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It is sometimes referred to as &quot;on-demand software&quot;, and was formerly referred to as &quot;software plus services&quot; by Microsoft.\r\n SaaS services is typically accessed by users using a thin client, e.g. via a web browser. SaaS software solutions has become a common delivery model for many business applications, including office software, messaging software, payroll processing software, DBMS software, management software, CAD software, development software, gamification, virtualization, accounting, collaboration, customer relationship management (CRM), Management Information Systems (MIS), enterprise resource planning (ERP), invoicing, human resource management (HRM), talent acquisition, learning management systems, content management (CM), Geographic Information Systems (GIS), and service desk management. SaaS has been incorporated into the strategy of nearly all leading enterprise software companies.\r\nSaaS applications are also known as <span style=\"font-weight: bold;\">Web-based software</span>, <span style=\"font-weight: bold;\">on-demand software</span> and<span style=\"font-weight: bold;\"> hosted software</span>.\r\nThe term &quot;Software as a Service&quot; (SaaS) is considered to be part of the nomenclature of cloud computing, along with Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Desktop as a Service (DaaS),managed software as a service (MSaaS), mobile backend as a service (MBaaS), and information technology management as a service (ITMaaS).\r\nBecause SaaS is based on cloud computing it saves organizations from installing and running applications on their own systems. That eliminates or at least reduces the associated costs of hardware purchases and maintenance and of software and support. The initial setup cost for a SaaS application is also generally lower than it for equivalent enterprise software purchased via a site license.\r\nSometimes, the use of SaaS cloud software can also reduce the long-term costs of software licensing, though that depends on the pricing model for the individual SaaS offering and the enterprise’s usage patterns. In fact, it’s possible for SaaS to cost more than traditional software licenses. This is an area IT organizations should explore carefully.<br />SaaS also provides enterprises the flexibility inherent with cloud services: they can subscribe to a SaaS offering as needed rather than having to buy software licenses and install the software on a variety of computers. The savings can be substantial in the case of applications that require new hardware purchases to support the software.<br /><br /><br /><br />","materialsDescription":"<h1 class=\"align-center\"><span style=\"font-weight: normal;\">Who uses SaaS?</span></h1>\r\nIndustry analyst Forrester Research notes that SaaS adoption has so far been concentrated mostly in human resource management (HRM), customer relationship management (CRM), collaboration software (e.g., email), and procurement solutions, but is poised to widen. Today it’s possible to have a data warehouse in the cloud that you can access with business intelligence software running as a service and connect to your cloud-based ERP like NetSuite or Microsoft Dynamics.The dollar savings can run into the millions. And SaaS installations are often installed and working in a fraction of the time of on-premises deployments—some can be ready in hours. \r\nSales and marketing people are likely familiar with Salesforce.com, the leading SaaS CRM software, with millions of users across more than 100,000 customers. Sales is going SaaS too, with apps available to support sales in order management, compensation, quote production and configure, price, quoting, electronic signatures, contract management and more.\r\n<h1 class=\"align-center\"><span style=\"font-weight: normal;\">Why SaaS? Benefits of software as a service</span></h1>\r\n<ul><li><span style=\"font-weight: bold;\">Lower cost of entry</span>. With SaaS solution, you pay for what you need, without having to buy hardware to host your new applications. Instead of provisioning internal resources to install the software, the vendor provides APIs and performs much of the work to get their software working for you. The time to a working solution can drop from months in the traditional model to weeks, days or hours with the SaaS model. In some businesses, IT wants nothing to do with installing and running a sales app. In the case of funding software and its implementation, this can be a make-or-break issue for the sales and marketing budget, so the lower cost really makes the difference.</li></ul>\r\n\r\n<ul><li><span style=\"font-weight: bold;\">Reduced time to benefit/rapid prototyping</span>. In the SaaS model, the software application is already installed and configured. Users can provision the server for the cloud and quickly have the application ready for use. This cuts the time to benefit and allows for rapid demonstrations and prototyping. With many SaaS companies offering free trials, this means a painless proof of concept and discovery phase to prove the benefit to the organization. </li></ul>\r\n\r\n<ul><li><span style=\"font-weight: bold;\">Pay as you go</span>. SaaS business software gives you the benefit of predictable costs both for the subscription and to some extent, the administration. Even as you scale, you can have a clear idea of what your costs will be. This allows for much more accurate budgeting, especially as compared to the costs of internal IT to manage upgrades and address issues for an owned instance.