IT Services Glossary

Welcome to the IT Services Glossary page at LaunchITS, your comprehensive resource for understanding the intricate world of information technology. As technology continues to evolve at a rapid pace, navigating the vast array of IT terms and concepts can be daunting. Whether you’re a seasoned IT professional, a business owner looking to enhance your company’s digital infrastructure, or an enthusiast eager to delve into the realm of tech, this glossary is designed to provide clarity and insight into the terminology commonly encountered in the IT industry.

  1. Cloud Computing: Cloud computing is the delivery of computing services over the internet (“the cloud”) instead of using local servers or personal devices. These services include servers, storage, databases, networking, software, analytics, and intelligence. Cloud computing allows businesses to access and store data and applications on remote servers, freeing them from the constraints of physical infrastructure. This model offers scalability, cost efficiency, and flexibility, enabling companies to pay only for the resources they use. Popular cloud computing models include Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Major cloud service providers like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform offer a range of services, from basic storage to advanced machine learning capabilities. Cloud computing is transforming how businesses operate, providing tools and services that enhance efficiency, innovation, and collaboration.
  2. Cybersecurity: Cybersecurity refers to the practice of protecting systems, networks, and programs from digital attacks. These cyberattacks are usually aimed at accessing, changing, or destroying sensitive information, extorting money from users, or interrupting normal business processes. Implementing effective cybersecurity measures is particularly challenging today because there are more devices than people, and attackers are becoming more innovative. Cybersecurity measures include firewalls, antivirus software, encryption, multi-factor authentication, and intrusion detection systems. It also involves educating users on safe practices, such as recognizing phishing attempts and using strong passwords. As cyber threats evolve, cybersecurity strategies must continuously adapt to protect against new types of attacks, such as ransomware and advanced persistent threats (APTs). Ensuring robust cybersecurity is essential for protecting sensitive data and maintaining trust in digital systems.
  3. Virtualization: Virtualization is the process of creating a virtual version of something, such as hardware platforms, storage devices, or network resources. It allows multiple virtual systems to run on a single physical system, optimizing the use of resources and improving efficiency. By abstracting the physical hardware, virtualization enables more flexible and efficient use of computing resources. Virtual machines (VMs) are a core component of virtualization, where each VM operates as an independent system with its own operating system and applications. Virtualization also includes network virtualization, storage virtualization, and desktop virtualization. This technology reduces costs by consolidating physical servers, improving scalability, and enhancing disaster recovery capabilities. Popular virtualization platforms include VMware, Hyper-V, and KVM. Virtualization is foundational to cloud computing and modern IT infrastructure, enabling dynamic allocation and management of resources.
  4. Managed Services: Managed services involve outsourcing the responsibility for maintaining and anticipating the need for a range of processes and functions to improve operations and cut expenses. This is achieved through Managed Service Providers (MSPs), who handle IT functions such as network, application, infrastructure, and security management. MSPs operate on a subscription model, offering services like 24/7 monitoring, issue resolution, and IT support. Managed services help businesses focus on core objectives by offloading the complexity of IT management to specialists. This approach provides proactive management, enhances security, and ensures systems are up-to-date and compliant with industry standards. Managed services can cover a wide range of areas, including cloud services, cybersecurity, data backup, and disaster recovery. By leveraging managed services, businesses can achieve operational efficiency, reduce downtime, and gain access to advanced technology and expertise.
  5. IT Infrastructure: IT infrastructure refers to the composite hardware, software, network resources, and services required for the existence, operation, and management of an enterprise IT environment. This includes physical components like servers, data centers, routers, switches, and personal computers, as well as software components such as enterprise resource planning (ERP) systems, operating systems, and databases. IT infrastructure is essential for delivering IT services and solutions to employees, partners, and customers. A well-designed IT infrastructure supports business operations, enhances communication, and enables efficient data management and processing. Modern IT infrastructure often includes cloud-based components and virtualization to improve flexibility and scalability. Managing IT infrastructure involves ensuring the reliability, security, and performance of all components, requiring regular updates, maintenance, and monitoring. Effective IT infrastructure management is critical for business continuity, productivity, and growth.
