Automated Threat Detection refers to the use of algorithms and machine learning to identify potential security risks and fraudulent activities related to cryptocurrencies. With the increasing popularity of digital assets, the frequency of scams, hacks, and other malicious actions has also risen.These systems continuously monitor transactions and user behavior across blockchain networks. They analyze patterns and anomalies that may indicate suspicious activities, such as unusual transaction sizes, frequency, or geographic origins. Once a potential threat is detected, alerts can be generated for further investigation.The benefits of automated threat detection include rapid response times and the ability to process vast amounts of data efficiently. This helps protect users and platforms by identifying threats before they can cause significant damage. As cyber threats evolve, these systems also adapt, learning from new patterns to enhance their detection capabilities. Ultimately, automated threat detection serves as a crucial layer of security that contributes to building trust and safety in the cryptocurrency environment.