</li></ul>\r\n\r\n<ul><li><span style=\"font-weight: bold;\">The SaaS vendor is responsible for upgrades, uptime and security</span>. Under the SaaS model, since the software is hosted by the vendor, they take on the responsibility for maintaining the software and upgrading it, ensuring that it is reliable and meeting agreed-upon service level agreements, and keeping the application and its data secure.&nbsp; While some IT people worry about Software as a Service security outside of the enterprise walls, the likely truth is that the vendor has a much higher level of security than the enterprise itself would provide. Many will have redundant instances in very secure data centers in multiple geographies.&nbsp; Also, the data is being automatically backed up by the vendor, providing additional security and peace of mind. Because of the data center hosting, you’re getting the added benefit of at least some disaster recovery. Lastly, the vendor manages these issues as part of their core competencies—let them.</li></ul>\r\n\r\n<ul><li><span style=\"font-weight: bold;\">Integration and scalability.</span> Most SaaS apps are designed to support some amount of customization for the way you do business. SaaS vendors create APIs to allow connections not only to internal applications like ERPs or CRMs but also to other SaaS providers. One of the terrific aspects of integration is that orders written in the field can be automatically sent to the ERP. Now a salesperson in the field can check inventory through the catalog, write the order in front of the customer for approval, send it and receive confirmation, all in minutes. And as you scale with a SaaS vendor, there’s no need to invest in server capacity and software licenses. </li></ul>\r\n\r\n<ul><li><span style=\"font-weight: bold;\">Work anywhere</span>. Since the software is hosted in the cloud and accessible over the internet, users can access it via mobile devices wherever they are connected. This includes checking customer order histories prior to a sales call, as well as having access to real time data and real time order taking with the customer.</li></ul>\r\n<p class=\"align-left\">&nbsp;</p>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/SaaS__1_.png","alias":"saas-software-as-a-service"},"59":{"id":59,"title":"SCADA - Supervisory Control And Data Acquisition","description":"<span style=\"font-weight: bold; \">SCADA</span> stands for <span style=\"font-weight: bold; \">Supervisory Control and Data Acquisition</span>, a term which describes the basic functions of a SCADA system. Companies use SCADA systems to control equipment across their sites and to collect and record data about their operations. SCADA is not a specific technology, but a type of application. Any application that gets operating data about a system in order to control and optimise that system is a SCADA application. That application may be a petrochemical distillation process, a water filtration system, a pipeline compressor, or just about anything else.\r\nSCADA solutions typically come in a combination of software and hardware elements, such as&nbsp;programmable logic controllers (PLCs) and remote terminal units (RTUs). Data acquisition in SCADA starts with PLCs and RTUs, which communicate with plant floor equipment such as factory machinery and sensors. Data gathered from the equipment is then sent to the next level, such as a control room, where operators can supervise the PLC and RTU controls using human-machine interfaces (HMIs). HMIs are an important element of SCADA systems. They are the screens that&nbsp;operators&nbsp;use to communicate with the SCADA system.\r\n<p class=\"align-center\"><span style=\"font-weight: bold; \">The major components of a SCADA technology include:</span></p>\r\n<ul><li><span style=\"font-weight: bold;\">Master Terminal Unit (MTU).</span> It comprises a computer, PLC and a network server that helps MTU to communicate with the RTUs. MTU begins communication, collects and saves data, helps to interface with operators and to communicate data to other systems.</li><li><span style=\"font-weight: bold;\">Remote Terminal Unit (RTU).</span> RTU is used to collect information from these sensors and further sends the data to MTU. RTUs have the storage capacity facility. So, it stores the data and transmits the data when MTU sends the corresponding command.</li><li><span style=\"font-weight: bold;\">Communication Network (defined by its network topology).</span> In general, network means connection. When you tell a SCADA communication network, it is defined as a link between RTU in the field to MTU in the central location. The bidirectional wired or wireless communication channel is used for the networking purpose. Various other communication mediums like fiber optic cables, twisted pair cables, etc. are also used.