  6. Data Analytics: Data analytics involves the process of examining raw data to draw conclusions and insights, which can help organizations make informed decisions. This process includes data collection, cleansing, processing, and analysis using various statistical and computational techniques. Data analytics can be descriptive, diagnostic, predictive, or prescriptive, each serving different purposes. Descriptive analytics provides insights into past performance, while diagnostic analytics explores the reasons behind certain outcomes. Predictive analytics forecasts future trends, and prescriptive analytics recommends actions based on the analysis. Tools and technologies used in data analytics include SQL, Python, R, Hadoop, and Tableau. Effective data analytics can identify trends, uncover hidden patterns, optimize operations, and drive strategic business decisions. As data volumes continue to grow, the ability to analyze and interpret data becomes increasingly critical for competitive advantage.
  7. Artificial Intelligence (AI): Artificial Intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (acquiring information and rules for using it), reasoning (using rules to reach approximate or definite conclusions), and self-correction. AI applications include expert systems, natural language processing (NLP), speech recognition, and machine vision. Machine learning, a subset of AI, involves the use of algorithms and statistical models to perform specific tasks without using explicit instructions, relying instead on patterns and inference. Deep learning, a further subset of machine learning, uses neural networks with many layers. AI is used in various industries, including healthcare, finance, automotive, and customer service, to automate processes, enhance decision-making, and create new products and services. AI technology continues to evolve, promising significant advancements in efficiency, innovation, and problem-solving capabilities.
  8. Machine Learning (ML): Machine Learning (ML) is a subset of artificial intelligence that involves the use of statistical techniques to enable computers to learn from and make predictions or decisions based on data. ML algorithms build a model based on sample data, known as training data, to make predictions or decisions without being explicitly programmed to perform the task. There are various types of machine learning, including supervised learning, unsupervised learning, semi-supervised learning, and reinforcement learning. Supervised learning uses labeled data to train algorithms, while unsupervised learning works with unlabeled data to identify patterns. Reinforcement learning uses a system of rewards and penalties to train models. ML is applied in numerous fields, such as finance for fraud detection, marketing for customer segmentation, healthcare for predictive diagnostics, and many more. As data availability and computational power increase, ML’s capabilities and applications continue to expand, driving innovation across industries.
  9. Big Data: Big Data refers to extremely large datasets that may be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior and interactions. Big Data is characterized by the three Vs: Volume (large amounts of data), Velocity (fast data processing), and Variety (different types of data). Handling Big Data requires advanced tools and technologies like Hadoop, Apache Spark, and NoSQL databases, which can store, process, and analyze vast amounts of data efficiently. Big Data analytics enables organizations to gain deeper insights, improve decision-making, and drive strategic initiatives. Applications of Big Data span various sectors, including finance, healthcare, marketing, and supply chain management. For instance, in healthcare, Big Data can help in predictive analytics for patient care, while in marketing, it can enhance customer targeting and personalization efforts. The ability to harness Big Data is crucial for competitive advantage and innovation in today’s data-driven world.
  10. Blockchain: Blockchain is a decentralized digital ledger technology that records transactions across many computers in such a way that the registered transactions cannot be altered retroactively. Each block in a blockchain contains a number of transactions, and every time a new transaction occurs, a record of that transaction is added to every participant’s ledger. This technology ensures transparency, security, and integrity of data, as it is resistant to modification. Blockchain is the underlying technology behind cryptocurrencies like Bitcoin and Ethereum, but its applications extend far beyond digital currencies. It is used in various sectors, including finance, supply chain management, healthcare, and government, to improve processes and enhance security. For example, in supply chain management, blockchain can provide end-to-end visibility and traceability of products. The immutable and transparent nature of blockchain makes it a powerful tool for building trust and efficiency in digital transactions.
  11. DevOps: DevOps is a set of practices that combine software development (Dev) and IT operations (Ops) to shorten the systems development life cycle and provide continuous delivery with high software quality. DevOps emphasizes collaboration, communication, and integration between software developers and IT operations teams. It aims to automate and streamline processes through tools and methodologies like continuous integration/continuous deployment (CI/CD), infrastructure as code (IaC), and monitoring. By breaking down silos and fostering a culture of collaboration, DevOps helps organizations deliver software more quickly, reliably, and efficiently. Popular DevOps tools include Jenkins, Docker, Kubernetes, Ansible, and Terraform. The adoption of DevOps practices leads to faster time-to-market, improved product quality, enhanced customer satisfaction, and increased agility in responding to market changes and business needs. DevOps is integral to modern software development and IT operations, driving innovation and efficiency.
