of major organizations And functional verification for analysis.</span></p>\r\n<span style=\"font-weight: bold;\">High performance traffic ext","og:title":"Trapwall","og:description":"<p class=\"align-center\"><span style=\"font-weight: bold;\">Ensure reliability as a basis for analyzing network infringement of major organizations And functional verification for analysis.</span></p>\r\n<span style=\"font-weight: bold;\">High performance traffic ext","og:image":"https://old.roi4cio.com/fileadmin/user_upload/amgine.png"},"eventUrl":"","translationId":4283,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":45,"title":"SIEM - Security Information and Event Management","alias":"siem-security-information-and-event-management","description":"<span style=\"font-weight: bold; \">Security information and event management (SIEM)</span> is an approach to security management that combines SIM (security information management) and SEM (security event management) functions into one security management system. \r\n The underlying principles of every SIEM system is to aggregate relevant data from multiple sources, identify deviations from the norm and take appropriate action. At the most basic level, a SIEM system can be rules-based or employ a statistical correlation engine to establish relationships between event log entries. Advanced SIEM products have evolved to include user and entity behavior analytics (UEBA) and security orchestration and automated response (SOAR). \r\nThe acronyms SEM, SIM and SIEM have sometimes been used interchangeably, but generally refer to the different primary focus of products:\r\n<ul><li><span style=\"font-weight: bold;\">Log management:</span> Focus on simple collection and storage of log messages and audit trails.</li><li><span style=\"font-weight: bold;\">Security information management (SIM):</span> Long-term storage as well as analysis and reporting of log data.</li><li><span style=\"font-weight: bold;\">Security event manager (SEM):</span> Real-time monitoring, correlation of events, notifications and console views.</li><li><span style=\"font-weight: bold;\">Security information event management (SIEM):</span> Combines SIM and SEM and provides real-time analysis of security alerts generated by network hardware and applications.</li><li><span style=\"font-weight: bold;\">Managed Security Service (MSS) or Managed Security Service Provider (MSSP):</span> The most common managed services appear to evolve around connectivity and bandwidth, network monitoring, security, virtualization, and disaster recovery.</li><li><span style=\"font-weight: bold;\">Security as a service (SECaaS):</span> These security services often include authentication, anti-virus, anti-malware/spyware, intrusion detection, Penetration testing and security event management, among others.</li></ul>\r\nToday, most of SIEM technology works by deploying multiple collection agents in a hierarchical manner to gather security-related events from end-user devices, servers, network equipment, as well as specialized security equipment like firewalls, antivirus or intrusion prevention systems. The collectors forward events to a centralized management console where security analysts sift through the noise, connecting the dots and prioritizing security incidents.\r\nSome of the most important features to review when evaluating Security Information and Event Management software are:\r\n<ol><li><span style=\"font-weight: bold; \">Integration with other controls:</span> Can the system give commands to other enterprise security controls to prevent or stop attacks in progress?</li><li><span style=\"font-weight: bold; \">Artificial intelligence:</span> Can the system improve its own accuracy by through machine and deep learning?</li><li><span style=\"font-weight: bold; \">Threat intelligence feeds:</span> Can the system support threat intelligence feeds of the organization's choosing or is it mandated to use a particular feed?</li><li><span style=\"font-weight: bold; \">Robust compliance reporting:</span> Does the system include built-in reports for common compliance needs and the provide the organization with the ability to customize or create new compliance reports?</li><li><span style=\"font-weight: bold; \">Forensics capabilities:</span> Can the system capture additional information about security events by recording the headers and contents of packets of interest? </li></ol>\r\n\r\n\r\n","materialsDescription":"<h1 class=\"align-center\"> Why is SIEM Important?</h1>\r\nSIEM has become a core security component of modern organizations. The main reason is that every user or tracker leaves behind a virtual trail in a network’s log data. SIEM software is designed to use this log data in order to generate insight into past attacks and events. A SIEM solution not only identifies that an attack has happened, but allows you to see how and why it happened as well.\r\nAs organizations update and upscale to increasingly complex IT infrastructures, SIEM has become even more important in recent years. Contrary to popular belief, firewalls and antivirus packages are not enough to protect a network in its entirety. Zero-day attacks can still penetrate a system’s defenses even with these security measures in place.