</li></ul>\r\n<p class=\"align-center\"><span style=\"font-weight: bold; \">Objectives of Supervisory Control and Data Acquisition system</span></p>\r\n<ul><li><span style=\"font-weight: bold;\">Monitor:</span> SCADA control system continuously monitors the physical parameters</li><li><span style=\"font-weight: bold;\">Measure:</span> It measures the parameter for processing</li><li><span style=\"font-weight: bold;\">Data Acquisition:</span> It acquires data from RTU, data loggers, etc</li><li><span style=\"font-weight: bold;\">Data Communication:</span> It helps to communicate and transmit a large amount of data between MTU and RTU units</li><li><span style=\"font-weight: bold;\">Controlling:</span> Online real-time monitoring and controlling of the process</li><li><span style=\"font-weight: bold;\">Automation:</span> It helps for automatic transmission and functionality</li></ul>\r\n\r\n","materialsDescription":"<h1 class=\"align-center\">Who Uses SCADA?</h1>\r\nSCADA systems are used by industrial organizations and companies in the public and private sectors to control and maintain efficiency, distribute data for smarter decisions, and communicate system issues to help mitigate downtime. Supervisory control systems work well in many different types of enterprises because they can range from simple configurations to large, complex installations. They are the backbone of many modern industries, including:\r\n<ul><li>Energy</li><li>Food and beverage</li><li>Manufacturing</li><li>Oil and gas</li><li>Power</li><li>Recycling</li><li>Transportation</li><li>Water and waste water</li><li>And many more</li></ul>\r\nVirtually anywhere you look in today's world, there is some type of SCADA monitoring system running behind the scenes: maintaining the refrigeration systems at the local supermarket, ensuring production and safety at a refinery, achieving quality standards at a waste water treatment plant, or even tracking your energy use at home, to give a few examples. Effective SCADA systems can result in significant savings of time and money. Numerous case studies have been published highlighting the benefits and savings of using a modern SCADA software.\r\n<h1 class=\"align-center\">Benefits of using SCADA software</h1>\r\nUsing modern SCADA software provides numerous benefits to businesses, and helps companies make the most of those benefits. Some of these advantages include:\r\n<span style=\"font-weight: bold; \">Easier engineering:</span> An advanced supervisory control application such provides easy-to-locate tools, wizards, graphic templates and other pre-configured elements, so engineers can create automation projects and set parameters quickly, even if they don't have programming experience. In addition, you can also easily maintain and expand existing applications as needed. The ability to automate the engineering process allows users, particularly system integrators and original equipment manufacturers (OEM), to set up complex projects much more efficiently and accurately.\r\n<span style=\"font-weight: bold; \">Improved data management:</span> A high-quality SCADA system makes it easier to collect, manage, access and analyze your operational data. It can enable automatic data recording and provide a central location for data storage. Additionally, it can transfer data to other systems such as MES and ERP as needed. \r\n<span style=\"font-weight: bold; \">Greater visibility:</span> One of the main advantages of using SCADA software is the improvement in visibility into your operations. It provides you with real-time information about your operations and enables you to conveniently view that information via an HMI. SCADA monitoring can also help in generating reports and analyzing data.\r\n<span style=\"font-weight: bold; \">Enhanced efficiency:</span> A SCADA system allows you to streamline processes through automated actions and user-friendly tools. The data that SCADA provides allows you to uncover opportunities for improving the efficiency of the operations, which can be used to make long-term changes to processes or even respond to real-time changes in conditions.\r\n<span style=\"font-weight: bold; \">Increased usability:</span> SCADA systems enable workers to control equipment more quickly, easily and safely through an HMI. Rather than having to control each piece of machinery manually, workers can manage them remotely and often control many pieces of equipment from a single location. Managers, even those who are not currently on the floor, also gain this capability.\r\n<span style=\"font-weight: bold; \">Reduced downtime:</span> A SCADA system can detect faults at an early stage and push instant alerts to the responsible personnel. Powered by predictive analytics, a SCADA system can also inform you of a potential issue of the machinery before it fails and causes larger problems. These features can help improve the overall equipment effectiveness (OEE) and reduce the amount of time and cost on troubleshooting and maintenance.\r\n<span style=\"font-weight: bold;\">Easy integration:</span> Connectivity to existing machine environments is key to removing data silos and maximizing productivity. \r\n<span style=\"font-weight: bold;\">Unified platform:</span>All of your data is also available in one platform, which helps you to get a clear overview of your operations and take full advantage of your data. All users also get real-time updates locally or remotely, ensuring everyone on your team is on the same page.