  12. Network Security: Network security involves measures taken to protect the integrity, confidentiality, and availability of data and resources as they are transmitted across or accessed through networks. This includes protecting the network infrastructure from unauthorized access, misuse, malfunction, modification, destruction, or improper disclosure. Network security encompasses a variety of technologies, devices, and processes, including firewalls, intrusion detection and prevention systems (IDPS), virtual private networks (VPNs), and security protocols like SSL/TLS. Network security also involves implementing policies and procedures to protect against threats such as malware, ransomware, phishing, and denial-of-service (DoS) attacks. Ensuring robust network security is critical for safeguarding sensitive information, maintaining business operations, and preventing data breaches. As cyber threats become more sophisticated, network security strategies must evolve to address new vulnerabilities and protect the ever-expanding digital landscape.
  13. Business Continuity Planning (BCP): Business Continuity Planning (BCP) is the process of creating systems of prevention and recovery to deal with potential threats to a company. The goal of BCP is to ensure that personnel and assets are protected and can function quickly in the event of a disaster. BCP involves identifying critical business functions, assessing potential risks, and developing contingency plans to mitigate those risks. This includes disaster recovery plans, which focus on restoring IT systems and data, as well as operational strategies to maintain business functions. Effective BCP requires regular testing, updates, and employee training to ensure readiness. By having a robust BCP in place, organizations can minimize downtime, maintain customer trust, and ensure continuity of operations during and after a disruptive event. Business continuity is essential for resilience and long-term success in an unpredictable business environment.
  14. Virtual Private Network (VPN): A Virtual Private Network (VPN) extends a private network across a public network, enabling users to send and receive data as if their devices were directly connected to the private network. VPNs use encryption to secure data transmitted over public networks, such as the internet, ensuring privacy and security. They are commonly used by businesses to allow remote workers secure access to corporate resources and by individuals to protect their online activities and access restricted content. VPNs can be set up using various protocols, such as OpenVPN, L2TP/IPsec, and PPTP. In addition to enhancing security, VPNs can also provide anonymity by masking the user’s IP address. However, the effectiveness and security of a VPN depend on the implementation and the policies of the VPN provider. VPNs are a crucial tool in protecting sensitive information and maintaining privacy in an increasingly connected world.
  15. Software as a Service (SaaS): Software as a Service (SaaS) is a software distribution model in which applications are hosted by a service provider and made available to customers over the internet. SaaS eliminates the need for organizations to install and run applications on their own computers or data centers, reducing the costs associated with hardware, software, and maintenance. Users can access SaaS applications from any device with an internet connection, making it a flexible and scalable solution. Common examples of SaaS include email services, customer relationship management (CRM) systems, and collaboration tools. SaaS providers handle all aspects of application management, including security, availability, and performance. This model allows businesses to quickly deploy and scale applications to meet changing needs, while also benefiting from automatic updates and new features. SaaS is a key component of cloud computing, driving efficiency and innovation in software delivery.
  16. Infrastructure as a Service (IaaS): Infrastructure as a Service (IaaS) is a form of cloud computing that provides virtualized computing resources over the internet. IaaS offers businesses access to essential computing infrastructure—such as virtual machines, storage, and networks—on a pay-as-you-go basis. This eliminates the need for organizations to invest in and manage physical hardware, allowing them to scale resources up or down based on demand. IaaS providers, such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform, handle the underlying infrastructure, including maintenance, backups, and disaster recovery. IaaS enables businesses to focus on their core activities while leveraging scalable and flexible computing resources. It is particularly beneficial for startups and growing companies that require robust IT infrastructure without the capital expenditure. IaaS supports various use cases, from hosting websites and applications to running big data analytics and supporting development and testing environments.
  17. Platform as a Service (PaaS): Platform as a Service (PaaS) is a cloud computing model that provides a platform allowing customers to develop, run, and manage applications without the complexity of building and maintaining the underlying infrastructure. PaaS includes hardware and software tools available over the internet, typically as a framework that developers can use to create customized applications. This model supports the complete web application lifecycle, including building, testing, deploying, managing, and updating. PaaS solutions offer various services, such as databases, middleware, development tools, and infrastructure management. Examples of PaaS providers include Google App Engine, Microsoft Azure App Service, and Heroku. By using PaaS, developers can focus on writing code and deploying applications while the service provider handles the infrastructure, reducing time to market and increasing efficiency. PaaS is ideal for agile development and continuous integration/continuous deployment (CI/CD) environments.
