Process mining is a technique that can be used to analyze and improve business processes by extracting data from event logs. To integrate process mining capabilities with integrated risk management (IRM), the following steps could be taken:

1. Identify the key processes that need to be analyzed: Identify the processes that are critical to the organization's operations and that are at risk of disruption.

2. Extract data from event logs: Use process mining software to extract data from event logs and create a process model.

3. Analyze the process model: Analyze the process model to identify bottlenecks, inefficiencies, and deviations from the standard process.

4. Identify risks: Use the information obtained from the process model to identify potential risks that could disrupt the process.

5. Prioritize risks: Prioritize the identified risks based on their potential impact on the organization.

6. Develop risk management strategies: Develop strategies to mitigate or manage the identified risks.

7. Monitor and improve: Continuously monitor the processes and make improvements as necessary.

By integrating process mining capabilities with IRM, an organization can gain a better understanding of the processes that are critical to its operations, identify potential risks, and develop effective risk management strategies. This can help the organization improve its overall risk management capabilities and increase its resilience to disruptions.