<br /><br />","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/SCADA__-_Supervisory_Control_And_Data_Acquisition.png","alias":"scada-supervisory-control-and-data-acquisition"},"204":{"id":204,"title":"Managed Detection and Response","description":" MDR, which stands for Managed Detection &amp; Response, is an all-encompassing threat detection system, which arose from the need for small/medium-sized organizations who lack resources to be able to monitor their network systems in-house. It provides a cost-effective alternative to SIEM (Security Information and Event Management).\r\nEveryday, the capabilities of attackers get more sophisticated and the volume of alerts becomes overwhelming and unmanageable. In-house teams might struggle to analyze and log data, which makes it harder than ever to determine if these threats are harmful. MDR can put a stop to attacks before they even happen. MDR technology monitors your systems and detects any unusual behavior, whilst our expert team responds to the threats detected within your business.\r\nMDR offers real-time threat intelligence, and is able to analyse behaviour which can be missed by traditional endpoint security technology. MDR also provides rapid identification of known threats, which in turn minimises overall attacks. Having remote incident investigation will minimise damage to your business, and will allow you to get back to work in no time. It’s important to note that using MDR services will allow third party access to your company's data. You need to consider working with a provider who understands and respects your data policy.","materialsDescription":" <span style=\"font-weight: bold;\">What is Managed Detection and Response?</span>\r\nManaged Detection and Response (MDR) is a managed cybersecurity service that provides intrusion detection of malware and malicious activity in your network, and assists in rapid incident response to eliminate those threats with succinct remediation actions. MDR typically combines a technology solution with outsourced security analysts that extend your technologies and team.\r\n<span style=\"font-weight: bold;\">Isn’t that What MSSPs or Managed SIEMs Do?</span>\r\nNo. Managed Security Service Providers (MSSPs) monitor network security controls and may send alerts when anomalies are identified. MSSPs typically do not investigate the anomalies to eliminate false positives, nor do they respond to real threats. This means that abnormalities in network usage are forwarded to your IT personnel who must then dig through the data to determine if there is a real threat and what to do about it.\r\n<span style=\"font-weight: bold;\">Doesn’t My Firewall Protect My Network?</span>\r\nFirewalls and other preventive forms of cybersecurity are very important and effective at preventing basic cyberattacks. However, over the past decade, it has become clear that preventive cybersecurity technologies are not enough to secure an organization’s network. Further, they are yet another source of alerts, log messages, and events that contribute to the “alert fatigue” being universally suffered today. Recent major hacks such as the Marriot Hack of 2018, the Anthem Hack of 2015, and the Target Hack of 2013 demonstrate how easily cybercriminals can breach networks at enterprise organizations to steal millions of credit card numbers, medical records, and other forms of PII/PHI.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Endpoint_Detection_and_Response.png","alias":"managed-detection-and-response"},"223":{"id":223,"title":"Data Access, Analysis, and Delivery Software","description":" Data access, analysis and delivery software are end-user oriented tools for ad hoc data access, analysis and reporting as well as production reporting. These products are most commonly used by information consumers or power users rather than professional programmers.\r\nThe processing and analysis of group data is a flexible, iterative method for processing and analyzing data to efficiently provide predictive analytics solutions and intelligent applications. This allows you to improve learning and teamwork. It contains selected recommendations and structures from Microsoft and other developers in the industry that ensure the successful implementation of data processing and analysis solutions. All this is to help companies take full advantage of their analytics software.","materialsDescription":"<span style=\"font-weight: bold; \">Data access</span>\r\nData access is a generic term referring to a process which has both an IT-specific meaning and other connotations involving access rights in a broader legal and/or political sense. In the former it typically refers to software and activities related to storing, retrieving, or acting on data housed in a database or other repository. Two fundamental types of data access exist:\r\n<ol><li>sequential access (as in magnetic tape, for example)</li><li>random access (as in indexed media)</li></ol>\r\nData access crucially involves authorization to access different data repositories. Data access can help distinguish the abilities of administrators and users. For example, administrators may have the ability to remove, edit and add data, while general users may not even have &quot;read&quot; rights if they lack access to particular information.