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Here’s how blockchain and AI combine to redefine data security


Conversational artificial intelligence (AI) has transformed how data is used and secured, but it has also driven the growth of fake files and fake information. With its immutable nature, blockchain technology can challenge AI-powered faulty data through validation and verification. Market experts state the blockchain AI market will reach $1 billion by 2030. Authenticating data, timestamping papers, and using social media data to guide market decisions are all common blockchain applications.

Important features of blockchain technology

1. Verifiable documents and data enabled by a Decentralized autonomous organization (DAO)

The timestamping of every block created on the network is an important feature of blockchain technology. The open-source, blockchain-based VIDT DAO platform enables decentralized timestamping technology, which aids in the security and validation of digital data such as certificates, firmware, and AI breakthroughs. The platform offers data validation and blockchain governance using the native VIDT coin. A transaction is made each time a VIDT holder timestamps a file, recording all relevant information on several blockchains.

VIDT DAO just developed FileValidator, a user-friendly app that allows anybody to verify their files, ensuring their authenticity and making data easily verified. FileValidator can timestamp AI prompts and outcomes using blockchain when used for AI apps and services, facilitating a more transparent record of AI model performance. VIDT integrators provide a trustless platform for data and document sharing by allowing users to determine what is true rather than seeking out everything that is incorrect.

2. AI-driven market intelligence

When paired with market-specific tools and algorithms, AI’s quick decision-making skills provide a very efficient way to gather and analyze real-time data. To deliver real-time crypto market insights and analytics, LunarCrush, a platform for crypto-asset intelligence, analyzes Big Data acquired from social media sites using AI.

Using the reliable data on crypto projects, influencers, and market trends provided by LunarCrush, users may refrain from taking crypto investment decisions driven by false information and baseless hype. Users of LunarCrush’s social analytics tools, regardless of their degree of knowledge, can use them to make judgements about their use of cryptocurrencies that are supported by reliable data.

3. Data communication in an unreliable scenario

Blockchain’s decentralized and cryptographic architecture enables data transfers in a secure environment and supports the development of AI models that are resistant to data manipulation. To improve data security and authenticity, the Cambridge-based AI platform makes use of cutting-edge technologies including machine learning, blockchain, and multi-agent systems.

Global players are also interested in a decentralized machine-learning network for enhanced data protection and authenticity.

Does AI Have a Place in Blockchain Technology?

AI can increase the intelligence of blockchain-based business networks, provide them with a competitive edge, and automate the evaluation of transactions. Smart contracts using AI models can expand and automate processes, perform transactions, and identify fraudulent behaviour, increasing the overall productivity of blockchain-based networks.


LunarCrush and VIDT DAO are reinventing data security and integrity in their fight against misleading data and documents. These cutting-edge inventions enable society to live digitally while also authenticating blockchain transactions. These efforts use cutting-edge methods to differentiate between fake and genuine data, ensuring a highly secured future.