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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"},"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"},"206":{"id":206,"title":"Application Security Testing","description":" Applications form the lifeline of any business today – and they are under attack more than ever before. Where previously we focused our attention on securing organizations’ network parameters, today the application level is where the focus is for attackers.\r\nAccording to Verizon’s 2014 Data Breach Investigations Report, web applications “remain the proverbial punching bag of the internet,” with about 80% of attacks in the application layer, as Gartner has stated.&nbsp; Taking proactive measures to protect your company and customer data is no longer an option: It is a business imperative for enterprises across all industries.\r\nIn 2013, the Ponemon Institute’s ‘Cost of a Data Breach Report’ found that security incidents in the U.S. averaged a total cost of $5.4 million. Preventing just one similar security incident would more than cover the cost of application security and prove your security programs value.\r\nApplication Security is built around the concept of ensuring that the code written for an application does what it was built to do, and keeps the contained data secure.\r\nAccording to Gartner, application security puts a primary focus on three elements:\r\n<ul><li>Reducing security vulnerabilities and risks</li><li>Improving security features and functions such as authentication, encryption or auditing</li><li>Integrating with the enterprise security infrastructure</li></ul>","materialsDescription":" Security testing techniques scour for vulnerabilities or security holes in applications. These vulnerabilities leave applications open to exploitation. Ideally, security testing is implemented throughout the entire software development life cycle (SDLC) so that vulnerabilities may be addressed in a timely and thorough manner. Unfortunately, testing is often conducted as an afterthought at the end of the development cycle. With the growth of Continuous delivery and DevOps as popular software development and deployment models, continuous security models are becoming more popular.\r\nVulnerability scanners, and more specifically web application scanners, otherwise known as penetration testing tools (i.e. ethical hacking tools) have been historically used by security organizations within corporations and security consultants to automate the security testing of http request/responses; however, this is not a substitute for the need for actual source code review. Physical code reviews of an application's source code can be accomplished manually or in an automated fashion. Given the common size of individual programs (often 500,000 lines of code or more), the human brain cannot execute a comprehensive data flow analysis needed in order to completely check all circuitous paths of an application program to find vulnerability points. The human brain is suited more for filtering, interrupting and reporting the outputs of automated source code analysis tools available commercially versus trying to trace every possible path through a compiled code base to find the root cause level vulnerabilities.\r\nThere are many kinds of automated tools for identifying vulnerabilities in applications. Some require a great deal of security expertise to use and others are designed for fully automated use. The results are dependent on the types of information (source, binary, HTTP traffic, configuration, libraries, connections) provided to the tool, the quality of the analysis, and the scope of vulnerabilities covered. Common technologies used for identifying application vulnerabilities include:\r\n<span style=\"font-weight: bold;\">Static Application Security Testing (SAST)</span> is a technology that is frequently used as a Source Code Analysis tool. The method analyzes source code for security vulnerabilities prior to the launch of an application and is used to strengthen code. This method produces fewer false positives but for most implementations requires access to an application's source code and requires expert configuration and lots of processing power.\r\n<span style=\"font-weight: bold;\">Dynamic Application Security Testing (DAST)</span> is a technology, which is able to find visible vulnerabilities by feeding a URL into an automated scanner. This method is highly scalable, easily integrated and quick. DAST's drawbacks lie in the need for expert configuration and the high possibility of false positives and negatives.\r\n<span style=\"font-weight: bold;\">Interactive Application Security Testing (IAST)</span> is a solution that assesses applications from within using software instrumentation. This technique allows IAST to combine the strengths of both SAST and DAST methods as well as providing access to code, HTTP traffic, library information, backend connections and configuration information. Some IAST products require the application to be attacked, while others can be used during normal quality assurance testing.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Application_Security_Testing1.png","alias":"application-security-testing"},"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"},"403":{"id":403,"title":"Software Quality Analysis and Measurement","description":" Software quality measures whether the software satisfies its requirements. Software requirements are classified as either functional or non-functional.\r\nFunctional requirements specify what the software should do. Functional requirements could be calculations, technical details, data manipulation, and processing, or any other specific function that defines what an application is meant to accomplish.\r\nNon-functional requirements specify how the system should work. Also known as “quality attributes” non-functional requirements include things like disaster recovery, portability, privacy, security, supportability, and usability.