\r\nHistorically, each repository (including each different database, file system, etc.), might require the use of different methods and languages, and many of these repositories stored their content in different and incompatible formats.\r\nOver the years standardized languages, methods, and formats, have developed to serve as interfaces between the often proprietary, and always idiosyncratic, specific languages and methods. Such standards include SQL (1974- ), ODBC (ca 1990- ), JDBC, XQJ, ADO.NET, XML, XQuery, XPath (1999- ), and Web Services.\r\nSome of these standards enable translation of data from unstructured (such as HTML or free-text files) to structured (such as XML or SQL).\r\nStructures such as connection strings and DBURLs[1] can attempt to standardise methods of connecting to databases.\r\n<span style=\"font-weight: bold; \">A program for data analysis</span>\r\nA data analysis program is a specially developed software that can analyze any information. This is usually a database program. It is within the database that you can store any information in any amount. A functional program allows incoming and stored data to analyze. Software development can be done for any tasks, which means that the program for data analysis can be customized for any activity. If, for example, you have a trade organization, then your data analysis program will analyze products, customers, funds, product balance, and more.\r\n<span style=\"font-weight: bold;\">On-demand software delivery</span>\r\nA type of software delivery service where the software is provided to the customer through a network (such as the Internet) as a service. On-demand software delivery is also called software on-demand. The terms on-demand software and Software as a Service (SaaS) are often used interchangeably.\r\nData access, analysis and delivery software are end-user oriented tools for ad hoc data access, analysis and reporting as well as production reporting.&nbsp; These products are most commonly used by information consumers or power users rather than professional programmers.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Data_Access__Analysis__and_Delivery_Software1.png","alias":"data-access-analysis-and-delivery-software"},"227":{"id":227,"title":"Advanced Analytics Software","description":" <span style=\"font-weight: bold;\">Advanced analytics</span> is a part of data science that uses high-level methods and tools to focus on projecting future trends, events, and behaviors. This gives organizations the ability to perform advanced statistical models such as ‘what-if’ calculations, as well as future-proof various aspects of their operations.\r\nThe term is an umbrella for several sub-fields of analytics that work together in their predictive capabilities.\r\nThe major areas that make up advanced analytics are predictive data analytics, big data, and data mining. The process of advanced analytics includes all three areas at various times.\r\n<span style=\"font-weight: bold;\">Data mining</span> is a key aspect of advanced analytics, providing the raw data that will be used by both big data and predictive analytics. <span style=\"font-weight: bold;\">Big data analytics</span> are useful in finding existing insights and creating connections between data points and sets, as well as cleaning data.\r\nFinally, <span style=\"font-weight: bold;\">predictive analytics</span> can use these clean sets and existing insights to extrapolate and make predictions and projections about future activity, trends, and consumer behaviors.\r\nAdvanced analytics also include newer technologies such as machine learning and artificial intelligence, semantic analysis, visualizations, and even neural networks. Taken together, they help advanced analytics software create an accurate enough canvas to make reliable predictions and generate actionable BI insights on a deeper level.","materialsDescription":"<h1 class=\"align-center\">A list of tips on how to manage the process of building an advanced analytics program</h1>\r\n<ul><li>Start with a proof-of-concept project to demonstrate the potential business value of analytics applications.</li><li>Take training seriously. New data management and analytics skills likely will be needed, especially if big data platforms and tools like SAS advanced analytics tools are involved.</li><li>Develop processes to ensure that business units are ready to act on analytical findings so the work of data scientists and other analysts doesn't go to waste.</li><li>Monitor and assess advanced and predictive analytics software on a regular basis to make sure the data being analyzed is still relevant and the analytical models being run against it are still valid.</li></ul>\r\n<h1 class=\"align-center\">Advanced analytics tools</h1>\r\nThere are a variety of advanced analytics tools to choose from that offer different advantages based on the use case. They generally break down into two categories: open source and proprietary.\r\nOpen source tools have become a go-to option for many data scientists doing machine learning and prescriptive analytics. They include programming languages, as well as computing environments, including Hadoop and Spark. Users typically say they like open source advanced analytics tools because they are generally inexpensive to operate, offer strong functionality and are backed by a user community that continually innovates the tools.