// THREAT DETECTION AND DATA PRIVACY TERM

Classification

In cybersecurity incident response, classification is the process of categorizing a security incident based on its type, severity, and potential impact. This helps determine the urgency and resources needed for an effective response.

TECHNICAL DEFINITION

Incident classification within cybersecurity incident response frameworks involves the structured categorization of security incidents (e.g., malware, data breach, DoS) by analyzing attributes such as severity, scope, impact, and type, which is crucial for prioritization, resource allocation, and guiding appropriate remediation strategies.

BACKGROUND

The Mitre Corporation is an American not-for-profit organization with dual headquarters in Bedford, Massachusetts, and McLean, Virginia. It manages federally funded research and development centers (FFRDCs) supporting various U.S. government agencies in the aviation, defense, healthcare, homeland security, and cybersecurity fields, among others.

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SYNONYMS & ALIASES

  • Incident categorization
  • Incident ranking
  • Severity assessment
  • Threat classification
  • Impact assessment
  • Prioritization

USAGE NOTE

Classification is a critical early step in the incident response lifecycle, dictating the subsequent actions and resource commitment.

DEVELOPERS

Organizations developing technology related to Classification.

  • Boldon James (QinetiQ)

    Develops data classification solutions that enable organizations, particularly in defense and government, to identify and secure sensitive information effectively, ensuring compliance and reducing data loss risks.

  • Titus (Fortra)

    Provides data classification software that helps government, military, and enterprise organizations identify, classify, and protect sensitive information as it is created, shared, and stored, enhancing data security and compliance.

  • Forcepoint

    Offers data loss prevention (DLP) and user behavior analytics solutions that leverage advanced data classification to identify and protect sensitive data across networks, endpoints, and cloud applications from insider threats and external attacks.

  • Varonis

    Specializes in data security, governance, and compliance, providing platforms that discover, classify, and protect sensitive and regulated data across file systems, NAS devices, SharePoint, and other data repositories.

  • Microsoft

    Through Azure Information Protection (AIP) and Microsoft Purview, Microsoft provides data classification, labeling, and protection capabilities to help organizations manage and secure sensitive information across their digital estate.

  • Palo Alto Networks

    Develops cybersecurity platforms that utilize machine learning and advanced analytics to classify network traffic, applications, and threats, enabling highly accurate threat prevention and policy enforcement across various network environments.

  • CrowdStrike

    Offers cloud-native endpoint protection, threat intelligence, and incident response services that leverage extensive classification of malware, exploits, and adversary tactics to detect and prevent sophisticated cyberattacks.

  • Darktrace

    Employs self-learning AI to classify 'normal' behavior across an organization's digital estate, including networks, cloud, and SaaS, enabling the real-time detection and autonomous response to emerging cyber threats and anomalies.

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