// THREAT DETECTION AND DATA PRIVACY TERM

Sensitive Data

Sensitive data refers to any information that, if accessed, disclosed, altered, or destroyed without authorization, could cause significant harm to an individual, organization, or national security. This includes personal, financial, health, or classified information that requires special protection.

Sensitive Data — illustration from Wikipedia
Image via Wikipedia

TECHNICAL DEFINITION

Sensitive data constitutes any information necessitating enhanced protection due to its inherent nature to inflict substantial harm, privacy violations, or operational disruption upon unauthorized access, disclosure, or modification, encompassing categories such as Personal Identifiable Information (PII), Protected Health Information (PHI), financial records, intellectual property, and classified national security information, governed by regulations 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

  • Confidential data
  • Protected information
  • Restricted data
  • Private data
  • Classified information
  • Regulated data
  • Priced data

USAGE NOTE

Identifying and properly securing sensitive data is a cornerstone of cybersecurity, regulatory compliance, and risk management within any organization, especially in defense.

DEVELOPERS

Organizations developing technology related to Sensitive Data.

  • Symantec (a division of Broadcom)

    Develops a wide range of cybersecurity solutions, with a strong focus on Data Loss Prevention (DLP), information protection, and endpoint security to identify, monitor, and protect sensitive data across various environments.

  • Forcepoint

    Specializes in data-first SASE (Secure Access Service Edge) and behavioral-centric security solutions, including robust Data Loss Prevention (DLP) to protect sensitive data across networks, endpoints, and cloud applications.

  • Varonis Systems

    Provides data security, governance, and analytics solutions that help organizations discover, classify, protect, and manage sensitive unstructured and structured data from insider threats and cyberattacks.

  • Microsoft

    Offers a comprehensive suite of data governance, risk, and compliance solutions, including Microsoft Purview, which encompasses Data Loss Prevention (DLP), information protection, and insider risk management to safeguard sensitive data.

  • Thales

    A global technology and defense leader, providing advanced data protection solutions including hardware security modules (HSMs), data encryption, and key management to secure sensitive data at rest, in motion, and in use.

  • IBM Security

    Delivers a broad portfolio of security services and products, including data security solutions that focus on discovering, classifying, encrypting, and monitoring access to sensitive data within databases and applications.

  • Proofpoint

    Focuses on protecting organizations from advanced threats and compliance risks, offering solutions for email and cloud security, information protection, and Data Loss Prevention (DLP) to secure sensitive data.

  • Netskope

    A leader in cloud security, providing a Security Service Edge (SSE) platform with robust Data Loss Prevention (DLP) capabilities that protect sensitive data as it moves to and from cloud applications and services.

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