// THREAT DETECTION AND DATA PRIVACY TERM
Data Lifecycle
The complete journey of information from its creation or collection, through its use and storage, to its eventual archiving or destruction. It describes all the stages a piece of data goes through during its existence.
TECHNICAL DEFINITION
The Data Lifecycle defines the comprehensive set of stages a specific dataset traverses, encompassing its initial generation or acquisition, subsequent storage, active usage, sharing, archiving, and ultimate secure disposal or deletion. Within cybersecurity and defense, robust management of the Data Lifecycle is paramount for upholding data governance, achieving privacy compliance (e.g., GDPR, CCPA), and implementing stringent security controls across every phase of data's existence.
BACKGROUND
Cybersecurity in space involves the defense of all space assets. The security of space can be affected by attacks such as disruption, corruption as well as the destruction of depended-upon assets/collected data.
READ MORE ON WIKIPEDIASYNONYMS & ALIASES
- Information Lifecycle
- Data Management Lifecycle
- Data Flow
- Data Journey
- Data Genesis to Deletion
USAGE NOTE
Understanding the Data Lifecycle is crucial for establishing policies around data retention, access controls, and secure disposal, especially in meeting regulatory compliance and privacy mandates across all data stages.
DEVELOPERS
Organizations developing technology related to Data Lifecycle.
IBM offers comprehensive data governance, security, and compliance solutions that manage sensitive data throughout its lifecycle, from creation to deletion, critical for cybersecurity and defense organizations.
Microsoft provides robust data lifecycle management capabilities through its Azure Government cloud, Microsoft 365 compliance features, and security solutions like Azure Information Protection, ensuring data integrity and security for defense and government entities.
Palantir develops data integration and analysis platforms (e.g., Foundry, Gotham) that enable defense and intelligence agencies to manage, secure, and derive insights from vast amounts of data throughout its entire lifecycle.
AWS offers a suite of cloud services, including AWS GovCloud (US), that provide secure storage, encryption, compliance, and lifecycle management tools for sensitive government and defense data, enabling secure data handling from ingestion to archiving.
Splunk's data platform provides real-time visibility and analysis across an organization's data, facilitating security operations and incident response by managing machine data throughout its lifecycle for defense and intelligence agencies.
Varonis specializes in data security, governance, and data loss prevention (DLP) solutions that monitor and protect sensitive data across its entire lifecycle within an organization's infrastructure, crucial for defense sector compliance and threat mitigation.
NetApp provides data storage and management solutions that enable defense organizations to securely manage data throughout its lifecycle, including backup, recovery, compliance, and secure data access, often in hybrid cloud environments.
Forcepoint offers data-first SASE and data loss prevention (DLP) technologies that protect sensitive government and defense data throughout its lifecycle, ensuring secure access and preventing exfiltration regardless of location.