The Dark Web refers to a part of the internet that is intentionally hidden and inaccessible to conventional search engines and web browsers. It operates on overlay networks that require specific software, configurations, or authorization to access, such as the Tor (The Onion Router) network, I2P (Invisible Internet Project), or Freenet. Unlike the Surface Web, […]
A data breach refers to a security incident where unauthorized individuals or entities gain access to sensitive or confidential information without the consent of the data owner. This information could include personal data, such as names, addresses, social security numbers, credit card numbers, health records, or other sensitive data. Data breaches can occur through various
Data Classification is the process of categorizing data based on its sensitivity, value, importance, or regulatory requirements. By classifying data, organizations can apply appropriate security controls, access permissions, and protection measures to safeguard sensitive information and ensure compliance with data protection regulations. Key aspects of Data Classification include: Identification: Identifying and inventorying the different types
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In the context of cybersecurity and data breaches, a “data dump” refers to the unauthorized release or publication of a large amount of sensitive or confidential information obtained through a security breach. This information is typically dumped or released publicly on the internet or other platforms by the perpetrators of the breach, often for malicious
The Data Encryption Standard (DES) is a symmetric-key encryption algorithm used to encrypt and decrypt electronic data. Developed by IBM in the early 1970s, DES was adopted as a federal standard for encryption by the National Institute of Standards and Technology (NIST) in 1977. DES became one of the most widely used encryption algorithms for
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Data exfiltration, also known as data extrusion or data exfiltration, refers to the unauthorized transfer or theft of sensitive or confidential data from a secure environment to an external location or attacker-controlled infrastructure. This process involves extracting data from an organization’s network, systems, or storage repositories without authorization, often with the intent of exploiting or
Data Loss Prevention (DLP) refers to a set of strategies, processes, and technologies designed to prevent the unauthorized disclosure, leakage, or loss of sensitive data from an organization’s network, systems, or endpoints. DLP solutions aim to protect sensitive information, such as intellectual property, financial records, customer data, and confidential documents, by monitoring, detecting, and blocking
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Data masking, also known as data obfuscation or data anonymization, is a security technique used to protect sensitive information by replacing, obscuring, or hiding it with fictitious or modified data. The objective of data masking is to prevent unauthorized access to sensitive data while still allowing users to perform their tasks with realistic but non-sensitive
Data sanitization, also known as data cleansing or data scrubbing, is the process of identifying, removing, or obfuscating sensitive, confidential, or irrelevant information from datasets, databases, files, or storage systems to protect privacy, prevent unauthorized access, and ensure compliance with data protection regulations and security policies. Data sanitization aims to minimize the risk of unauthorized
Data sovereignty refers to the concept that data is subject to the laws, regulations, and jurisdiction of the country or region in which it is located or originates. It encompasses the legal and regulatory requirements that govern the collection, storage, processing, and transfer of data, and it highlights the rights and responsibilities of individuals, organizations,