\r\nOn the proprietary side, vendors including Microsoft, IBM and the SAS Institute all offer advanced analytics tools. Most require a deep technical background and understanding of mathematical techniques.\r\nIn recent years, however, a crop of self-service analytics tools has matured to make functionality more accessible to business users. Tableau, in particular, has become a common tool. While its functionality is more limited than deeper technical tools, it does enable users to conduct cluster analyses and other advanced analyses.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Advanced_Analytics_Software.png","alias":"advanced-analytics-software"},"465":{"id":465,"title":"UEBA - User and Entity Behavior Analytics","description":"Developments in UBA technology led Gartner to evolve the category to user and entity behavior analytics (UEBA). In September 2015, Gartner published the Market Guide for User and Entity Analytics by Vice President and Distinguished Analyst, Avivah Litan, that provided a thorough definition and explanation. UEBA was referred to in earlier Gartner reports but not in much depth. Expanding the definition from UBA includes devices, applications, servers, data, or anything with an IP address. It moves beyond the fraud-oriented UBA focus to a broader one encompassing &quot;malicious and abusive behavior that otherwise went unnoticed by existing security monitoring systems, such as SIEM and DLP.&quot; The addition of &quot;entity&quot; reflects that devices may play a role in a network attack and may also be valuable in uncovering attack activity. &quot;When end users have been compromised, malware can lay dormant and go undetected for months. Rather than trying to find where the outsider entered, UEBAs allow for quicker detection by using algorithms to detect insider threats.&quot;\r\nParticularly in the computer security market, there are many vendors for UEBA applications. They can be &quot;differentiated by whether they are designed to monitor on-premises or cloud-based software as a service (SaaS) applications; the methods in which they obtain the source data; the type of analytics they use (i.e., packaged analytics, user-driven or vendor-written), and the service delivery method (i.e., on-premises or a cloud-based).&quot; According to the 2015 market guide released by Gartner, &quot;the UEBA market grew substantially in 2015; UEBA vendors grew their customer base, market consolidation began, and Gartner client interest in UEBA and security analytics increased.&quot; The report further projected, &quot;Over the next three years, leading UEBA platforms will become preferred systems for security operations and investigations at some of the organizations they serve. It will be—and in some cases already is—much easier to discover some security events and analyze individual offenders in UEBA than it is in many legacy security monitoring systems.&quot;","materialsDescription":"<span style=\"font-weight: bold;\">What is UEBA?</span>\r\nHackers can break into firewalls, send you e-mails with malicious and infected attachments, or even bribe an employee to gain access into your firewalls. Old tools and systems are quickly becoming obsolete, and there are several ways to get past them.\r\nUser and entity behavior analytics (UEBA) give you more comprehensive way of making sure that your organization has top-notch IT security, while also helping you detect users and entities that might compromise your entire system.\r\nUEBA is a type of cybersecurity process that takes note of the normal conduct of users. In turn, they detect any anomalous behavior or instances when there are deviations from these “normal” patterns. For example, if a particular user regularly downloads 10 MB of files every day but suddenly downloads gigabytes of files, the system would be able to detect this anomaly and alert them immediately.\r\nUEBA uses machine learning, algorithms, and statistical analyses to know when there is a deviation from established patterns, showing which of these anomalies could result in, potentially, a real threat. UEBA can also aggregate the data you have in your reports and logs, as well as analyze the file, flow, and packet information.\r\nIn UEBA, you do not track security events or monitor devices; instead, you track all the users and entities in your system. As such, UEBA focuses on insider threats, such as employees who have gone rogue, employees who have already been compromised, and people who already have access to your system and then carry out targeted attacks and fraud attempts, as well as servers, applications, and devices that are working within your system.\r\n<span style=\"font-weight: bold;\">What are the benefits of UEBA?</span>\r\nIt is the unfortunate truth that today's cybersecurity tools are fast becoming obsolete, and more skilled hackers and cyber attackers are now able to bypass the perimeter defenses that are used by most companies. In the old days, you were secure if you had web gateways, firewalls, and intrusion prevention tools in place. This is no longer the case in today’s complex threat landscape, and it’s especially true for bigger corporations that are proven to have very porous IT perimeters that are also very difficult to manage and oversee.