Real-time monitoring involves the continuous observation and analysis of data streams or system states as events occur. This practice allows for immediate detection of anomalies, performance issues, or security threats. In the context of digital assets, it is crucial for tracking transaction flows, network activity, and smart contract execution. Prompt identification of deviations from expected behavior is key to maintaining system integrity and responding effectively to incidents.
Context
Real-time monitoring is currently a critical component of risk management and security operations within the digital asset industry, especially for exchanges and decentralized finance protocols. Discussions often focus on the sophistication of analytical tools required to process the high volume of on-chain data. A significant future development to anticipate is the integration of advanced machine learning techniques for more predictive and proactive threat detection through real-time data analysis.
A sophisticated social engineering attack leveraged a compromised Zoom client, granting delegate control over a Venus Protocol user's account and putting $13 million at risk.
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