[Proposal] Detect 80+% of your malicious hacks

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SeQure AI, a deep-learning model developed by blockchain security company SeQure, has been introduced to the Aave community. The model monitors real-time blockchain data, detects abnormal transactions, and offers a suite of security features, marking a potential advancement in Aave's security measures.

The Aave community was introduced to SeQure AI, a deep-learning-based model developed by SeQure, a blockchain security company. The AI model, which was developed by scientists from the University of Chicago, monitors real-time blockchain data and detects abnormal or malicious transactions. It has a proven track record, having detected over 80% of malicious hacks on platforms like PolyNetwork and NEO.

SeQure AI offers a comprehensive suite of security features for the Aave community. These include continuous AI-powered monitoring of all on-chain activities, anomaly detection to flag potential threats, identification of unknown security risks before they cause harm, and the ability to adapt to new types of threats as the DeFi ecosystem evolves.

SeQure is keen on collaborating with Aave and its ecosystem, promising to provide the best possible solutions for blockchain security needs. With a team that has extensive experience in blockchain technology and the Web3 industry, SeQure offers its services to large enterprises, blockchain start-ups, and financial institutions. Contact information for SeQure was also provided for further discussions [Carmen, 1]. This introduction marks a potential step forward in enhancing the security measures within the Aave community.

Posted 6 months ago

Last reply 6 months ago

Summary updated 2 months ago

Last updated 06/12 00:43