CCAK Exam Dumps : Certificate of Cloud Auditing Knowledge

Using a standardized control framework enables auditors to conduct gap analyses of what a cloud service provider (CSP) offers versus what the customer requires. A standardized control framework is a set of guidelines, best practices, and criteria that help to evaluate and improve the security, privacy, and compliance of cloud computing environments. Examples of standardized control frameworks include ISO/IEC 27001/27002/27017/27018, NIST SP 800-53, CSA Cloud Controls Matrix (CCM), COBIT, etc. By using a standardized control framework, auditors can compare the CSP’s policies, procedures, and practices with the customer’s expectations and requirements, and identify any gaps or discrepancies that may pose risks or issues. A gap analysis can help the auditors to provide recommendations and suggestions to the CSP and the customer on how to close the gaps and enhance the quality and performance of the cloud services12.

References:

Cloud Controls Matrix (CCM) - CSA

Cloud Computing Audit Program - ISACA

The technical impact of this incident would be categorized as an integrity breach in reference to the Top Threats Analysis methodology. The Top Threats Analysis methodology is a process developed by the Cloud Security Alliance (CSA) to help organizations identify, analyze, and mitigate the top threats to cloud computing, as defined in the CSA Top Threats reports. The methodology consists of six steps: scope definition, threat identification, technical impact identification, business impact identification, risk assessment, and risk treatment. Each of these provides different insights and visibility into the organization’s security posture.1

The technical impact identification step involves determining the impact on confidentiality, integrity, and availability of the information system caused by each threat. Confidentiality refers to the protection of data from unauthorized access or disclosure. Integrity refers to the protection of data from unauthorized modification or deletion. Availability refers to the protection of data and services from disruption or denial.2

An integrity breach occurs when a threat compromises the accuracy and consistency of the data or system. An integrity breach can result in data corruption, falsification, or manipulation, which can affect the reliability and trustworthiness of the data or system. An integrity breach can also have serious consequences for the business operations and decisions that depend on the data or system.3

In this case, the cybersecurity criminal was able to access an encrypted file system and overwrite parts of some files with random data. This means that the data in those files was altered without authorization and became unusable or invalid. This is a clear example of an integrity breach, as it violated the principle of ensuring that data is accurate and consistent throughout its lifecycle.4

References := CCAK Study Guide, Chapter 4: A Threat Analysis Methodology for Cloud Using CCM, page 811; What is CIA Triad? Definition and Examples2; Data Integrity vs Data Security: What’s The Difference?3; Data Integrity: Definition & Examples

Reputation-based trust is a category of trust in cloud computing that relies on the feedback, ratings, reviews, or recommendations of other users or third parties who have used or evaluated the cloud service provider or the cloud service. Reputation-based trust reflects the collective opinion and experience of the cloud community regarding the quality, reliability, security, and performance of the cloud service provider or the cloud service. Reputation-based trust can help potential customers to make informed decisions about choosing a cloud service provider or a cloud service based on the reputation score or ranking of the provider or the service. Reputation-based trust can also motivate cloud service providers to improve their services and maintain their reputation by meeting or exceeding customer expectations.

Reputation-based trust is one of the most common and widely used forms of trust in cloud computing, as it is easy to access and understand. However, reputation-based trust also has some limitations and challenges, such as:

The accuracy and validity of the reputation data may depend on the source, method, and frequency of data collection and aggregation. For example, some reputation data may be outdated, incomplete, biased, manipulated, or falsified by malicious actors or competitors.

The interpretation and comparison of the reputation data may vary depending on the context, criteria, and preferences of the customers. For example, some customers may value different aspects of the cloud service more than others, such as security, availability, cost, or functionality.

The trustworthiness and accountability of the reputation system itself may be questionable. For example, some reputation systems may lack transparency, consistency, or standardization in their design, implementation, or operation.

Therefore, reputation-based trust should not be the only factor for trusting a cloud service provider or a cloud service. Customers should also consider other forms of trust in cloud computing, such as evidence-based trust, policy-based trust, or certification-based trust