  18. Disaster Recovery as a Service (DRaaS): Disaster Recovery as a Service (DRaaS) is a cloud computing service model that allows organizations to back up their data and IT infrastructure in a third-party cloud environment and provides failover in the event of a disaster. DRaaS ensures business continuity by replicating and hosting physical or virtual servers to provide failover in case of man-made or natural catastrophes. This service enables quick recovery and minimizes downtime and data loss. DRaaS is particularly beneficial for businesses with limited in-house disaster recovery resources or expertise. Providers handle all aspects of disaster recovery, including data replication, failover, and failback processes. DRaaS can be more cost-effective and flexible compared to traditional disaster recovery methods, as it leverages the scalability and cost efficiency of cloud computing. Implementing DRaaS helps organizations protect critical data, maintain operations, and ensure resilience in the face of unexpected disruptions.
  19. Identity and Access Management (IAM): Identity and Access Management (IAM) is a framework of policies and technologies to ensure that the right individuals have access to the right resources at the right times for the right reasons. IAM systems manage the identification, authentication, and authorization of users to access systems and resources. This involves user provisioning, password management, single sign-on (SSO), and multi-factor authentication (MFA). Effective IAM ensures security, compliance, and operational efficiency by controlling access to sensitive information and systems. IAM solutions help prevent unauthorized access, mitigate security risks, and ensure that access rights are granted based on roles and responsibilities. IAM is critical in today’s digital landscape, where organizations must manage access across a wide range of applications, devices, and environments, both on-premises and in the cloud. By implementing robust IAM practices, organizations can enhance security, streamline access management, and support compliance with regulatory requirements.
  20. Internet of Things (IoT): The Internet of Things (IoT) refers to the network of physical objects—devices, vehicles, buildings, and other items—embedded with sensors, software, and connectivity to enable them to collect and exchange data. IoT allows these objects to be sensed and controlled remotely across existing network infrastructure, creating opportunities for more direct integration of the physical world into computer-based systems. This results in improved efficiency, accuracy, and economic benefit. IoT applications span various sectors, including smart homes, healthcare, manufacturing, transportation, and agriculture. For example, in healthcare, IoT devices can monitor patients’ vital signs in real-time, while in agriculture, IoT sensors can optimize irrigation and monitor crop health. The rapid growth of IoT is driven by advances in wireless communication, sensor technology, and data analytics. As IoT continues to evolve, it is transforming industries and daily life by enabling smarter, more connected systems and environments.
  21. Artificial Intelligence (AI): Artificial Intelligence (AI) involves the simulation of human intelligence in machines that are programmed to think and learn. AI encompasses various subfields, including machine learning, natural language processing, and robotics. AI technologies enable computers to perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. Machine learning, a subset of AI, uses algorithms and statistical models to enable systems to improve their performance on a task through experience. AI is applied in numerous areas, including healthcare for diagnostic imaging, finance for fraud detection, and customer service for chatbots. The continuous advancement of AI promises to transform industries and improve efficiencies by automating complex processes, providing insights from large datasets, and enhancing human capabilities. As AI technology evolves, it raises important ethical and societal considerations regarding its impact on jobs, privacy, and decision-making.
  22. Business Intelligence (BI): Business Intelligence (BI) refers to technologies, applications, and practices for the collection, integration, analysis, and presentation of business information. The purpose of BI is to support better business decision-making. BI systems provide historical, current, and predictive views of business operations by analyzing data from various sources. Common BI functions include reporting, online analytical processing (OLAP), data mining, process mining, business performance management, benchmarking, and predictive analytics. BI tools and platforms, such as Microsoft Power BI, Tableau, and Qlik, help organizations visualize and analyze data to uncover insights and trends. Effective use of BI enables businesses to make informed decisions, improve operational efficiency, identify market opportunities, and enhance competitive advantage. By leveraging BI, organizations can turn data into actionable insights, driving strategic initiatives and improving overall performance.
  23. Information Security (InfoSec): Information Security (InfoSec) involves protecting information and information systems from unauthorized access, use, disclosure, disruption, modification, or destruction. The goal of InfoSec is to ensure the confidentiality, integrity, and availability (CIA) of data. InfoSec encompasses various strategies and technologies, including encryption, firewalls, intrusion detection systems (IDS), and identity and access management (IAM). It also involves establishing policies and procedures to manage risks, such as incident response plans and security awareness training for employees. InfoSec is critical for protecting sensitive information, maintaining customer trust, and complying with regulatory requirements. As cyber threats evolve, InfoSec practices must continually adapt to address new vulnerabilities and threats. Effective InfoSec requires a holistic approach, integrating people, processes, and technology to safeguard information assets and ensure the resilience of information systems.
