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Waylay.io builda top class automation & analytics software.</span></p>\r\n<br />Internet of Things solutions often operate in silos and don’t integrate well with existing IT back-end systems and cloud applications. This leads to inflexible solutions with high integration costs.<br /><span style=\"font-weight: bold;\">Waylay </span>is the market leading IoT service orchestration platform that breaks down silos by connecting devices with SW applications and online services. <span style=\"font-weight: bold;\">Waylay </span>makes automation and integration faster, smarter and more scalable.<br />Source: https://www.linkedin.com/company/waylay/about/","companyTypes":["supplier","vendor"],"products":{},"vendoredProductsCount":0,"suppliedProductsCount":0,"supplierImplementations":[],"vendorImplementations":[],"userImplementations":[],"userImplementationsCount":0,"supplierImplementationsCount":0,"vendorImplementationsCount":0,"vendorPartnersCount":0,"supplierPartnersCount":0,"b4r":0,"categories":{"40":{"id":40,"title":"Endpoint security","description":"In network security, endpoint security refers to a methodology of protecting the corporate network when accessed via remote devices such as laptops or other wireless and mobile devices. Each device with a remote connecting to the network creates a potential entry point for security threats. Endpoint security is designed to secure each endpoint on the network created by these devices.\r\nUsually, endpoint security is a security system that consists of security software, located on a centrally managed and accessible server or gateway within the network, in addition to client software being installed on each of the endpoints (or devices). The server authenticates logins from the endpoints and also updates the device software when needed. While endpoint security software differs by vendor, you can expect most software offerings to provide antivirus, antispyware, firewall and also a host intrusion prevention system (HIPS).\r\nEndpoint security is becoming a more common IT security function and concern as more employees bring consumer mobile devices to work and companies allow its mobile workforce to use these devices on the corporate network.<br /><br />","materialsDescription":"<span style=\"font-weight: bold;\">What are endpoint devices?</span>\r\nAny device that can connect to the central business network is considered an endpoint. Endpoint devices are potential entry points for cybersecurity threats and need strong protection because they are often the weakest link in network security.\r\n<span style=\"font-weight: bold;\">What is endpoint security management?</span>\r\nA set of rules defining the level of security that each device connected to the business network must comply with. These rules may include using an approved operating system (OS), installing a virtual private network (VPN), or running up-to-date antivirus software. If the device connecting to the network does not have the desired level of protection, it may have to connect via a guest network and have limited network access.\r\n<span style=\"font-weight: bold;\">What is endpoint security software?</span>\r\nPrograms that make sure your devices are protected. Endpoint protection software may be cloud-based and work as SaaS (Software as a Service). Endpoint security software can also be installed on each device separately as a standalone application.\r\n<span style=\"font-weight: bold;\">What is endpoint detection and response (EDR)?</span>\r\nEndpoint detection and response (EDR) solutions analyze files and programs, and report on any threats found. 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Originally, all PaaSes were in the public cloud. Because many companies did not want to have everything in the public cloud, private and hybrid PaaS options (managed by internal IT departments) were created.</span>\r\n<span style=\"color: rgb(97, 97, 97); \">PaaS provides an environment for developers and companies to create, host and deploy applications, saving developers from the complexities of the infrastructure side (setting up, configuring and managing elements such as servers and databases).</span>\r\n<span style=\"color: rgb(97, 97, 97); \">PaaS products can improve the speed of developing an app, and allow the consumer to focus on the application itself. With PaaS, the consumer manages applications and data, while the provider (in public PaaS) or IT department (in private PaaS) manages runtime, middleware, operating system, virtualization, servers, storage and networking.</span>\r\n<span style=\"color: rgb(97, 97, 97); \">PaaS offerings may also include facilities for application design, application development, testing and deployment, as well as services such as team collaboration, web service integration, and marshalling, database integration, security, scalability, storage, persistence, state management, application versioning, application instrumentation, and developer community facilitation. Besides the service engineering aspects, PaaS solutions include mechanisms for service management, such as monitoring, workflow management, discovery and reservation.</span>\r\nThere are various types of PaaS providers. All offer application hosting and a deployment environment, along with various integrated services. Services offer varying levels of scalability and maintenance. Developers can write an application and upload it to a PaaS platform that supports their software language of choice, and the application runs on that PaaS.","materialsDescription":"<h1 class=\"align-center\">How PaaS works</h1>\r\n<p class=\"align-left\">PaaS does not replace a company's entire IT infrastructure for software development. It is provided through a cloud service provider's hosted infrastructure with users most frequently accessing the offerings through a web browser. PaaS can be delivered through public, private and hybrid clouds to deliver services such as application hosting and Java development.