Explore commonly used Cloud Data Security terms.
Amazon CloudWatch is a monitoring and observability service provided by Amazon Web Services (AWS). It allows users to collect and track metrics, collect and monitor log files, set alarms, and visualize and analyze data from various AWS resources and applications. CloudWatch provides a centralized platform for monitoring the health, performance, and availability of AWS resources and applications, enabling users to gain insights, troubleshoot issues, and optimize the performance of their AWS infrastructure.
Amazon Elastic Block Store (EBS) is a block-level storage service for Amazon EC2 instances, offering durable and reliable virtual hard drives that can be easily attached, detached, and resized. It provides persistent storage volumes with automatic data replication within a specific Availability Zone, ensuring data durability and flexibility for EC2 instances.
Amazon Macie is an AWS service that uses machine learning to automatically detect, classify, and safeguard sensitive data stored in the cloud, helping organizations maintain data security and compliance. It identifies and alerts on potential data breaches, monitors data access patterns, and provides actionable insights to protect valuable information.
Amazon Quantum Ledger Database (QLDB) is a fully managed and transparently immutable database service by AWS. It utilizes blockchain technology to provide an auditable and tamper-proof ledger of all database transactions and changes, ensuring data integrity and enabling secure and verifiable applications.
Azure Disk Storage is a managed cloud storage service in Microsoft Azure that provides durable and high-performance block storage for virtual machines (VMs) and other Azure services, enabling reliable storage for operating systems, applications, and data with options for scalability, redundancy, and performance optimization.
Azure Files is a cloud-based file storage service provided by Microsoft Azure that offers fully managed file shares accessible over the Server Message Block (SMB) protocol, allowing organizations to store and access files from anywhere and integrate seamlessly with Azure services and on-premises environments.
CPRA, or the California Privacy Rights Act, is a California state law that enhances consumer privacy rights by expanding regulations on data collection, processing, and sharing, and establishing stricter requirements for businesses in relation to data protection and user privacy.
Container security involves implementing measures to protect the integrity and isolation of containerized applications and their underlying infrastructure. It focuses on mitigating vulnerabilities, enforcing access controls, monitoring runtime behavior, and ensuring secure container image management to prevent unauthorized access, data breaches, and malicious activities.
Data integrity refers to the accuracy, consistency, and reliability of data throughout its lifecycle, ensuring that information remains complete, unaltered, and valid. It involves maintaining the integrity of data from creation to storage and retrieval, safeguarding against unauthorized modifications, corruption, or loss.
Data lineage refers to the historical record or lineage of a data element, tracking its origins, transformations, and movements throughout its lifecycle. It provides a detailed understanding of how data flows and changes within an organization, enabling traceability, data quality analysis, and compliance with regulations.
Data localization refers to the practice of storing and processing data within specific geographic boundaries, typically mandated by legal or regulatory requirements. It aims to ensure data remains within the jurisdiction of a particular country or region, often for reasons such as data protection, privacy, or compliance with local laws.
Data mining refers to the process of extracting valuable insights, patterns, and knowledge from large datasets. It involves the application of various statistical and machine learning techniques to uncover hidden patterns, correlations, and trends within the data, enabling organizations to make informed decisions and predictions.
Data science encompasses the interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It combines elements of statistics, mathematics, programming, and domain expertise to collect, analyze, and interpret data, ultimately providing actionable insights and solutions for business or scientific purposes.
SaaS Security Posture Management (SSPM) are automated security tools that allow for constant monitoring of cloud-based SaaS applications. These tools identify misconfigurations, excessive user permissions, and unnecessary user accounts, helping IT and security teams to ensure compliance with internal policies and external regulations.