  24. Digital Transformation: Digital Transformation involves the integration of digital technology into all areas of a business, fundamentally changing how it operates and delivers value to customers. It encompasses a cultural shift that requires organizations to continually challenge the status quo, experiment, and adapt to change. Digital transformation involves the adoption of technologies such as cloud computing, big data analytics, artificial intelligence, and the Internet of Things (IoT) to enhance business processes, improve customer experiences, and drive innovation. This transformation can lead to increased efficiency, reduced costs, and new revenue streams. For example, implementing cloud-based solutions can improve scalability and flexibility, while data analytics can provide actionable insights for decision-making. Successful digital transformation requires strong leadership, a clear strategy, and a focus on aligning technology with business objectives. It is essential for businesses to remain competitive in an increasingly digital world.
  25. Enterprise Resource Planning (ERP): Enterprise Resource Planning (ERP) is a type of software that organizations use to manage and integrate the important parts of their businesses. An ERP software system can integrate planning, purchasing inventory, sales, marketing, finance, human resources, and more. By centralizing data from different business processes, ERP systems improve the flow of information across an organization, enhancing coordination and decision-making. Popular ERP solutions include SAP, Oracle, and Microsoft Dynamics. Implementing an ERP system can streamline operations, reduce costs, and improve overall efficiency by providing a unified view of business activities. ERP systems are critical for managing large, complex organizations, but they can also benefit smaller businesses by providing robust tools for managing growth and operational complexity. Successful ERP implementation requires careful planning, change management, and ongoing support to realize its full potential.
  26. Unified Communications (UC): Unified Communications (UC) is the integration of various communication methods within an organization, enabling users to communicate and collaborate more effectively. UC includes voice, video, messaging, email, and conferencing solutions that are accessible from a single interface. The goal of UC is to streamline communication processes, improve collaboration, and increase productivity by providing seamless connectivity across different devices and locations. UC solutions, such as Microsoft Teams, Cisco Webex, and Zoom, offer features like presence detection, instant messaging, voice and video calling, and file sharing. By integrating these tools, UC enhances real-time communication and supports remote and hybrid work environments. Implementing UC can reduce costs associated with multiple communication platforms, improve user experience, and support business agility. As organizations continue to adapt to new ways of working, UC is becoming increasingly essential for effective communication and collaboration.
  27. Service Level Agreement (SLA): A Service Level Agreement (SLA) is a contract between a service provider and a customer that specifies the expected level of service. SLAs define the metrics by which service is measured, such as uptime, response time, and resolution time, as well as the remedies or penalties if the agreed-upon service levels are not met. SLAs are essential for setting clear expectations, ensuring accountability, and providing a framework for managing service quality. They are commonly used in IT services, telecommunications, and cloud computing. For example, a cloud service provider might guarantee 99.9% uptime for their services, with specific compensations for any downtime beyond that limit. SLAs also outline the responsibilities of both parties, including support hours, maintenance schedules, and security measures. By clearly defining service expectations and obligations, SLAs help build trust, enhance customer satisfaction, and drive continuous improvement in service delivery.
  28. Endpoint Security: Endpoint Security refers to the practice of securing endpoints or entry points of end-user devices such as desktops, laptops, and mobile devices from being exploited by malicious actors. Endpoint security systems protect these devices from threats such as malware, ransomware, phishing, and unauthorized access. Solutions include antivirus software, endpoint detection and response (EDR) tools, and mobile device management (MDM) systems. Endpoint security is crucial in today’s landscape, where remote work and bring-your-own-device (BYOD) policies have increased the number of endpoints accessing corporate networks. Effective endpoint security involves a combination of technology, policies, and user education to mitigate risks and protect sensitive data. By securing endpoints, organizations can prevent breaches, ensure compliance with regulatory requirements, and maintain the integrity of their IT environments.
  29. Network Operations Center (NOC): A Network Operations Center (NOC) is a centralized location where IT professionals monitor, manage, and maintain an organization’s IT infrastructure, including networks, servers, and applications. The NOC is responsible for ensuring the optimal performance and availability of IT systems by monitoring for issues, troubleshooting problems, and coordinating responses to incidents. NOCs use various tools and technologies for network monitoring, performance analysis, and alerting. They also handle tasks such as software updates, security patches, and backup management. The primary goal of a NOC is to minimize downtime and ensure business continuity by proactively managing and resolving IT issues. Effective NOC operations are critical for maintaining the health and performance of IT environments, supporting operational efficiency, and enhancing the user experience.
