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Data Attributes

Data Sensitivity Types

Data sensitivity types categorize data entities based on their content, context, and associated regulatory risks. These classifications help identify and manage the inherent risks of handling data related to different data categories, ranging from user-generated content to cryptographic keys and financial data.

Each data sensitivity type is associated with varying levels of sensitivity and regulatory scrutiny, influenced by frameworks like GDPR, CCPA, and other global data protection laws. By organizing data into these types, we can assess our regulatory obligations, implement appropriate safeguards, and address compliance considerations effectively. These sensitivity levels are adaptable and can be expanded or refined based on our specific domain and specific regulatory requirements.

Type Short Description Risk in Relation to Regulations
User Content Data created or shared by users Moderate; subject to content regulations and copyright laws
User Metadata Information about user activity High; often falls under data protection laws like GDPR
User Activity Data Behavioral data on platform interactions High; subject to privacy regulations and data processing laws
Identifiable Data Data directly identifying a user Very High; core focus of most data protection regulations
S/PII Highly sensitive personal information Extremely High; strictly regulated under multiple laws
Business Data Proprietary business information Moderate; subject to trade secret and corporate governance laws
Pseudonymous Data Data linked to aliases or pseudonyms Moderate; may be subject to data protection laws if re-identifiable
Anonymous Data Data not linkable to individuals Low; generally less regulated but anonymization must be robust
Cryptographic Keys Private keys for digital asset access High; subject to financial regulations and cybersecurity laws
Transaction Metadata Details about blockchain transactions Moderate; may fall under financial regulations and AML laws
Decentralized Identity Information Self-sovereign identity data High; emerging area with evolving regulatory landscape
Tokenized Assets Digital representations of ownership High; subject to securities laws and financial regulations
Encrypted Communications Private messages on platforms Moderate; subject to encryption and data protection laws
Governance Data Voting and proposal information in DAOs Moderate; may fall under corporate governance regulations
Zero-Knowledge Proofs Cryptographic validation data Low to Moderate; emerging technology with evolving regulations
Finance Data Financial activity data Very High; subject to financial regulations