Enterprise Technology Glossary

6,173 results · page 239 of 309

• Runtime Environment

  Runtime environment is the software context that loads and executes applications, managing code, libraries, memory, and system interactions. It matters in enterprises because it governs portability, security controls, performance characteristics, and operational consistency for applications across data center and cloud infrastructure.

• Runtime Environment Manager

  Runtime environment manager is a software control layer that defines and maintains the application execution environment, including language runtimes and dependencies, to support reproducibility, consistency, and governance across enterprise development, testing, and production landscapes.

• Runtime Environment Variable

  Runtime environment variable is a name–value pair exposed by an operating system or runtime environment that applications read during execution. It matters in enterprises because it externalizes configuration, supports controlled deployments, and enables governance of settings and secrets across environments.

• Runtime Error Correction

  Runtime error correction is the detection and remediation of software or hardware faults while a system executes, used in enterprises to maintain availability, data integrity, and reliability in production environments without requiring restarts or redeployments.

• Runtime Error Mitigation

  Runtime error mitigation is the collection of techniques and controls that detect and contain software errors while code executes, helping enterprises preserve availability, process integrity, and security across production applications, platforms, and services when faults or abnormal conditions occur at runtime.

• Runtime Memory Manager

  Runtime Memory Manager is a software component that allocates, tracks, and reclaims memory for executing programs, which matters in enterprise environments because it affects application performance, reliability, security posture, and infrastructure resource usage across operating systems, runtimes, and distributed platforms.

• Runtime Model Versioning

  Runtime model versioning is the controlled management of multiple machine learning or AI model versions running in production, enabling enterprises to route traffic, monitor behavior, and govern updates, rollbacks, and audits of deployed models across their operational environments.

• Runtime Performance Autotuning

  Runtime performance autotuning is the automated adjustment of software or system configuration parameters during execution to optimize metrics such as latency, throughput, and resource utilization, which helps enterprises maintain performance objectives and resource efficiency under changing workloads and hardware conditions.

• Runtime Policy Engine

  Runtime Policy Engine is a component that evaluates and enforces machine-readable policies during software execution, enabling enterprises to centralize governance, security, and compliance decisions and apply them consistently across applications, services, and infrastructure without changing or redeploying business logic.

• Runtime Profiler

  Runtime profiler is a software tool that measures and analyzes application behavior and resource usage while code executes, which helps enterprise teams understand performance characteristics, locate bottlenecks, and align production workloads with architectural, reliability, and cost objectives.

• Runtime Protection

  Runtime protection is a set of security controls that monitor and enforce protections on applications and workloads while they execute, helping enterprises detect and block runtime threats, contain exploit attempts, and support continuous monitoring and compliance in production environments.

• Runtime Security

  Runtime security is the practice and tooling that monitor and protect applications, workloads, and infrastructure while they execute, providing real-time detection and mitigation of active threats, policy violations, and anomalous behavior in enterprise production and cloud environments.

• Runtime Security Agent

  Runtime security agent is a software component that observes and enforces security controls on workloads while they run, helping enterprises detect malicious behavior, policy violations, and configuration issues in production or other active environments for security operations and compliance purposes.

• Runtime Threat Detection Engine

  Runtime threat detection engine is a security component that monitors live system and application activity to identify and alert on potential threats or policy violations, supporting enterprise detection, response, compliance monitoring, and security operations across endpoints, servers, and cloud workloads.

• SaaS Security

  SaaS security is the set of controls, processes, and architectures used to protect software-as-a-service applications and their data in cloud environments, enabling enterprises to manage risk, meet regulatory requirements, and maintain secure access and configuration across multiple SaaS providers.

• Safe Reinforcement Learning

  Safe reinforcement learning is a branch of reinforcement learning that embeds explicit safety constraints and risk-aware objectives into the learning process, enabling enterprises to deploy learning-based decision systems in regulated or safety-sensitive environments while enforcing predefined operational and compliance boundaries.

• Safety Assurance Layer

  Safety assurance layer is an architectural or control layer that monitors and constrains system behavior to keep operations within defined safety, reliability, and compliance boundaries, supporting risk management, regulatory alignment, and verifiable safety in complex or safety-critical enterprise systems.

• Safety Compliance

  Safety compliance is the structured adherence to legally mandated and standards-based safety requirements across workplaces, products, and operations, enabling organizations to manage safety risks, maintain regulatory conformity, and document programs that support oversight, audits, and enterprise governance and risk management practices.

• Safety Controller

  Safety controller is a dedicated control unit that executes safety-related logic and monitoring to keep machinery and automated systems within defined safe operating conditions in line with functional safety standards, supporting regulatory compliance and structured risk reduction in enterprises.

• Safety-Critical AI System

  Safety-critical AI system refers to an artificial intelligence-based system whose malfunction, erroneous output, or unintended behavior can cause harm to people, property, or the environment and therefore must follow formal safety, regulatory, and assurance processes in enterprise contexts.