// THREAT DETECTION AND DATA PRIVACY TERM

Processing

In cybersecurity and privacy, 'processing' refers to any operation performed on data, such as collecting, storing, using, sharing, or deleting it. It's a broad term covering almost anything an organization does with information, especially personal data.

Processing — illustration from Wikipedia
Image via Wikipedia

TECHNICAL DEFINITION

Within data privacy frameworks like GDPR, CCPA, or HIPAA, 'processing' signifies any operation or set of operations performed on personal data or sets of personal data, whether by automated means or not, by a data controller or processor, encompassing actions such as collection, recording, organization, structuring, storage, adaptation, retrieval, consultation, use, disclosure, dissemination, alignment, restriction, erasure, or destruction.

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

  • Data handling
  • Data manipulation
  • Data operations
  • Data management
  • Data actions
  • Data workflow

USAGE NOTE

'Processing' is a fundamental term in data protection laws, dictating the scope of an organization's compliance obligations and defining the rights of data subjects regarding their personal information.

DEVELOPERS

Organizations developing technology related to Processing.

  • Palantir Technologies

    Develops data integration and analysis platforms (e.g., Gotham, Foundry) used by government agencies and defense organizations to process vast and disparate datasets for intelligence analysis, threat detection, and counter-terrorism efforts.

  • RTX (formerly Raytheon Technologies)

    A major defense contractor that develops advanced electronic warfare systems, radar, intelligence, surveillance, and reconnaissance (ISR) platforms, which rely heavily on real-time signal processing, data fusion, and secure information processing for defense applications.

  • BAE Systems

    A global defense, aerospace, and security company involved in developing complex systems for electronic warfare, intelligence, cyber defense, and secure communications, all requiring sophisticated data and signal processing for threat detection, analysis, and response.

  • Splunk

    Provides a leading Security Information and Event Management (SIEM) platform that ingests, indexes, and processes machine-generated data (logs, network traffic) in real-time for security monitoring, threat detection, and incident response.

  • Mandiant (Google Cloud)

    Specializes in cyber threat intelligence and incident response, involving extensive processing of forensic artifacts, network telemetry, and global threat data to analyze attacks, identify threat actors, and develop countermeasures.

  • Lockheed Martin

    As a primary defense contractor, they develop and integrate advanced defense systems that incorporate sophisticated computing for real-time data processing, signal analysis (e.g., in radar, electronic warfare), and secure data handling for national security.

  • Darktrace

    Utilizes AI-driven 'self-learning' technology to continuously process and analyze network traffic and endpoint data, establishing a baseline of normal behavior to autonomously detect and respond to subtle cyber threats in real-time.

  • IBM Security

    Offers a comprehensive suite of cybersecurity products, including the QRadar SIEM platform, which performs real-time correlation and processing of security events from across an enterprise to detect and prioritize threats and vulnerabilities.

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