\r\nSIEM addresses this problem by detecting attack activity and assessing it against past behavior on the network. A security event monitoring has the ability to distinguish between legitimate use and a malicious attack. This helps to increase a system’s incident protection and avoid damage to systems and virtual property.\r\nThe use of SIEM also helps companies to comply with a variety of industry cyber management regulations. Log management is the industry standard method of auditing activity on an IT network. SIEM management provides the best way to meet this regulatory requirement and provide transparency over logs in order to generate clear insights and improvements.\r\n<h1 class=\"align-center\">Evaluation criteria for security information and event management software:</h1>\r\n<ul><li>Threat identification: Raw log form vs. descriptive.</li><li>Threat tracking: Ability to track through the various events, from source to destination.</li><li>Policy enforcement: Ability to enforce defined polices.</li><li>Application analysis: Ability to analyze application at Layer 7 if necessary.</li><li>Business relevance of events: Ability to assign business risk to events and have weighted threat levels.</li><li>Measuring changes and improvements: Ability to track configuration changes to devices.</li><li>Asset-based information: Ability to gather information on devices on the network.</li><li>Anomalous behavior (server): Ability to trend and see changes in how it communicates to others.</li><li>Anomalous behavior (network): Ability to trend and see how communications pass throughout the network.</li><li>Anomalous behavior (application): Ability to trend and see changes in how it communicates to others.</li><li>User monitoring: User activity, logging in, applications usage, etc.</li></ul>\r\n\r\n","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_SIEM.png"},{"id":467,"title":"Network Forensics","alias":"network-forensics","description":" Network forensics is a sub-branch of digital forensics relating to the monitoring and analysis of computer network traffic for the purposes of information gathering, legal evidence, or intrusion detection. Unlike other areas of digital forensics, network investigations deal with volatile and dynamic information. Network traffic is transmitted and then lost, so network forensics is often a pro-active investigation.\r\nNetwork forensics generally has two uses. The first, relating to security, involves monitoring a network for anomalous traffic and identifying intrusions. An attacker might be able to erase all log files on a compromised host; network-based evidence might therefore be the only evidence available for forensic analysis. The second form relates to law enforcement. In this case analysis of captured network traffic can include tasks such as reassembling transferred files, searching for keywords and parsing human communication such as emails or chat sessions.\r\nTwo systems are commonly used to collect network data; a brute force "catch it as you can" and a more intelligent "stop look listen" method.\r\nNetwork forensics is a comparatively new field of forensic science. The growing popularity of the Internet in homes means that computing has become network-centric and data is now available outside of disk-based digital evidence. Network forensics can be performed as a standalone investigation or alongside a computer forensics analysis (where it is often used to reveal links between digital devices or reconstruct how a crime was committed).\r\nMarcus Ranum is credited with defining Network forensics as "the capture, recording, and analysis of network events in order to discover the source of security attacks or other problem incidents".\r\nCompared to computer forensics, where evidence is usually preserved on disk, network data is more volatile and unpredictable. Investigators often only have material to examine if packet filters, firewalls, and intrusion detection systems were set up to anticipate breaches of security.\r\nSystems used to collect network data for forensics use usually come in two forms:\r\n<ul><li>"Catch-it-as-you-can" – This is where all packets passing through a certain traffic point are captured and written to storage with analysis being done subsequently in batch mode. This approach requires large amounts of storage.</li><li>"Stop, look and listen" – This is where each packet is analyzed in a rudimentary way in memory and only certain information saved for future analysis. This approach requires a faster processor to keep up with incoming traffic.</li></ul>","materialsDescription":" <span style=\"font-weight: bold;\">Why is network forensics important?</span>\r\nNetwork forensics is important because so many common attacks entail some type of misuse of network resources.\r\n<span style=\"font-weight: bold;\">What are the different ways in which the network can be attacked?</span>\r\nAttacks typically target availability confidentiality and integrity. Loss of any one of these items constitutes a security breach.\r\n<span style=\"font-weight: bold;\">Where is the best place to search for information?</span>\r\nInformation can be found by either doing a live analysis of the network, analyzing IDS information, or examining logs that can be found in routers and servers.\r\n<span style=\"font-weight: bold;\">How does a forensic analyst know how deeply to look for information?</span>\r\nSome amount of information can be derived from looking at the skill level of the attacker. 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