// THREAT DETECTION AND DATA PRIVACY TERM

Data Handling

Data handling refers to the processes and procedures for managing data securely throughout its entire lifecycle. This includes how information is collected, stored, used, shared, and ultimately destroyed.

Data Handling — illustration from Wikipedia
Image via Wikipedia

TECHNICAL DEFINITION

Data handling is a component of information governance that encompasses the policies, procedures, and security controls for managing digital and physical data throughout its lifecycle, from creation/collection to processing, storage, transmission, and final disposition or destruction, ensuring compliance with legal frameworks like GDPR, HIPAA, and CCPA.

BACKGROUND

Computer security is a subdiscipline within the field of information security. It focuses on protecting computer software, systems, and networks from threats that can lead to unauthorized information disclosure, theft, or damage to hardware, software, or data, as well as to the disruption or misdirection of the services they provide.

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SYNONYMS & ALIASES

  • information handling
  • data management
  • data lifecycle management
  • information governance
  • data stewardship
  • data security practices

USAGE NOTE

Organizations typically document their specific procedures in a formal 'Data Handling Policy' to ensure consistent and compliant practices by all employees.

DEVELOPERS

Organizations developing technology related to Data Handling.

  • Varonis Systems

    Develops a leading data security platform that automatically discovers and classifies sensitive data, manages permissions, and detects threats by analyzing data activity across on-premises and cloud environments.

  • Forcepoint

    Provides data-first security solutions, including Data Loss Prevention (DLP), insider threat protection, and Cloud Access Security Broker (CASB) technologies to protect critical data and intellectual property.

  • Thales Group

    Offers advanced data security solutions through its CipherTrust Data Security Platform, which provides data discovery, classification, encryption, and centralized key management to protect sensitive data at rest, in motion, and in use.

  • Rubrik

    Specializes in cyber resilience and data security, providing a platform that secures backup data with immutability, detects sensitive data exposure, and enables rapid recovery from cyberattacks like ransomware.

  • Palo Alto Networks

    Integrates Enterprise Data Loss Prevention (DLP) into its security platform to consistently discover, monitor, and protect sensitive data across all networks, clouds, and user access points.

  • BAE Systems

    A major defense and security company whose Applied Intelligence division develops solutions for managing, sharing, and securing vast amounts of sensitive and classified data for government, defense, and national security clients.

  • Microsoft

    Develops the Microsoft Purview platform, a unified data governance and compliance solution that helps organizations manage and protect their data with capabilities like data classification, information protection, and data loss prevention.

  • Zscaler

    Operates a cloud-native Zero Trust platform that inspects all traffic to prevent data loss. Its integrated Data Loss Prevention (DLP) service identifies and protects sensitive data in motion, enforcing policies for all users and locations.

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