🤖 8.AI x Blockchain Innovations
8.1 Adaptive Learning and Risk Model Updates
🧠 Continuous Model Training
AI models are continuously trained on new on-chain data and real-world attack incidents to enhance detection accuracy.
🔄 Dynamic Risk Feature Updates
Automatically extract emerging threat patterns and anomaly signatures, updating detection rules in real time.
🔬 Personalized Risk Control Strategy Learning
Tailors security parameters dynamically based on users’ asset structures, operation habits, and risk preferences.
8.2 Predictive Analysis and User-Defined Protection Strategies
🔍 AI Risk Trend Forecasting
Utilizes machine learning algorithms to forecast potential market risks, smart contract exploit waves, or hacker activities.
🛡️ Customizable Security Rules
Allows users to set AI-recommended risk thresholds and automated response actions (such as blocking or alert confirmation).
📈 AI-Driven Decision Support
Provides intelligent decision support for complex asset management and cross-chain migration scenarios, reducing human error.
ChainGuard fuses artificial intelligence with blockchain technologies, making security smarter while empowering users to define their own protection systems — setting a new standard for user-centric on-chain security. 🚀🛡️