Undoubtedly, today’s cyber threats are very fast and sophisticated. Even their detection and prevention is no longer an easy task. To prevent organizations from being a victim of cyber threats and attacks, a proactive cybersecurity approach must be used. That is the reason the Cyber Threat Intelligence (CTI) framework comes into place. CTI has become a critical tool for organizations trying to protect their networks and infrastructure.
Use Case 6: SIEM Security with Artificial Intelligence
SIEM security that is equipped with Artificial Intelligence (AI) and user behavior analytics can deal with internal threats. AI capabilities in SIEM help security professionals to automate tasks that are otherwise manual and repetitive. Doing so can also help to swiftly detect threats and suspicious activities in network traffic and event logs.
6. Responding to Threat or Vulnerability
In the previous steps, analysts have gathered enough data to answer their hypothesis. Two types of situations can occur. Either the real threat is found or the vulnerability is detected. In both cases, analysts action is necessary. The analysts must respond immediately when a real threat is identified. However, if there is any vulnerability, they should also resolve this before it becomes a really big nightmare.
The previous year (2018) witnessed an overwhelming number of cyber-attacks and data breaches that affected millions of customers across companies, including customers of household names like Uber, Facebook, Reddit, British Airways, and the Marriott hotel chain. Even governmental organizations were no exception.
Logsign is seamlessly integrated with Symantec Advanced Threat Protection (ATP). Let’s see how.
Types of events detected by Symantec Advanced Threat Protection;