  30. Help Desk: A Help Desk is a centralized resource that provides support and information to users experiencing issues with IT services or products. Help Desks handle a range of tasks, including troubleshooting technical problems, answering queries, and providing guidance on software and hardware usage. They are typically structured with different levels of support, from basic assistance to advanced technical support. Help Desks use ticketing systems to manage and track support requests, ensuring timely resolution and effective communication with users. They play a crucial role in maintaining user productivity, enhancing customer satisfaction, and ensuring the smooth operation of IT systems. In addition to reactive support, Help Desks often provide proactive services, such as software updates and user training. Effective Help Desk management involves implementing best practices, continuous improvement, and leveraging technology to deliver high-quality support services.
  31. IT Governance: IT Governance refers to the framework and processes that ensure the effective and efficient use of IT in enabling an organization to achieve its goals. It involves aligning IT strategy with business strategy, managing IT resources, ensuring compliance with regulations, and mitigating IT risks. Key components of IT governance include strategic planning, risk management, performance measurement, and resource allocation. Frameworks like COBIT, ITIL, and ISO/IEC 38500 provide guidelines and best practices for implementing IT governance. Effective IT governance ensures that IT investments deliver value, support business objectives, and operate within acceptable risk parameters. It also enhances accountability, transparency, and decision-making within the organization. By implementing robust IT governance practices, organizations can optimize their IT resources, improve service delivery, and ensure alignment with overall business goals.
  32. Agile Methodology: Agile Methodology is an iterative and incremental approach to software development that emphasizes flexibility, collaboration, and customer satisfaction. Agile methods prioritize delivering small, functional pieces of software frequently, allowing for continuous feedback and improvement. Key principles of Agile include adaptive planning, early delivery, and continuous improvement. Agile frameworks, such as Scrum and Kanban, provide specific practices and roles for implementing Agile principles. Scrum, for example, organizes work into sprints, with cross-functional teams working on defined tasks and holding regular meetings to review progress. Kanban focuses on visualizing work, managing flow, and limiting work in progress. Agile methodologies enhance the ability to respond to changing requirements, improve product quality, and increase collaboration between development teams and stakeholders. By adopting Agile, organizations can deliver value more quickly, reduce risks, and improve customer satisfaction.
  33. IT Service Management (ITSM): IT Service Management (ITSM) refers to the activities involved in designing, creating, delivering, supporting, and managing the lifecycle of IT services. ITSM focuses on aligning IT services with the needs of the business and improving the quality of service delivery. Frameworks like ITIL (Information Technology Infrastructure Library) provide best practices for ITSM, covering areas such as service strategy, service design, service transition, service operation, and continual service improvement. Key processes in ITSM include incident management, problem management, change management, and service level management. ITSM tools, such as ServiceNow and BMC Remedy, help organizations implement and manage ITSM practices. Effective ITSM enhances operational efficiency, reduces downtime, improves user satisfaction, and ensures compliance with regulatory requirements. By adopting ITSM, organizations can deliver IT services that meet business needs and support overall strategic objectives.
  34. Zero Trust Security: Zero Trust Security is a security model that operates on the principle that no user or device, inside or outside the network, should be trusted by default. Instead, it requires continuous verification of all users and devices attempting to access resources. Zero Trust involves enforcing strict access controls, verifying identity and device health, and monitoring all network traffic. Key components of a Zero Trust architecture include multi-factor authentication (MFA), least privilege access, micro-segmentation, and continuous monitoring. This approach addresses the limitations of traditional perimeter-based security models, which assume that everything inside the network is trusted. By implementing Zero Trust, organizations can reduce the risk of data breaches, limit the impact of compromised credentials, and enhance overall security posture. Zero Trust is particularly relevant in today’s environment of remote work, cloud computing, and sophisticated cyber threats.
  35. Virtualization: Virtualization is the process of creating virtual instances of physical resources, such as servers, storage devices, and network components. It allows multiple virtual machines (VMs) to run on a single physical machine, optimizing resource utilization and improving efficiency. Virtualization technology, such as hypervisors (e.g., VMware, Hyper-V, KVM), abstracts the underlying hardware and provides isolated environments for each VM. This enables better resource management, scalability, and flexibility. Virtualization also enhances disaster recovery, testing, and development by allowing for easy creation, modification, and backup of virtual environments.

Thank you for exploring the IT Services Glossary at LaunchITS. We hope this resource has been valuable in expanding your understanding of the terminology and concepts that shape the world of information technology. As technology continues to advance and reshape the way we live and work, staying informed and knowledgeable about IT services is more important than ever.

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