What is the most efficient way for Cortex XSOAR to handle separate workflows for phishing and onboarding emails from a single mailbox?

What is the most efficient way for Cortex XSOAR to handle separate workflows for phishing and onboarding emails from a single mailbox?

• A. Use machine learning (ML) to determine incident type.
• B. Create two instances of the email integration for different incident types.
• C. Use an incident classifier based on fields in each type of email.
• D. Create a playbook to process and determine incident type.

Answer: (C)

Using an incident classifier based on fields in each type of email is the most efficient approach for handling separate workflows for phishing and onboarding emails from a single mailbox. By implementing an incident classifier, you can automatically evaluate specific attributes or fields within incoming emails, such as subject lines, sender addresses, or keywords, to distinguish between the two types of incidents. This method allows for real-time classification and ensures that emails are routed to the appropriate workflow without the need for manual intervention, enhancing efficiency and responsiveness. Moreover, this approach allows for scalability, as you can easily adapt the classifier to accommodate additional email types or adjust the criteria as organizational needs evolve. It streamlines operations by directly integrating classification into the workflow management system, ultimately promoting better resource allocation and incident resolution. While other options may also have their merits, they may not achieve the same level of efficiency or adaptability. For instance, using machine learning could require extensive training data and might be more complex to implement. Creating separate instances of the email integration may lead to unnecessary duplication and complexity in management. Lastly, developing a playbook could streamline processing but may not offer the real-time classification capabilities offered by an incident classifier.

Using an incident classifier based on fields in each type of email is the most efficient approach for handling separate workflows for phishing and onboarding emails from a single mailbox. By implementing an incident classifier, you can automatically evaluate specific attributes or fields within incoming emails, such as subject lines, sender addresses, or keywords, to distinguish between the two types of incidents. This method allows for real-time classification and ensures that emails are routed to the appropriate workflow without the need for manual intervention, enhancing efficiency and responsiveness.

Moreover, this approach allows for scalability, as you can easily adapt the classifier to accommodate additional email types or adjust the criteria as organizational needs evolve. It streamlines operations by directly integrating classification into the workflow management system, ultimately promoting better resource allocation and incident resolution.

While other options may also have their merits, they may not achieve the same level of efficiency or adaptability. For instance, using machine learning could require extensive training data and might be more complex to implement. Creating separate instances of the email integration may lead to unnecessary duplication and complexity in management. Lastly, developing a playbook could streamline processing but may not offer the real-time classification capabilities offered by an incident classifier.