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提高交易结果的可解释性

AI通过模拟和预测交易，帮助用户理解交易产生的结果；

AI通过持续追踪交易和合约执行情况，帮助用户分析失败原因和状态变化。

提前暴露高风险交易与可疑活动

AI可以识别恶意交易、潜在攻击路径和可疑活动，在提交交易前便提醒用户，保护用户免受恶意攻击和操作错误的影响。

提高持续监控、异常发现和处理效率

通过AI的动态监测和自动化策略，持续扫描安全，追踪状态变化。由于风险覆盖更连续，异常的发现速度被提高了，预设工作流便被启动得更快，从而缩短从发现异常到启动响应的时间。

降低安全运营的人力成本

AI借助预置的监控器，替代部分高频和重复性的监控与告警工作。在监测到威胁时触发自动安全警报和工作流程，AI可以主动采取措施拦截威胁并降低漏洞被利用的风险，降低安全运营的人力成本。

Improving the Interpretability of Transaction Outcomes

AI helps users understand the outcomes generated by transactions through simulation and prediction. AI helps users analyze the causes of failure and state changes by continuously tracking transaction and contract execution.

Exposing High-Risk Transactions and Suspicious Activities in Advance

AI can identify malicious transactions, potential attack paths, and suspicious activities, alerting users before a transaction is submitted to protect them from malicious attacks and operational errors.

Improving the Efficiency of Continuous Monitoring, Anomaly Discovery, and Processing

Through AI's dynamic monitoring and automated strategies, security is continuously scanned and state changes are tracked. Since risk coverage is more continuous, the speed of anomaly discovery is increased, and preset workflows are activated faster, thereby shortening the time from anomaly discovery to response initiation.

Reducing the Labor Cost of Security Operations

AI, with the help of preset monitors, replaces some high-frequency and repetitive monitoring and alerting work. When threats are detected, AI triggers automatic security alerts and workflows. AI can take proactive measures to intercept threats and reduce the risk of vulnerabilities being exploited, thereby reducing the labor cost of security operations.