\r\nThe bottom line? Preventive measures are no longer enough. Your firewalls are not going to be 100% foolproof, and hackers and attackers will get into your system at one point or another. This is why detection is equally important: when hackers do successfully get into your system, you should be able to detect their presence quickly in order to minimize the damage.\r\n<span style=\"font-weight: bold;\">How Does UEBA Work?</span>\r\nThe premise of UEBA is actually very simple. You can easily steal an employee’s user name and password, but it is much harder to mimic the person’s normal behavior once inside the network.\r\nFor example, let’s say you steal Jane Doe’s password and user name. You would still not be able to act precisely like Jane Doe once in the system unless given extensive research and preparation. Therefore, when Jane Doe’s user name is logged in to the system, and her behavior is different than that of typical Jane Doe, that is when UEBA alerts start to sound.\r\nAnother relatable analogy would be if your credit card was stolen. A thief can pickpocket your wallet and go to a high-end shop and start spending thousands of dollars using your credit card. If your spending pattern on that card is different from the thief’s, the company’s fraud detection department will often recognize the abnormal spending and block suspicious purchases, issuing an alert to you or asking you to verify the authenticity of a transaction.\r\nAs such, UEBA is a very important component of IT security, allowing you to:\r\n1. Detect insider threats. It is not too far-fetched to imagine that an employee, or perhaps a group of employees, could go rogue, stealing data and information by using their own access. UEBA can help you detect data breaches, sabotage, privilege abuse and policy violations made by your own staff.\r\n2. Detect compromised accounts. Sometimes, user accounts are compromised. It could be that the user unwittingly installed malware on his or her machine, or sometimes a legitimate account is spoofed. UEBA can help you weed out spoofed and compromised users before they can do real harm.\r\n3. Detect brute-force attacks. Hackers sometimes target your cloud-based entities as well as third-party authentication systems. With UEBA, you are able to detect brute-force attempts, allowing you to block access to these entities.\r\n4. Detect changes in permissions and the creation of super users. Some attacks involve the use of super users. UEBA allows you to detect when super users are created, or if there are accounts that were granted unnecessary permissions.\r\n5. Detect breach of protected data. If you have protected data, it is not enough to just keep it secure. You should know when a user accesses this data when he or she does not have any legitimate business reason to access it.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_User_and_Entity_Behavior_Analytics.png","alias":"ueba-user-and-entity-behavior-analytics"},"467":{"id":467,"title":"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 &quot;catch it as you can&quot; and a more intelligent &quot;stop look listen&quot; 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 &quot;the capture, recording, and analysis of network events in order to discover the source of security attacks or other problem incidents&quot;.\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>&quot;Catch-it-as-you-can&quot; – 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>&quot;Stop, look and listen&quot; – 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. Attackers with little skill are much less likely to use advanced hiding techniques.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Network_Forensics.png","alias":"network-forensics"},"834":{"id":834,"title":"IoT - Internet of Things Security","description":" IoT security is the technology area concerned with safeguarding connected devices and networks in the internet of things (IoT).\r\nIoT involves adding internet connectivity to a system of interrelated computing devices, mechanical and digital machines, objects, animals and/or people. Each &quot;thing&quot; is provided a unique identifier and the ability to automatically transfer data over a network. Allowing devices to connect to the internet opens them up to a number of serious vulnerabilities if they are not properly protected.\r\nIoT security has become the subject of scrutiny after a number of high-profile incidents where a common IoT device was used to infiltrate and attack the larger network. Implementing security measures is critical to ensuring the safety of networks with IoT devices connected to them.\r\nIoT security hacks can happen in any industry, from smart home to a manufacturing plant to a connected car. The severity of impact depends greatly on the individual system, the data collected and/or the information it contains.\r\nAn attack disabling the brakes of a connected car, for example, or on a connected health device, such as an insulin pump hacked to administer too much medication to a patient, can be life-threatening. Likewise, an attack on a refrigeration system housing medicine that is monitored by an IoT system can ruin the viability of a medicine if temperatures fluctuate. Similarly, an attack on critical infrastructure -- an oil well, energy grid or water supply -- can be disastrous.