Log Management Best Practices for SIEM

10 Best SIEM Use Cases (Part 2)

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.

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How to Initiate a Threat Hunting Program?(Part 2)

How to Initiate a Threat Hunting Program (Part 2)?

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.

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Why is Log Management More Important Than Ever?

It has now become public knowledge that every business organization is under constant threats in the ever-evolving cyberspace. In order to secure their assets and maintain a strong defence against the actors with malicious intent, an organization takes a number of steps such as installing appropriate software and hardware, implementing security controls, etc. One such step is log management which plays a crucial role during a security incident.

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