</p>\r\n<p class=\"align-left\"><span style=\"font-weight: bold; \">Other PaaS services include:</span></p>\r\n<ul><li>Development team collaboration</li><li>Application design and development</li><li>Application testing and deployment</li><li>Web service integration</li><li>Information security</li><li>Database integration</li></ul>\r\n<p class=\"align-left\">Users pay for PaaS on a per-use basis. However, different platform as a service providers charge a flat monthly fee for access to the platform and its applications.</p>\r\n<h1 class=\"align-center\">What are the types of PaaS?</h1>\r\n<ul><li><span style=\"font-weight: bold; \">Public PaaS</span></li></ul>\r\nA public PaaS allows the user to control software deployment while the cloud provider manages the delivery of all other major IT components necessary to the hosting of applications, including operating systems, databases, servers and storage system networks. \r\nPublic PaaS vendors offer middleware that enables developers to set up, configure and control servers and databases without the necessity of setting up the infrastructure side of things. As a result, public PaaS and IaaS (infrastructure as a service) run together, with PaaS operating on top of a vendor's IaaS infrastructure while leveraging the public cloud. \r\n<ul><li><span style=\"font-weight: bold; \">Private PaaS</span></li></ul>\r\nA private PaaS is usually delivered as an appliance or software within the user's firewall which is frequently maintained in the company's on-premises data center. A private PaaS software can be developed on any type of infrastructure and can work within the company's specific private cloud. Private PaaS allows an organization to better serve developers, improve the use of internal resources and reduce the costly cloud sprawl that many companies face.\r\n<ul><li><span style=\"font-weight: bold; \">Hybrid PaaS </span></li></ul>\r\nCombines public PaaS and private PaaS to provide companies with the flexibility of infinite capacity provided by a public PaaS model and the cost efficiencies of owning an internal infrastructure in private PaaS. Hybrid PaaS utilizes a hybrid cloud.\r\n<ul><li><span style=\"font-weight: bold; \">Communication PaaS </span></li></ul>\r\nCPaaS is a cloud-based platform that allows developers to add real-time communications to their apps without the need for back-end infrastructure and interfaces. Normally, real-time communications occur in apps that are built specifically for these functions. Examples include Skype, FaceTime, WhatsApp and the traditional phone. CPaaS provides a complete development framework for the creation of real-time communications features without the necessity of a developer building their own framework.\r\n<ul><li><span style=\"font-weight: bold; \">Mobile PaaS</span> </li></ul>\r\nMPaaS is the use of a paid integrated development environment for the configuration of mobile apps. In an mPaaS, coding skills are not required. MPaaS is delivered through a web browser and typically supports public cloud, private cloud and on-premises storage. The service is usually leased with pricing per month, varying according to the number of included devices and supported features.\r\n<ul><li><span style=\"font-weight: bold; \">Open PaaS</span></li></ul>\r\nIt is a free, open source, business-oriented collaboration platform that is attractive on all devices and provides useful web apps, including calendar, contacts and mail applications. OpenPaaS was designed to allow users to quickly deploy new applications with the goal of developing a PaaS technology that is committed to enterprise collaborative applications, specifically those deployed on hybrid clouds.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/PaaS_-_Platform_as_a_service.png","alias":"paas-platform-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 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 operators 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 & 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"},"221":{"id":221,"title":"Process Automation Middleware","description":" At the current level of development, process automation is one of the approaches to process management based on the use of information technology. This approach allows the management of operations, data, information and resources through the use of computers and software that reduce the degree of human participation in the process, or completely eliminate it.\r\nThe main goal of automation is to improve the quality of the process. An automated process has more stable characteristics than a manual process. In many cases, process automation can increase productivity, reduce process execution time, reduce cost, increase accuracy and stability of operations.\r\nTo date, process automation has covered many industries and areas of activity: from manufacturing processes to shopping in stores. Regardless of the size and scope of the organization, almost every company has automated processes. The process approach provides for all processes the same principles of automation.\r\nDespite the fact that process automation can be performed at various levels, the principles of automation for all levels and all types of processes will remain the same. These are general principles that set the conditions for the efficient execution of processes in automatic mode and establish rules for automatic process control.\r\nThe basic principles of process automation are: the principle of consistency, the principle of integration, the principle of independence of execution. These general principles are detailed depending on the level of automation under consideration and specific processes. For example, automation of production processes includes principles such as the principle of specialization, the principle of proportionality, the principle of continuity, etc.","materialsDescription":" <span style=\"font-weight: bold; \">What are the levels of process automation?</span>\r\nProcess automation is needed to support management at all levels of the company hierarchy. In this regard, the levels of automation are determined depending on the level of control at which the automation of processes is performed.