Safeguarding Web3 with AI-powered risk analytics and alerts
We envision a future where the convenience and transparency of blockchain technology are universally accessible, bolstered by a safe and secure environment created through collaborative efforts between governments and the industry to safeguard financial assets.
MAMORI, meaning ‘guardian’ in Japanese, embodies our mission to overcome blockchain’s technological limitations. Our vision is to equip everyone involved in token transactions, such as regulators and exchanges, with Web3 specific risk intelligence and risk management tools. These tools offer real-time risk analytics and early detection of potential issues in token projects. By proactively monitoring these risks, MAMORI aims to help safeguard the assets of individuals worldwide, creating a safer and more secure Web3 environment for all.
Utilize AI to monitor real-time activities and statements of the management/development team of a virtual asset project
Monitor risks of a virtual asset, including concentration of virtual asset holdings or control by a small number of individuals or entities, price manipulation, liquidity, and fraud, and the impact of the virtual asset’s wider or narrower adoption
Monitor the legal risks associated with the virtual asset, including any pending or potential civil, regulatory, criminal, or enforcement action relating to its issuance, distribution or use
Monitor the risk related to code defects, breaches and other threats relating to the virtual asset and its supporting blockchain, or the practices and protocols that apply to them
Monitor parameters or components impacted by governance proposal or voting result (treasury management, smart contract upgrades)
Identify and evaluate potential reputation hazards from social media and news outlets
Monitor the technical aspects of a virtual asset, including the security infrastructure of its blockchain protocol, the size of the blockchain and network and especially how resistant it is to common attacks (for example, a 51% attack), the type of consensus algorithm
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