The three steps in the SIEM (Security Information and Event Management) process for data collection are:

1. Collect: This is the first step in the SIEM process. Here, data is gathered from various sources within an organization's network. These sources can include servers, databases, applications, and other network devices. The data collected can be in the form of logs, events, or flows.

2. Normalize: After the data is collected, it needs to be normalized. Normalization in SIEM is the process of converting data from various sources into a common format. This is done so that the data can be easily compared and analyzed. It involves removing any irrelevant data, converting data into a standard format, and categorizing data based on its type.

3. Index: The final step in the SIEM process is indexing. Indexing is the process of organizing data in a way that makes it easily searchable. This is crucial for efficient data analysis and for quick response times during security incidents. Indexing allows for faster search and retrieval of data.

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The three steps in the SIEM (Security Information and Event Management) process for data collection are:

1. Collect: This is the first step in the SIEM process. Here, data is gathered from various sources within an organization's network. These sources can include servers, databases, applications, and other network devices. The data collected can be in the form of logs, events, or flows.

2. Normalize: After the data is collected, it needs to be normalized. Normalization in SIEM is the process of converting data from various sources into a common format. This is done so that the data can be easily compared and analyzed. It involves removing any irrelevant data, converting data into a standard format, and categorizing data based on its type.

3. Index: The final step in the SIEM process is indexing. Indexing is the process of organizing data in a way that makes it easily searchable. This is crucial for efficient data analysis and for quick response times during security incidents. Indexing allows for faster search and retrieval of data.

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The three steps in the SIEM (Security Information and Event Management) process for data collection are:

1. Collect: This is the first step in the SIEM process. Here, data is gathered from various sources within an organization's network. These sources can include servers, databases, applications, and other network devices. The data collected can be in the form of logs, events, or flows.

2. Normalize: After the data is collected, it needs to be normalized. Normalization in SIEM is the process of converting data from various sources into a common format. This is done so that the data can be easily compared and analyzed. It involves removing any irrelevant data, converting data into a standard format, and categorizing data based on its type.

3. Index: The final step in the SIEM process is indexing. Indexing is the process of organizing data in a way that makes it easily searchable. This is crucial for efficient data analysis and for quick response times during security incidents. Indexing allows for faster search and retrieval of data.

What are the steps in the SIEM process for data collection? Select three answers.1 分UnifyCollectIndexNormalize

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What are the steps in the SIEM process for data collection? Select three answers.

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