\r\nNote that most factors indicating software quality fit into the non-functional requirements category. And, while it’s obviously important that software does what it’s built to do, this is the bare minimum you would expect from any application.\r\nBelow are some examples of test metrics and methods for measuring the important aspects of software quality. Efficient measuring and testing of your software for quality is the only way to maximize the chances of releasing high-quality software in today’s fast-paced development environments.\r\nYou can measure reliability by counting the number of high priority bugs found in production. You can also use load testing, which assesses how well the software functions under ordinary conditions of use. It’s important to note that “ordinary conditions of use” can vary between low loads and high loads—the point is that such environments are expected.\r\nLoad testing is also useful for measuring performance efficiency. Stress testing is an important variation on load testing used to determine the maximum operating capacity of an application.\r\nStress testing is conducted by inundating software with requests far exceeding its normal and expected patterns of use to determine how far a system can be pushed before it breaks. With stress testing, you get insight into the recoverability of the software when it breaks—ideally, a system that fails should have a smooth recovery.\r\nYou can measure security by assessing how long it takes to patch or fix software vulnerabilities. You can also check actual security incidents from previous software versions, including whether the system was breached and if any breaches caused downtime for users. All previous security issues should, of course, be addressed in future releases.\r\nCounting the number of lines of code is a simple measure of maintainability—software with more lines of code is harder to maintain, meaning changes are more likely to lead to errors.\r\nThere are several detailed test metrics used to check the complexity of code, such as cyclomatic complexity, which counts the amount of linearly independent paths through a program’s source code.\r\nYou can check the rate of delivery by counting the number of software releases. Another measure is the number of “stories” or user requirements shipped to the user.\r\nYou can test the GUI to make sure it’s simple and not frustrating for end-users. The problem is that GUI testing is complex and time-consuming – there are many possible GUI operations and sequences that require testing in most software. And that means it takes a long time to design test cases.\r\nThe complexity of GUI testing competes with the objective of releasing software quickly, which has necessitated the implementation of automated testing. Several test suites that completely simulate user behavior are available.","materialsDescription":" <span style=\"font-weight: bold;\">What is Software Quality Metrics?</span>\r\nThe word 'metrics' refers to standards for measurements. Software Quality Metrics means a measurement of attributes, pertaining to software quality along with its process of development.\r\nThe term &quot;software quality metrics&quot; illustrate the picture of measuring the software qualities by recording the number of defects or security loopholes present in the software. However, quality measurement is not restricted to the counting defects or vulnerabilities but also covers other aspects of qualities such as maintainability, reliability, integrity, usability, customer satisfaction, etc.\r\n<span style=\"font-weight: bold;\">Why Software Quality Metrics?</span>\r\n<ol><li>To define and categorize elements in order to have a better understanding of each and every process and attribute.</li><li>To evaluate and assess each of these processes and attribute against the given requirements and specifications.</li><li>Predicting and planning the next move w.r.t software and business requirements.</li><li>Improving the Overall quality of the process and product, and subsequently of project.</li></ol>\r\n<span style=\"font-weight: bold;\">Software Quality Metrics: a sub-category of Software Metrics</span>\r\nIt is basically, a subclass of software metrics that mainly emphasizes on quality assets of the software product, process and project. A software metric is a broader concept that incorporates software quality metrics in it, and mainly consists of three types of metrics:\r\n<ul><li><span style=\"font-weight: bold;\">Product Metrics:</span> it includes size, design, complexity, performance and other parameters that are associated with the product's quality.</li><li><span style=\"font-weight: bold;\">Process Metrics:</span> it involves parameters like time-duration in locating and removing defects, response time for resolving issues, etc.</li><li><span style=\"font-weight: bold;\">Project Metrics:</span> it may include a number of teams, developers involved, cost and duration for the project, etc.</li></ul>\r\n<span style=\"font-weight: bold;\">Features of good Software Quality Metrics:</span>\r\n<ul><li>Should be specific to measure the particular attribute or an attribute of greater importance.</li><li>Comprehensive for a wide variety of scenarios.</li><li>Should not consider attributes that have already been measured by some other metric.</li><li>Reliable to work similarly in all conditions.</li><li>Should be easy and simple to understand and operate.</li></ul>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Software_Quality_Analysis_and_Measurement.png","alias":"software-quality-analysis-and-measurement"},"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"},"836":{"id":836,"title":"DRP - Digital Risk Protection","description":"Digital risks exist on social media and web channels, outside most organization's line of visibility. Organizations struggle to monitor these external, unregulated channels for risks targeting their business, their employees or their customers.