Glossary Category: D

Cloud platforms or services specifically architected to store, manage, and analyze large-scale, enterprise data assets. They support scalable storage, analytics, governance, and AI/ML workloads.

A model in which computation is carried out across multiple networked computers working together, enabling workload scaling, resilience, and parallel processing.

The process and capability by which users or applications retrieve or manipulate data stored in repositories. Controlled through authentication, authorization, and secure interfaces to ensure data privacy and compliance.

A classification system defining data center infrastructure availability and reliability levels, ranging from Tier I to Tier IV. Each tier specifies requirements for power, cooling, redundancy, and uptime guarantees.

An AI approach where multiple AI agents or systems collaborate or operate independently across different locations or devices to solve complex problems. It enables scalability and fault tolerance beyond centralized AI models. UnityOne.AI’s platform architecture supports agentic AI workflows distributed

The abstraction of physical data center resources such as servers, storage, and networks into virtualized pools that can be dynamically allocated and managed. Virtualization improves resource efficiency, scalability, and flexibility. UnityOne.AI provides unified visibility, automation and control across all data

A cyberattack where multiple compromised systems flood a target (server, network, application) with excessive traffic, overwhelming resources and causing service disruption. Defenses include traffic filtering, rate limiting, and anomaly detection. UnityOne.AI helps monitor network patterns and respond to DDoS incidents

A set of tools and processes designed to detect, prevent, and respond to unauthorized data access, leakage, or exfiltration from an organization’s network or systems. DLP solutions monitor data in use, in motion, and at rest.

Measures, technologies, and policies implemented to protect data center assets—hardware, software, network, and data—from unauthorized access, attacks, and breaches. This includes physical security, network segmentation, intrusion detection, and compliance enforcement. UnityOne.AI integrates AI-powered breach detection and automated remediation into data

Digital repositories where data is held for access and use, including databases, data lakes, data warehouses, and flat files. Data stores vary by structure (relational, non-relational), performance needs, and intended workloads. UnityOne.AI monitors and optimizes utilization across multi-cloud data stores