\r\nManagement levels are usually divided into operational, tactical and strategic.\r\nIn accordance with these levels, automation levels are also distinguished:\r\n<ul><li><span style=\"font-style: italic; \"><span style=\"font-weight: bold; \">Lower level of automation or level of performers.</span></span> At this level, automation of regularly running processes is carried out. Automation of processes is aimed at performing operational tasks (for example, executing a production process), maintaining established parameters (for example, autopilot operation), and maintaining certain operating modes (for example, temperature conditions in a gas boiler).</li><li><span style=\"font-style: italic; \"><span style=\"font-weight: bold; \">Production management level or tactical level.</span></span> Automation of processes of this level ensures the distribution of tasks between various processes of the lower level. Examples of such processes are production management processes (production planning, service planning), processes of managing resources, documents, etc.</li><li><span style=\"font-style: italic; \"><span style=\"font-weight: bold; \">Enterprise management level or strategic level.</span></span> Automation of the processes of the enterprise management level provides the solution of analytical and forecast tasks. This level of automation is necessary to support the work of top management of the organization. It is aimed at financial, economic and strategic management.</li></ul>\r\nAutomation of processes at each of these levels is provided through the use of various automation systems (CRM systems, ERP systems, OLAP systems, etc.). All automation systems can be divided into three basic types.\r\nTypes of automation systems include:\r\n<ul><li><span style=\"font-style: italic; \"><span style=\"font-weight: bold; \">immutable systems.</span></span> These are systems in which the sequence of actions is determined by the configuration of the equipment or process conditions and cannot be changed during the process.</li><li><span style=\"font-style: italic; \"><span style=\"font-weight: bold; \">programmable systems.</span></span> These are systems in which the sequence of actions may vary depending on a given program and process configuration. The selection of the necessary sequence of actions is carried out through a set of instructions that can be read and interpreted by the system.</li><li><span style=\"font-style: italic; \"><span style=\"font-weight: bold; \">flexible (self-adjusting) systems.</span></span> These are systems that are able to carry out the selection of necessary actions in the process of work. Changing the configuration of the process (sequence and conditions of operations) is based on information about the process.</li></ul>\r\nThese types of systems can be applied at all levels of process automation individually or as part of a combined system.\r\n<span style=\"font-weight: bold; \">What are the types of automated processes?</span>\r\nIn each sector of the economy, there are enterprises and organizations that produce products or provide services. All these enterprises can be divided into three groups, depending on their “remoteness” in the natural resource processing chain.\r\nThe first group of enterprises is enterprises that extract or produce natural resources. Such enterprises include, for example, agricultural producers, oil and gas companies.\r\nThe second group of enterprises is enterprises that process natural raw materials. They make products from raw materials mined or produced by enterprises of the first group. Such enterprises include, for example, automobile industry enterprises, steel enterprises, electronic industry enterprises, power plants, etc.\r\nThe third group is service enterprises. Such organizations include, for example, banks, educational institutions, medical institutions, restaurants, etc.\r\nFor all enterprises, we can distinguish common groups of processes associated with the production of products or the provision of services.\r\nThese processes include:\r\n<ul><li>business processes;</li><li>design and development processes;</li><li>production processes;</li><li>control and analysis processes.</li></ul>\r\n<span style=\"font-weight: bold;\">What are the benefits of process automation?</span>\r\nProcess automation can significantly improve the quality of management and product quality. With the implementation of the QMS, automation gives a significant effect and enables the organization to significantly improve its work. However, before deciding on process automation, it is necessary to evaluate the benefits of running processes in an automatic mode.\r\nTypically, process automation provides the following benefits:\r\n<ul><li><span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">the speed of completing repetitive tasks increases.</span></span> Due to the automatic mode, the same tasks can be completed faster because automated systems are more accurate in operations and are not prone to a decrease in performance from the time of work.</li><li><span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">quality of work increases.</span></span> The exclusion of the human factor significantly reduces variations in the execution of the process, which leads to a decrease in the number of errors and, accordingly, increases the stability and quality of the process.</li><li><span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">increases control accuracy.</span></span> Due to the use of information technology in automated systems, it becomes possible to save and take into account a greater amount of process data than with manual control.</li><li><span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">parallel tasks.</span></span> Automated systems allow you to perform several actions at the same time without loss of quality and accuracy. This speeds up the process and improves the quality of the results.</li><li><span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">quick decision making in typical situations.