The impact of Web3 technology and decentralized ID on preventing fraud in 2025

A shift in technology may be necessary to combat increasingly sophisticated fraud. I believe that if we can create a system for protecting our own personal data, we will be closer to a society where people can live in peace. It would be beneficial to learn about new options. #Fraud #DecentralizedTechnology

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👋 Hello everyone exploring the secrets to protecting identity in the Web3 era! As the threat of AI fraud grows, aren't you excited by the potential for decentralized technology to rebuild trust in society?

In 2025, AI-generated phishing and deepfake calls caused a wave of identity fraud. This news is not just about technological advancements, but also has serious implications for our daily lives and businesses. In particular, the centralized Web2 system has created a breeding ground for fraud, due to the concentration of personal data.

However, the decentralized approach of Web3 may be able to counter these threats.Decentralized Identity (DID)provides individuals with a mechanism to control their own data and prevent fraud. In this article, we will look back at the trend of AI fraud and provide a neutral explanation of the impact of Web3 on society.

Background and Issues (Web2 vs. Web3)

The year 2025 was a year in which the dark side of the rapid evolution of AI technology became apparent. According to an article in Metaverse Post, AI-generated phishing attacks and deepfake calls have threatened the identities of individuals and businesses, causing a surge in fraud losses. For example, fraud involving fake voices and faces has led to:Tens of billions of dollars in lossesIt is reported to have caused

The root of these problems lies in the centralized system of Web2. Platforms like Facebook and Google centralize user data, making it easy for it to be leaked or misused. Phishing attacks typically involve fake emails or phone calls to steal personal information, but hacking centralized databases can cause massive damage.

Web3, on the other hand, takes a decentralized approach based on blockchain, where data is distributed across the network and individuals own and control their own identities, making it more resistant to threats like AI fraud. However, Web3 is not perfect, and challenges during the transition include a lack of user education and delayed regulation.

The inefficiencies of Web2 are also evident in the issue of ownership: users "rent" their data and have no real control. Web3 promises true digital ownership through NFTs and DIDs, but the rise of AI is testing the security of these systems.

Explanation of the technology and mechanisms (The Core)

Web3 decentralized identities (DIDs) are seen as the key to preventing AI-generated fraud. DIDs build self-sovereign identities on the blockchain, eliminating the need for centralized servers. For example, Ethereum's ERC-725 standard gives users control over their own data.

In simple terms, DID uses public key cryptography to issue verifiable credentials, which makes it difficult to forge, as in deepfakes. While AI scams fake voices or videos, DID preserves authenticity through the immutability of the blockchain.

Click to enlarge the image.

Below is a table comparing Web2 and Web3, which will highlight the differences in resistance to AI fraud.

As can be seen from this table, Web3 technologies have the potential to solve the challenges of AI fraud, but L2 scaling and interoperability must be strengthened.

Impact and use cases

For those in the Social & Trends segment, the impact of Web3 will extend to legal regulations and industrial transformation. The 2025 wave of AI fraud will be particularly severe in the financial sector, with an increasing number of cases of banks' KYC processes being breached using deepfakes. Implementing Web3 DID can help reduce this type of fraud and increase trust across society.

As a use case, Microsoft's ION (Identity Overlay Network) implements DID on the Bitcoin blockchain to provide secure identity management for businesses, making AI-generated fake calls unverifiable.

Another example is platforms like uPort and Civic, where users manage their own IDs in their wallets and authenticate in a decentralized way. This reduces the risk of phishing attacks.Reduced by more than 30%It has been pointed out that this is a possibility.

On the industry side, DID will be used in healthcare and education, allowing personal data to be shared while protecting privacy. For society as a whole, Web3 will curb the misuse of AI and build a sustainable digital economy. However, adoption rates are still low, and this trend needs to be monitored.

Action Guide

First, gather information from reliable sources to understand the AI ​​fraud trend. Start with the Metaverse Post article and compare it with related news.

Next, learn about Web3 DID. Refer to the official Ethereum documentation and the W3C DID specification to understand the basic concepts. DYOR (Do Your Own Research) is a good way to verify it yourself.

For practical purposes, it's a good idea to try out a DID wallet on the testnet. For example, you can create a simple ID proof with MetaMask and experience how it works. Be sure to check legal regulations and proceed in a secure environment.

Join the community: follow trends and exchange opinions on Reddit's r/Web3 and Twitter discussions. The key to action is to always maintain a neutral viewpoint and avoid hasty judgment.

Future prospects and risks

In the future, the convergence of AI and Web3 will progress, and AI-native DID will emerge after 2026. For example, it will be combined with zero-knowledge proofs (ZKPs) to enable verification while maintaining privacy. On the regulatory side, laws such as the EU's GDPR will be applied to Web3, promoting its adoption in society.

However, there are also risks. Security vulnerabilities, such as encryption cracking using quantum computing, volatility, and fluctuations in token prices could hinder the widespread adoption of DID. AI fraud continues to evolve, and delays in regulation could lead to new forms of harm.

As technology evolves, the proliferation of L2 solutions will improve scalability and lead to increased everyday use. Minimizing risk and taking a cautious approach is key.

My Feelings, Then and Now

The wave of AI-generated phishing and deepfakes in 2025 has exposed the vulnerabilities of society. Web3's decentralized technologies offer effective solutions, but challenges remain. We must remain impartial, monitor technological evolution, and remember personal responsibility.

Overall, Web3 has the potential to change the future of identity, but keeping a clear perspective on trends is key.

engagement

What do you think about the threat of AI fraud? Do you think Web3 DID will change society? Share your thoughts in the comments! Let's delve deeper through the discussion.

👨‍💻 Author: SnowJon (Web3/AI Practitioner)

Based on the knowledge gained in the University of Tokyo's Blockchain Innovation course, he analyzes and explains Web3 and AI technologies from a practical perspective.
We place importance on translating difficult technologies into a form that can be understood.
*AI was used to compose and draft this article, but the author is responsible for final confirmation and responsibility of the content.

Reference links and sources

• AI-Generated Phishing And Deepfake Calls Drove A Wave Of Identity Scams In 2025
• W3C Decentralized Identifiers (DIDs) v1.0
• Ethereum Official: Decentralized Identity
• Microsoft ION (Identity Overlay Network)
• Civic: Decentralized Identity Platform