ECCouncil 312-40 Dumps

Chaos Engineering is the discipline of experimenting on a software system in production to build confidence in the system’s capability to withstand turbulent and unexpected conditions. Here’s how it applies to Richard Branson’s scenario:

• Intentional Disruption: Chaos Engineering involves deliberately introducing problems into the system to test its resilience.
• Observation: Observing how the system responds to these disruptions helps identify weaknesses and areas for improvement.
• Vulnerability Detection: By causing controlled chaos, the engineering team can detect vulnerabilities that might not be apparent during standard testing procedures.
• Resilience Building: The ultimate goal is to improve the system’s resilience by fixing the vulnerabilities and ensuring it can handle unexpected issues.
• Continuous Improvement: It is an ongoing process that helps teams prepare for the worst-case scenarios and improve the overall stability and reliability of the system.

References:

• Principles of Chaos Engineering, which outline the practices and benefits of this approach.
• Case studies demonstrating how Chaos Engineering has helped organizations improve their systems’ resilience.

In risk management, the approach that can compensate an organization for the loss of sensitive data due to the risks of an activity is known as risk transference.

• Risk Transference: This approach involves transferring the risk to a third party, typically through insurance or outsourcing. In the context of data loss, an organization can purchase a cyber insurance policy that would provide financial compensation in the event of a data breach or loss1.
• How It Works:
• Benefits of Risk Transference:

References:

• Key Considerations in Protecting Sensitive Data Leakage Using Data Loss Prevention Tools1.
• Data Risk Management: Process and Best Practices2.

The process that Susan, a cloud security engineer, is performing by reviewing the list of publicly accessible resources, security groups, routing tables, ACLs, subnets, and IAM policies is known as performing cloud reconnaissance.

• Cloud Reconnaissance: This term refers to the process of gathering information about the cloud environment to identify potential security issues. It involves examining the configurations and settings of cloud resources to detect any misconfigurations or vulnerabilities that could be exploited by attackers.
• Purpose of Cloud Reconnaissance:
• Outcome of Cloud Reconnaissance: The outcome of this process should be a comprehensive understanding of the cloud environment’s security posture, which can help in identifying and mitigating potential security risks.

References:

• Cloud Security Alliance: Cloud Reconnaissance and Security Best Practices.
• NIST Cloud Computing Security Reference Architecture.