</span></span> In automated systems, decisions related to typical situations are made much faster than with manual control. This improves the performance of the process and avoids inconsistencies in subsequent stages.</li></ul>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Process_Automation_Middleware.png","alias":"process-automation-middleware"},"245":{"id":245,"title":"Data Integration and Access Software","description":" Data integration involves combining data residing in different sources and providing users with a unified view of them. This process becomes significant in a variety of situations, which include both commercial (such as when two similar companies need to merge their databases) and scientific (combining research results from different bioinformatics repositories, for example) domains. Data integration appears with increasing frequency as the volume (that is, big data) and the need to share existing data explodes. It has become the focus of extensive theoretical work, and numerous open problems remain unsolved. Data integration encourages collaboration between internal as well as external users.\r\nData integration is the process of combining data from different sources into a single, unified view. Integration begins with the ingestion process, and includes steps such as cleansing, ETL mapping, and transformation. Data integration ultimately enables analytics tools to produce effective, actionable business intelligence.\r\nThere is no universal approach to data integration. However, data integration solutions typically involve a few common elements, including a network of data sources, a master server, and clients accessing data from the master server.\r\nIn a typical data integration process, the client sends a request to the master server for data. The master server then intakes the needed data from internal and external sources. The data is extracted from the sources, then consolidated into a single, cohesive data set. This is served back to the client for use.","materialsDescription":" <span style=\"font-weight: bold;\">Integration helps businesses succeed</span>\r\nEven if a company is receiving all the data it needs, that data often resides in a number of separate data sources. For example, for a typical customer 360 view use case, the data that must be combined may include data from their CRM systems, web traffic, marketing operations software, customer — facing applications, sales and customer success systems, and even partner data, just to name a few. Information from all of those different sources often needs to be pulled together for analytical needs or operational actions, and that can be no small task for data engineers or developers to bring them all together.\r\nLet’s take a look at a typical analytical use case. Without unified data, a single report typically involves logging into multiple accounts, on multiple sites, accessing data within native apps, copying over the data, reformatting, and cleansing, all before analysis can happen.\r\nConducting all these operations as efficiently as possible highlights the importance of data integration. It also showcases the major benefits of a well thought-out approach to data integration:\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Improves collaboration and unification of systems</span></span>\r\nEmployees in every department — and sometimes in disparate physical locations — increasingly need access to the company's data for shared and individual projects. IT needs a secure solution for delivering data via self-service access across all lines of business.\r\nAdditionally, employees in almost every department are generating and improving data that the rest of the business needs. Data integration needs to be collaborative and unified in order to improve collaboration and unification across the organization.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Saves time and boosts efficiency</span></span>\r\nWhen a company takes measures to integrate its data properly, it cuts down significantly on the time it takes to prepare and analyze that data. The automation of unified views cuts out the need for manually gathering data, and employees no longer need to build connections from scratch whenever they need to run a report or build an application.\r\nAdditionally, using the right tools, rather than hand-coding the integration, returns even more time (and resources overall) to the dev team.\r\nAll the time saved on these tasks can be put to other, better uses, with more hours earmarked for analysis and execution to make an organization more productive and competitive.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Reduces errors (and rework)</span></span>\r\nThere’s a lot to keep up with when it comes to a company’s data resources. To manually gather data, employees must know every location and account that they might need to explore — and have all necessary software installed before they begin — to ensure their data sets will be complete and accurate. If a data repository is added, and that employee is unaware, they will have an incomplete data set.\r\nAdditionally, without a data integration solution that synchronizes data, reporting must be periodically redone to account for any changes. With automated updates, however, reports can be run easily in real time, whenever they’re needed.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Delivers more valuable data</span></span>\r\nData integration efforts actually improve the value of a business’ data over time. As data is integrated into a centralized system, quality issues are identified and necessary improvements are implemented, which ultimately results in more accurate data — the foundation for quality analysis.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Data_Integration_and_Access_Software.png","alias":"data-integration-and-access-software"},"399":{"id":399,"title":"Requirements Visualization, Definition, and Management","description":" Requirements management is the process of documenting, analyzing, tracing, prioritizing and agreeing on requirements and then controlling change and communicating to relevant stakeholders. It is a continuous process throughout a project. A requirement is a capability to which a project outcome (product or service) should conform.