\r\nCategories of risk include cyber (insider threat, phishing, malware, data loss), revenue (customer scams, piracy, counterfeit goods) brand (impersonations, slander) and physical (physical threats, natural disasters).\r\nDue to the explosive growth of digital risks, organizations need a flexible, automated approach that can monitor digital channels for organization-specific risks, trigger alerts and remediate malicious posts, profiles, content or apps.\r\nDigital risk protection (DRP) is the process of protecting social media and digital channels from security threats and business risks such as social engineering, external fraud, data loss, insider threat and reputation-based attacks. DRP reduces risks that emerge from digital transformation, protecting against the unwanted exposure of a company’s data, brand, and attack surface and providing actionable insight on threats from the open, deep, and dark web.<br /><br />","materialsDescription":"<span style=\"font-weight: bold;\">What is a digital risk?</span>\r\nDigital risks can take many forms. Most fundamentally, what makes a risk digital? Digital risk is any risk that plays out in one form or another online, outside of an organization’s IT infrastructure and beyond the security perimeter. This can be a cyber risk, like a phishing link or ransomware via LinkedIn, but can also include traditional risks with a digital component, such as credit card money flipping scams on Instagram.\r\n<span style=\"font-weight: bold;\">What are the features of Digital Risk Protection?</span>\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">The features are:</span></span>\r\n<ul><li>Protecting yourself from digital risk by building a watchtower, not a wall. A new Forrester report identifies two objectives for any digital risk protection effort: identifying risks and resolving them.</li><li>Digital risk comes in many forms, like unauthorized data disclosure, threat coordination from cybercriminals, risks inherent in the technology you use and in your third-party associates and even from your own employees.</li><li>The best solutions should automate the collection of data and draw from many sources; should have the capabilities to map, monitor, and mitigate digital risk and should be flexible enough to be applied in multiple use cases — factors that many threat intelligence solutions excel in.</li></ul>\r\n<span style=\"font-weight: bold;\">What elements constitute a digital risk?</span>\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Unauthorized Data Disclosure</span></span>\r\nThis includes the theft or leakage of any kind of sensitive data, like the personal financial information of a retail organization’s customers or the source code for a technology company’s proprietary products.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Threat Coordination Activity</span></span>\r\nMarketplaces and criminal forums on the dark web or even just on the open web are potent sources of risk. Here, a vulnerability identified by one group or individual who can’t act on it can reach the hands of someone who can. This includes the distribution of exploits in both targeted and untargeted campaigns.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Supply Chain Issues</span></span>\r\nBusiness partners, third-party suppliers, and other vendors who interact directly with your organization but are not necessarily following the same security practices can open the door to increased risk.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Employee Risk</span></span>\r\nEven the most secure and unbreakable lock can still easily be opened if you just have the right key. Through social engineering efforts, identity or access management and manipulation, or malicious insider attacks coming from disgruntled employees, even the most robust cybersecurity program can be quickly subverted.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Technology Risks</span></span>\r\nThis broad category includes all of the risks you must consider across the different technologies your organization might rely on to get your work done, keep it running smoothly, and tell people about it.\r\n<ul><li><span style=\"font-weight: bold;\">Physical Infrastructure:</span> Countless industrial processes are now partly or completely automated, relying on SCADA, DCS, or PLC systems to run smoothly — and opening them up to cyber- attacks (like the STUXNET attack that derailed an entire country’s nuclear program).</li><li><span style=\"font-weight: bold;\">IT Infrastructure:</span> Maybe the most commonsensical source of digital risk, this includes all of the potential vulnerabilities in your software and hardware. The proliferation of the internet of things devices poses a growing and sometimes underappreciated risk here.</li><li><span style=\"font-weight: bold;\">Public-Facing Presence:</span> All of the points where you interact with your customers and other public entities, whether through social media, email campaigns, or other marketing strategies, represent potential sources of risk.</li></ul>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Digital_Risk_Protection.png","alias":"drp-digital-risk-protection"}},"branches":"Information Technology","companySizes":"1 to 50 Employees","companyUrl":"https://www.aagon.de/en/","countryCodes":["DEU"],"certifications":[],"isSeller":true,"isSupplier":true,"isVendor":true,"presenterCodeLng":"","seo":{"title":"Aagon GmbH","keywords":"","description":"<p class=\"align-center\"> <span style=\"font-weight: bold;\">Aagon GmbH </span>provides client management and software management</p>\r\n<br />Manage your computers with ACMP, the most efficient client management system on the market. 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