Enterprise Technology Terminology

5,405 results · page 18 of 271

• Application Virtualization

  Application virtualization is a software technology that decouples applications from the underlying operating system and delivers them as centrally managed, isolated services, which matters in enterprises for standardized application delivery, reduced endpoint conflicts, and more controlled lifecycle and configuration management.

• Application Whitelisting

  Application whitelisting is a security control that restricts systems to running only preapproved software and code, using a default-deny model that supports malware defense, system hardening, and compliance with enterprise security and change-management policies.

• Architectural Zoning Plan

  Architectural zoning plan is a documented scheme that partitions an enterprise architecture into discrete zones with defined purposes, trust levels, and interaction rules, providing a consistent structure for managing complexity, security, and governance across business, data, application, and technology environments.

• Artifact Repository

  Artifact repository is a centralized system for storing, versioning, and distributing built software artifacts such as binaries, containers, and packages in enterprise CI/CD workflows. It matters because it enables controlled, auditable, and secure delivery of deployable software across environments.

• Artifact Repository Manager

  Artifact repository manager is a server-based system that centralizes storage and distribution of compiled software artifacts and binary dependencies, supporting controlled builds, releases, and software supply chain governance for enterprises that use automated development, integration, and deployment practices.

• Artificial General Intelligence

  Artificial general intelligence is a hypothetical form of AI that would perform a broad range of intellectual tasks at a human-comparable level across domains. It matters in enterprises as a long-term planning, risk, and governance concept rather than a current deployment category.

• Artificial Intelligence

  Artificial intelligence (AI) is a branch of computer science that builds systems capable of performing tasks associated with human cognitive functions, and it matters in enterprise contexts because it supports automation, analytics, and decision support across applications, data platforms, and operations.

• Artificial Intelligence Act

  Artificial Intelligence Act is a European Union regulation that introduces a risk-based legal framework for AI systems, defining obligations for providers and users. It matters to enterprises because it governs how AI can be developed, deployed, and managed in the EU market.

• Artificial Intelligence Cloud

  Artificial intelligence cloud is a cloud computing environment that delivers managed infrastructure, platforms, and services for building, training, and operating AI and machine learning workloads at enterprise scale, enabling centralized governance, integration with data platforms, and standardized deployment of AI solutions.

• Artificial Intelligence Security

  Artificial intelligence security is the discipline that protects AI models, data, and pipelines from threats, vulnerabilities, and misuse across their lifecycle, enabling enterprises to operate AI systems in line with security, resilience, compliance, and governance requirements.

• Asset Discovery

  Asset discovery is the process and tooling used to identify, inventory, and categorize all IT, OT, and cloud resources in an enterprise, providing the current asset data required for security controls, risk management, compliance reporting, and operational decision-making.

• Asset Inventory

  Asset inventory is a structured, continuously maintained record of an organization’s hardware, software, data, and related technology resources, providing authoritative visibility for security, compliance, risk management, IT operations, and governance across on-premises, cloud, virtual, and mobile environments.

• Asset Inventory Management

  Asset inventory management is the set of processes and tools that maintain an accurate, current register of an organization’s hardware, software, cloud, and other technology assets, enabling IT, security, and risk teams to manage operations, controls, and compliance more effectively.

• Asset Lifecycle

  Asset lifecycle is the structured sequence of stages that an enterprise asset passes through from planning and acquisition to operation, maintenance, and retirement, used to coordinate cost, risk, performance, and compliance decisions across engineering, IT, finance, and security functions.

• Asset Lifecycle Management System

  Asset lifecycle management system is an information system that manages and records the planning, acquisition, use, maintenance, and retirement of organizational assets, providing a single source of asset data that supports financial control, risk management, compliance, and operational planning.

• Asset Provenance Ledger

  Asset provenance ledger is a tamper-resistant record of an asset’s origin, ownership, and lifecycle events, used in enterprises to verify integrity, traceability, and auditability of physical, digital, or data assets across systems, partners, and regulatory or compliance contexts.

• Asset Recovery Program

  Asset recovery program is a structured set of enterprise processes for reclaiming, redeploying, reselling, or disposing of retired physical and digital assets in a controlled manner, supporting value recovery, secure data handling, regulatory compliance, and accurate IT asset governance.

• Asset Tracking System

  Asset tracking system is a hardware and software framework that assigns unique identifiers to physical or digital assets, records their location and status, and maintains lifecycle data to support inventory accuracy, governance, security monitoring and compliance in enterprise environments.

• Assurance Framework

  Assurance framework is a structured model of principles, processes, controls, and evidence used by organizations to verify and demonstrate that systems and operations meet defined risk, compliance, and quality objectives in a consistent, auditable, and repeatable manner.

• Astrophysics Modeling

  Astrophysics modeling uses mathematical equations and computational simulations to represent and study astronomical objects and phenomena under physical laws. It matters in enterprise and research contexts because it drives requirements for high-performance computing, data platforms, and scientific workflow and infrastructure design.