// THREAT DETECTION AND DATA PRIVACY TERM
Data Loss
Data loss refers to an event where digital information is either destroyed, corrupted, stolen, or made inaccessible to authorized users, often resulting from cyberattacks, system failures, or human error. It can impact the availability, integrity, or confidentiality of critical data.
TECHNICAL DEFINITION
Data loss is an information security incident characterized by the destruction, corruption, unauthorized access, or exfiltration of digital assets, compromising their confidentiality, integrity, or availability, and necessitating robust incident response protocols and data recovery strategies within an organization's cybersecurity framework.
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.
READ MORE ON WIKIPEDIASYNONYMS & ALIASES
- Data compromise
- Data exfiltration
- Data destruction
- Data unavailability
- Information loss
- Data breach
USAGE NOTE
In incident response, identifying data loss is critical for assessing damage, notifying affected parties, and initiating recovery and containment efforts to restore normal operations and prevent future occurrences.
DEVELOPERS
Organizations developing technology related to Data Loss.
Symantec provides comprehensive Data Loss Prevention (DLP) solutions that help organizations discover, monitor, and protect sensitive data across endpoints, networks, and cloud applications.
Forcepoint offers data-first SASE and Data Loss Prevention (DLP) solutions designed to protect critical data and IP everywhere it resides, from endpoints to the cloud, to prevent data breaches and regulatory non-compliance.
Proofpoint specializes in information protection and compliance, including advanced Data Loss Prevention (DLP) to safeguard sensitive data across email, cloud, and endpoints, protecting against insider threats and external attacks.
Palo Alto Networks integrates Data Loss Prevention (DLP) capabilities into its next-generation firewall and cloud security platforms to prevent sensitive data from leaving the organization through various channels, enforcing compliance and data protection policies.
Microsoft provides Data Loss Prevention (DLP) capabilities across its Microsoft 365 suite, Azure Information Protection, and Defender for Cloud Apps, helping organizations identify, monitor, and automatically protect sensitive information.
Google Cloud offers Data Loss Prevention (DLP) services that allow organizations to discover, classify, and redact sensitive data at scale, helping to prevent unauthorized exposure in cloud environments and applications.
Netskope provides Cloud Data Loss Prevention (DLP) as part of its Security Service Edge (SSE) platform, offering real-time visibility and control over sensitive data across cloud services, SaaS applications, and web traffic.
Zscaler incorporates Data Loss Prevention (DLP) as a core component of its Zero Trust Exchange, securing data in transit and at rest by inspecting all traffic and preventing sensitive information from leaving the network, regardless of user location.