Glossário

Tokenized Identity

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Tokenized identity refers to the representation of an identity as a digital token on a blockchain, enabling seamless, interoperable identity verification across platforms and applications.

What Is Tokenized Identity?

Tokenized Identity, otherwise known as blockchain-based identity, is a subset of digital identity that leverages blockchain technology to verify and authenticate identities. 
This involves verifying identity information and issuing a token that contains no personal or sensitive information. Identities are managed through tokens, and these tokens allow users to participate securely in Web3. 

Tokenized identity refers to the representation of an identity as a digital token on a blockchain, enabling seamless, interoperable identity verification across platforms and applications. 

A dApp would use tokenized identity to allow users to securely prove their identity or ownership of a specific credential without repeatedly sharing personal data, enhancing both security and user experience.
Tokenized identity is different from ZK technology, specifically zero knowledge proofs (ZKPs), which may be used to validate specific attributes of a user’s identity without revealing sensitive personal information when queried. ZKPs may function outside a blockchain, whereas tokenized identity relies on a blockchain to secure the token. Tokenized identity does not have the computational burden that ZKPs have.

Use Cases for Tokenized Identity

Tokenized identity can be used by protocols in order to ensure the integrity of processes. For example, it could be used in airdrop distribution practices to enhance security and reduce Sybil attacks. This is to ensure that tokens are distributed to verified and eligible users, not bots. 
It could also be used in DeFi protocols to ensure users who fulfill certain requirements (e.g. having a verified government-issued ID, collateral requirements, on-chain activity, wallet address reputation checks, etc.) can access features like lending or borrowing. This provides better cybersecurity protection and reduces the risk of hacks or exploits on a protocol. 

In the context of web3 gaming, game developers should ensure every player on their platform is unique, especially when rewards or competitive play are involved to ensure the integrity and fairness of the game. Tokenized identity can be used to distribute in-game rewards securely. This is because it would determine that rewards are being claimed by legitimate players who maintain control of their wallets, preventing issues like reward farming through multiple accounts or unauthorized access.

Another notable use case for tokenized identity is regulatory compliance, specifically Know Your Customer (KYC) and Anti Money Laundering (AML), through identity verification and government-issued ID checks. 
Tokenized identity can be used to prove users have verified identities without revealing sensitive personal information every time. Additionally, with the implementation of Markets in Crypto-Assets (MiCA), many crypto-asset service providers need to prepare for verification compliance, and tokenized identity can help streamline this. 

Benefits and Challenges 

With tokenized identity, data protection can be preserved as users can have more control and use of their identity data, from sharing portions of their identity data to revealing it completely. This is important to protect individuals from being unfairly targeted by groups such as governments and corporations. Additionally, since a user may not need to share sensitive data directly and constantly validate a user’s identity, tokenized identity could help reduce the risk of identity theft and data breaches. 

The immutable nature of the information stored on the blockchain also means that certain behaviors can be proved if necessary. As transaction data is immutable and cannot be altered retroactively, tokenized identity provides a tamper-proof record of transactions. This can be crucial when it comes to instances like election voting, healthcare where historical information needs to be reliably accessed, banking loan applications, real estate to verify transfer history, and more.

Another advantage of tokenized identity is its interoperability across various decentralized applications (dApps). Users are able to prove their specific identity attributes without sharing extensive information repeatedly, streamlining the interactions in Web3. 

However, there are challenges when it comes to the use and implementation of tokenized identity. The issue of data storage, i.e. the feasibility of storing user data in a completely decentralized and non-accessible way, continues to be challenging because it is expensive and operationally complex to set up. Cross-chain portability of the tokenized identity also remains an area of opportunities, since people may want to take their verified credentials to dApps in other ecosystems.

Another hurdle for tokenized identity is regulatory compliance, which varies by jurisdiction and will make implementation challenging. For example, European countries must adhere to the General Data Protection Regulation (GDPR)'s strict rules on data processing, user consent, and the right to be forgotten. Other regions, like the U.S., have their own laws, such as the California Consumer Privacy Act (CCPA), adding complexity to global implementation. Balancing these regulations with the decentralized nature of tokenized identity could be a challenge.


About the Author

Titus Capilnean is Vice President of Go-to-Market at Civic. Civic is a leader in tokenized identity solutions including the Civic Pass, a non-transferable token and advanced identity verification and access management tool. Titus spearheads the development of the Civic Pass for use cases including airdrops. Titus has held marketing and product leadership positions at startups that have raised Angel, Seed, and Series A rounds, as well as at publicly traded companies. His experience spans fintech, artificial intelligence, identity, blockchain, and AI data sectors. Titus has also coordinated two AI books, several papers with the World Economic Forum, and a decentralized identity paper.