Enterprise Technology Glossary

6,173 results · page 24 of 309

• Automated Fault Localization

  Automated fault localization is a software engineering process that uses analysis of execution and test data to rank code elements by their likelihood of containing faults, helping enterprises reduce debugging effort, lower resolution time, and manage software quality at scale.

• Automated Fault Recovery

  Automated fault recovery is a set of mechanisms that detect system or service faults and restore operation without human intervention, using predefined policies, redundancy, and control logic, which helps enterprises maintain availability, meet reliability targets, and standardize incident response.

• Automated Fault Simulation

  Automated fault simulation is a verification technique that uses software to inject modeled faults into digital circuit or system representations and evaluate whether test patterns detect them, supporting test coverage measurement, defect risk assessment, and compliance with safety or reliability requirements in enterprise hardware development.

• Automated Guided Vehicle

  Automated guided vehicle is a computer-controlled, wheeled mobile robot that transports materials along predefined routes in industrial and logistics facilities without onboard human operators, used within enterprise intralogistics to automate repetitive material flows and integrate with wider operational and planning systems.

• Automated Incident Response

  Automated incident response is the use of predefined, machine-executable workflows to detect, triage, contain, and remediate security incidents with minimal human intervention, enabling consistent incident handling, reduced manual workload, and measurable response performance in enterprise security operations and governance contexts.

• Automated Insight Generator

  Automated insight generator is a software capability that uses statistical, machine learning, or rule-based methods to automatically detect patterns and surface analytic findings from enterprise data, supporting monitoring and decision-support workflows across domains such as operations, security, customer analytics, and finance.

• Automated Model Deployment

  Automated model deployment is the controlled, tool-based process of moving trained machine learning models into target environments with minimal manual work. It matters in enterprises because it enables repeatable, governed releases of models aligned with MLOps, compliance, and operational reliability requirements.

• Automated Model Verification

  Automated model verification is a tool-based process that uses formal or semi-formal methods to check whether system or software models satisfy specified properties and requirements, supporting assurance, risk management, and compliance in safety-, security-, and regulation-intensive enterprise environments.

• Automated moving target defense

  Automated moving target defense is a cybersecurity approach that uses automated, continuous changes to system configurations and attack surfaces to constrain attacker reconnaissance, exploitation reliability, and dwell time, providing enterprises with an additional control layer for risk management and cyber resilience.

• Automated Orchestration

  Automated orchestration is the coordinated execution of multiple automated tasks and workflows by software, used by enterprises to manage complex operations across applications, infrastructure, and security domains under defined policies, dependencies, and governance controls.

• Automated Quality Check

  Automated quality check is a rule-based or model-based process in which software evaluates products, data, or digital artifacts against predefined quality criteria, enabling consistent inspection, auditability, and enforcement of enterprise quality standards across manufacturing, software delivery, data pipelines, and other operational workflows.

• Automated Reasoning Engine

  Automated reasoning engine is a software component that uses formal logic and algorithmic inference to check rules, constraints, or models, enabling enterprises to verify correctness, consistency, and policy compliance within systems, configurations, and decision-support or formal verification workflows.

• Automated Remediation

  Automated remediation is the use of software-driven workflows to execute predefined corrective actions on IT, security, or data issues without manual handling of each event, helping enterprises enforce consistent responses, reduce exposure windows, and support compliance and auditability.

• Automated Resilience Testing

  Automated resilience testing is the software-based execution of predefined fault, stress, and recovery scenarios to verify how enterprise systems maintain operation and recover under adverse conditions. It matters because it provides repeatable evidence for availability, reliability, and continuity objectives and risk management.

• Automated Resource Balancer

  Automated resource balancer is a control mechanism that monitors compute, storage, or network utilization and automatically reallocates resources across workloads using predefined policies and real-time metrics, helping enterprises maintain performance targets, capacity efficiency, and governance constraints in shared or multi-tenant environments.

• Automated Retraining Pipeline

  Automated retraining pipeline is a programmatic workflow that monitors live model behavior, triggers retraining on updated data, and validates and redeploys machine learning models in a repeatable, governed way, enabling enterprises to maintain model performance and compliance as data changes.

• Automated Root Cause Analysis

  Automated root cause analysis is a software-based method that applies analytics and correlation to operational data to identify underlying causes of incidents or performance issues, helping enterprises reduce investigation time and support consistent, cause-focused remediation and reliability practices across complex systems.

• Automated Waste Collection

  Automated waste collection is a waste management method that uses fixed pipe networks, vacuum transport, and control systems to move waste from distributed inlets to a central terminal, relevant to urban planners and facility operators designing integrated, data-enabled waste infrastructures.

• Automatic Generation Control

  Automatic generation control is a closed-loop control function in power systems that adjusts generator outputs to maintain system frequency and scheduled interchange, supporting reliability, regulatory compliance, and delivery of regulation and balancing services in utility and transmission operator environments.

• Automatic Mixed Precision

  Automatic mixed precision is a deep learning training optimization technique that uses both lower- and higher-precision floating-point formats to improve computational and memory efficiency while preserving accuracy, which matters for enterprises seeking to control infrastructure cost and resource use in AI workloads.