CCST Cybersecurity Certification Cram Notes

A few examples of how a SIEM or SOAR system can identify suspicious events as they occur:

1. Abnormal login activity: A SIEM system can monitor login activity across an organization's network and identify when an unusual number of failed login attempts occur. This could indicate a brute-force attack, where an attacker is attempting to gain access to an account by guessing passwords.

2. Unusual data transfers: A SIEM system can monitor network traffic for unusual data transfers, such as large amounts of data being transferred to an external IP address. This could indicate a data exfiltration attempt, where an attacker is stealing sensitive information from an organization.

3. Malicious activity: A SOAR system can analyze security alerts from various security tools, such as antivirus software or intrusion detection systems, and identify patterns of malicious activity. For example, if multiple endpoints in an organization are infected with the same malware, the SOAR system can automatically quarantine the affected endpoints and alert security analysts to investigate the incident further.

4. Insider threats: A SIEM system can monitor activity by employees or other insiders and identify when they are accessing files or systems they don't have permission to access. This could indicate an insider threat, where an employee or contractor is abusing their access privileges to steal sensitive information or cause harm to the organization.

These are just a few examples of how a SIEM or SOAR system can identify suspicious events as they occur. By monitoring network data and analyzing security alerts in real-time, these systems can detect security incidents as they happen, enabling organizations to respond quickly and effectively to mitigate the impact of the incident.

3. Identifying suspicious events as they occur

Here are a few examples of how a SIEM or SOAR system can identify suspicious events as they occur:

1. Abnormal login activity: A SIEM system can monitor login activity across an organization's network and identify when an unusual number of failed login attempts occur. This could indicate a brute-force attack, where an attacker is attempting to gain access to an account by guessing passwords.

2. Unusual data transfers: A SIEM system can monitor network traffic for unusual data transfers, such as large amounts of data being transferred to an external IP address. This could indicate a data exfiltration attempt, where an attacker is stealing sensitive information from an organization.

3. Malicious activity: A SOAR system can analyze security alerts from various security tools, such as antivirus software or intrusion detection systems, and identify patterns of malicious activity. For example, if multiple endpoints in an organization are infected with the same malware, the SOAR system can automatically quarantine the affected endpoints and alert security analysts to investigate the incident further.

4. Insider threats: A SIEM system can monitor activity by employees or other insiders and identify when they are accessing files or systems they don't have permission to access. This could indicate an insider threat, where an employee or contractor is abusing their access privileges to steal sensitive information or cause harm to the organization.

These are just a few examples of how a SIEM or SOAR system can identify suspicious events as they occur. By monitoring network data and analyzing security alerts in real-time, these systems can detect security incidents as they happen, enabling organizations to respond quickly and effectively to mitigate the impact of the incident.