\r\nThe purpose of requirements management is to ensure that an organization documents, verifies, and meets the needs and expectations of its customers and internal or external stakeholders. Requirements management begins with the analysis and elicitation of the objectives and constraints of the organization. Requirements management further includes supporting planning for requirements, integrating requirements and the organization for working with them (attributes for requirements), as well as relationships with other information delivering against requirements, and changes for these.\r\nThe traceability thus established is used in managing requirements to report back fulfilment of company and stakeholder interests in terms of compliance, completeness, coverage, and consistency. Traceabilities also support change management as part of requirements management in understanding the impacts of changes through requirements or other related elements (e.g., functional impacts through relations to functional architecture), and facilitating introducing these changes.\r\nRequirements management involves communication between the project team members and stakeholders, and adjustment to requirements changes throughout the course of the project. To prevent one class of requirements from overriding another, constant communication among members of the development team is critical. For example, in software development for internal applications, the business has such strong needs that it may ignore user requirements, or believe that in creating use cases, the user requirements are being taken care of.\r\nRequirements traceability is concerned with documenting the life of a requirement. It should be possible to trace back to the origin of each requirement and every change made to the requirement should therefore be documented in order to achieve traceability. Even the use of the requirement after the implemented features have been deployed and used should be traceable.\r\nRequirements come from different sources, like the business person ordering the product, the marketing manager and the actual user. These people all have different requirements for the product. Using requirements traceability, an implemented feature can be traced back to the person or group that wanted it during the requirements elicitation. This can, for example, be used during the development process to prioritize the requirement, determining how valuable the requirement is to a specific user. It can also be used after the deployment when user studies show that a feature is not used, to see why it was required in the first place.","materialsDescription":"<span style=\"font-weight: bold; \">Requirements activities</span>\r\nAt each stage in a development process, there are key requirements management activities and methods. To illustrate, consider a standard five-phase development process with Investigation, Feasibility, Design, Construction, and Test, and Release stages.\r\n<span style=\"font-style: italic; \"><span style=\"font-weight: bold; \">Investigation</span></span>\r\nIn Investigation, the first three classes of requirements are gathered from the users, from the business, and from the development team. In each area, similar questions are asked; what are the goals, what are the constraints, what are the current tools or processes in place, and so on. Only when these requirements are well understood can functional requirements be developed.\r\nIn the common case, requirements cannot be fully defined at the beginning of the project. Some requirements will change, either because they simply weren’t extracted, or because internal or external forces at work affect the project in mid-cycle.\r\nThe deliverable from the Investigation stage is a requirements document that has been approved by all members of the team. Later, in the thick of development, this document will be critical in preventing scope creep or unnecessary changes. As the system develops, each new feature opens a world of new possibilities, so the requirements specification anchors the team to the original vision and permits a controlled discussion of scope change.\r\nWhile many organizations still use only documents to manage requirements, others manage their requirements baselines using software tools. These tools allow requirements to be managed in a database, and usually have functions to automate traceability (e.g., by allowing electronic links to be created between parent and child requirements, or between test cases and requirements), electronic baseline creation, version control, and change management. Usually, such tools contain an export function that allows a specification document to be created by exporting the requirements data into a standard document application.\r\n<span style=\"font-style: italic; \"><span style=\"font-weight: bold; \">Feasibility</span></span>\r\nIn the Feasibility stage, the costs of the requirements are determined. For user requirements, the current cost of work is compared to the future projected costs once the new system is in place. Questions such as these are asked: “What are data entry errors costing us now?” Or “What is the cost of scrap due to operator error with the current interface?” Actually, the need for the new tool is often recognized as these questions come to the attention of financial people in the organization.\r\nBusiness costs would include, “What department has the budget for this?” “What is the expected rate of return on the new product in the marketplace?” “What’s the internal rate of return in reducing the costs of training and support if we make a new, easier-to-use system?”\r\nTechnical costs are related to software development costs and hardware costs. “Do we have the right people to create the tool?” “Do we need new equipment to support expanded software roles?” This last question is an important type. The team must inquire into whether the newest automated tools will add sufficient processing power to shift some of the burdens from the user to the system in order to save people time.