\r\nSo, a robust IoT security portfolio must allow protecting devices from all types of vulnerabilities while deploying the security level that best matches application needs. Cryptography technologies are used to combat communication attacks. Security services are offered for protecting against lifecycle attacks. Isolation measures can be implemented to fend off software attacks. And, finally, IoT security should include tamper mitigation and side-channel attack mitigation technologies for fighting physical attacks of the chip.","materialsDescription":" <span style=\"font-weight: bold;\">What are the key requirements of IoT Security?</span>\r\nThe key requirements for any IoT security solution are:\r\n<ul><li>Device and data security, including authentication of devices and confidentiality and integrity of data</li><li>Implementing and running security operations at IoT scale</li><li>Meeting compliance requirements and requests</li><li>Meeting performance requirements as per the use case</li></ul>\r\n<span style=\"font-weight: bold;\">What do connected devices require to participate in the IoT Securely?</span>\r\nTo securely participate in the IoT, each connected device needs a unique identification – even before it has an IP address. This digital credential establishes the root of trust for the device’s entire lifecycle, from initial design to deployment to retirement.\r\n<span style=\"font-weight: bold;\">Why is device authentication necessary for the IoT?</span>\r\nStrong IoT device authentication is required to ensure connected devices on the IoT can be trusted to be what they purport to be. Consequently, each IoT device needs a unique identity that can be authenticated when the device attempts to connect to a gateway or central server. With this unique ID in place, IT system administrators can track each device throughout its lifecycle, communicate securely with it, and prevent it from executing harmful processes. If a device exhibits unexpected behavior, administrators can simply revoke its privileges.\r\n<span style=\"font-weight: bold;\">Why is secure manufacturing necessary for IoT devices?</span>\r\nIoT devices produced through unsecured manufacturing processes provide criminals opportunities to change production runs to introduce unauthorized code or produce additional units that are subsequently sold on the black market.\r\nOne way to secure manufacturing processes is to use hardware security modules (HSMs) and supporting security software to inject cryptographic keys and digital certificates and to control the number of units built and the code incorporated into each.\r\n<span style=\"font-weight: bold;\">Why is code signing necessary for IoT devices?</span>\r\nTo protect businesses, brands, partners, and users from software that has been infected by malware, software developers have adopted code signing. In the IoT, code signing in the software release process ensures the integrity of IoT device software and firmware updates and defends against the risks associated with code tampering or code that deviates from organizational policies.\r\nIn public key cryptography, code signing is a specific use of certificate-based digital signatures that enables an organization to verify the identity of the software publisher and certify the software has not been changed since it was published.\r\n<span style=\"font-weight: bold;\">What is IoT PKI?</span>\r\nToday there are more things (devices) online than there are people on the planet! Devices are the number one users of the Internet and need digital identities for secure operation. As enterprises seek to transform their business models to stay competitive, rapid adoption of IoT technologies is creating increasing demand for Public Key Infrastructures (PKIs) to provide digital certificates for the growing number of devices and the software and firmware they run.\r\nSafe IoT deployments require not only trusting the devices to be authentic and to be who they say they are, but also trusting that the data they collect is real and not altered. If one cannot trust the IoT devices and the data, there is no point in collecting, running analytics, and executing decisions based on the information collected.\r\nSecure adoption of IoT requires:\r\n<ul><li>Enabling mutual authentication between connected devices and applications</li><li>Maintaining the integrity and confidentiality of the data collected by devices</li><li>Ensuring the legitimacy and integrity of the software downloaded to devices</li><li>Preserving the privacy of sensitive data in light of stricter security regulations</li></ul>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/iot.png","alias":"iot-internet-of-things-security"}},"branches":"Information Technology","companySizes":"101 to 500 Employees","companyUrl":"https://www.devo.com/","countryCodes":[],"certifications":[],"isSeller":true,"isSupplier":false,"isVendor":true,"presenterCodeLng":"","seo":{"title":"Devo (LogTrust)","keywords":"","description":" <span style=\"font-weight: bold;\">Devo </span>unlocks the full value of machine data for the world’s most instrumented enterprises by putting more data to work now. 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