![]() While auditing your logs and identifying events of concern is primarily a reactive strategy, machine learning helps you become proactive by enabling you to identify elements of risk in your network. Machine-learning-powered user and entity behavior analytics (UEBA) You can even reduce false positives by setting up correlation-based threat alerts that send notifications only when a threat actor’s actions are confirmed as suspicious activity. ![]() Using the search module, you can trace any threat actor’s path through your network in seconds. Log360 also enables you to add custom STIX/TAXII-based threat feeds and seamlessly integrate them within your threat intelligence program. This feature is preconfigured and starts monitoring your network for threats the moment you add log sources. Log360 contains a built-in threat intelligence processor that automatically retrieves the latest threat feeds from trusted open sources like AlienVault OTX and Hail a TAXII, and scans your network continuously for signs of malicious activities. Threat intelligence helps you secure your network from various types of threats, including malware, phishing and spam, advanced persistent threats, communications from callback servers, and botnet attacks. But SIEM is about more than just auditing as we’ll see in today’s blog post, it also helps you secure your network from internal and external attacks through its advanced security capabilities. Part two and part three of this blog series gave a detailed look at Log360’s in-depth auditing capabilities, while part one explained how easy the product is to set up and use.
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