\r\nThe question also points out a fundamental point about requirements management. A human and a tool form a system, and this realization is especially important if the tool is a computer or a new application on a computer. The human mind excels in parallel processing and interpretation of trends with insufficient data. The CPU excels in serial processing and accurate mathematical computation. The overarching goal of the requirements management effort for a software project would thus be to make sure the work being automated gets assigned to the proper processor. For instance, “Don’t make the human remember where she is in the interface. Make the interface report the human’s location in the system at all times.” Or “Don’t make the human enter the same data in two screens. Make the system store the data and fill in the second screen as needed.”\r\nThe deliverable from the Feasibility stage is the budget and schedule for the project.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Design</span></span>\r\nAssuming that costs are accurately determined and benefits to be gained are sufficiently large, the project can proceed to the Design stage. In Design, the main requirements management activity is comparing the results of the design against the requirements document to make sure that work is staying in scope.\r\nAgain, flexibility is paramount to success. Here’s a classic story of scope change in mid-stream that actually worked well. Ford auto designers in the early ‘80s were expecting gasoline prices to hit $3.18 per gallon by the end of the decade. Midway through the design of the Ford Taurus, prices had centered to around $1.50 a gallon. The design team decided they could build a larger, more comfortable, and more powerful car if the gas prices stayed low, so they redesigned the car. The Taurus launch set nationwide sales records when the new car came out, primarily because it was so roomy and comfortable to drive.\r\nIn most cases, however, departing from the original requirements to that degree does not work. So the requirements document becomes a critical tool that helps the team make decisions about design changes.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Construction and test</span></span>\r\nIn the construction and testing stage, the main activity of requirements management is to make sure that work and cost stay within schedule and budget, and that the emerging tool does, in fact, meet requirements. A main tool used in this stage is prototype construction and iterative testing. For a software application, the user interface can be created on paper and tested with potential users while the framework of the software is being built. The results of these tests are recorded in a user interface design guide and handed off to the design team when they are ready to develop the interface. This saves time and makes their jobs much easier.\r\nVerification: This effort verifies that the requirement has been implemented correctly. There are 4 methods of verification: analysis, inspection, testing, and demonstration. Numerical software execution results or through-put on a network test, for example, provides analytical evidence that the requirement has been met. Inspection of vendor documentation or spec sheets also verifies requirements. Actually testing or demonstrating the software in a lab environment also verifies the requirements: a test type of verification will occur when test equipment not normally part of the lab (or system under test) is used. Comprehensive test procedures which outline the steps and their expected results clearly identify what is to be seen as a result of performing the step. After the step or set of steps is completed the last step's expected result will call out what has been seen and then identify what requirements or requirements have been verified (identified by number). The requirement number, title, and verbiage are tied together in another location in the test document.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Requirements change management</span></span>\r\nHardly would any software development project be completed without some changes being asked of the project. The changes can stem from changes in the environment in which the finished product is envisaged to be used, business changes, regulation changes, errors in the original definition of requirements, limitations in technology, changes in the security environment and so on. The activities of requirements change management include receiving the change requests from the stakeholders, recording the received change requests, analyzing and determining the desirability and process of implementation, implementation of the change request, quality assurance for the implementation and closing the change request. Then the data of change requests be compiled, analyzed and appropriate metrics are derived and dovetailed into the organizational knowledge repository.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Release</span></span>\r\nRequirements management does not end with product release. From that point on, the data coming in about the application’s acceptability is gathered and fed into the Investigation phase of the next generation or release. Thus the process begins again.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Requirements_Visualization.png","alias":"requirements-visualization-definition-and-management"},"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 "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. 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 "thing" 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":"1 to 50 Employees","companyUrl":"https://www.waylay.io/","countryCodes":[],"certifications":[],"isSeller":true,"isSupplier":true,"isVendor":true,"presenterCodeLng":"","seo":{"title":"Waylay.io","keywords":"","description":"<p class=\"align-center\"><span style=\"font-weight: bold;\"> The leading data orchestration platform for the Internet of Things. 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