Shared Assessments Updated CTPRP Exam Questions and Answers by malek

When calculating residual risk, the best practice for an assessor is to adjust the vendor risk rating based on the changes to the risk level after analyzing the findings and considering the effectiveness of mitigating controls. Residual risk refers to the level of risk that remains after controls are applied to mitigate the initial (inherent) risk. By evaluating the findings from a third-party assessment and factoring in the mitigating controls implemented by the vendor, the assessor can more accurately determine the remaining risk level. This adjusted risk rating provides a more realistic view of the vendor's risk profile, aiding in informed decision-making regarding risk management and vendor oversight.

References:

• The concept of residual risk calculation is discussed in risk management frameworks such as ISO 31000 (Risk Management - Guidelines), which guides the assessment and treatment of risks.
• The "Third-Party Risk Management Guide" by ISACA outlines the process of assessing and managing risks associated with third parties, including the calculation of residual risk.

Threat modeling is a core element of the Microsoft Security Development Lifecycle (SDL) and a structured approach to identify, quantify, and address the security risks associated with an application12. Threat modeling helps to shape the application’s design, meet the security objectives, and reduce risk1. The best time to perform threat modeling analysis is before the application design and development activities begin, as this allows the application service provider to:

• Communicate about the security design of their systems1.
• Analyze the design for potential security issues using a proven methodology1.
• Suggest and manage mitigations for security issues1.
• Incorporate security requirements into the design2.
• Avoid costly rework or redesign later in the SDLC2.
• Identify the most critical and relevant threats to focus on2. References: 1: Microsoft Security Development Lifecycle Threat Modelling1 2: Threat Modeling Process | OWASP Foundation2

When reviewing application risk for application service providers, the most important factors are the functionality and type of data the application processes, the remote connectivity options, and the APl integration methods. These factors determine the level of exposure, sensitivity, and complexity of the application, and thus the potential impact and likelihood of a security breach or a compliance violation. The number of software releases is less important, as it does not directly affect the application’s security or functionality. However, it may indicate the maturity and quality of the software development process, which is another aspect of application risk assessment. References:

• Application Security Risk: Assessment and Modeling, ISACA Journal, Volume 2, 2016

Personally identifiable information (PII) is any data that can be used to identify, contact, or locate an individual, such as name, address, email, phone number, social security number, etc. PII is subject to various legal and regulatory requirements, such as the GDPR, HIPAA, PCI DSS, and others, depending on the industry and jurisdiction. PII also poses significant security and privacy risks, as it can be exploited by malicious actors for identity theft, fraud, phishing, or other cyberattacks. Therefore, organizations that collect, store, process, or transmit PII must implement appropriate safeguards to protect it from unauthorized access, disclosure, modification, or loss.

One of the key safeguards for PII protection is encryption, which is the process of transforming data into an unreadable format using a secret key. Encryption ensures that only authorized parties who have the key can access the original data. Encryption can be applied to data at rest (stored on a device or a server) or data in transit (moving across a network or the internet). Encryption can also be symmetric (using the same key for encryption and decryption) or asymmetric (using a public key for encryption and a private key for decryption).

Another key safeguard for PII protection is authentication, which is the process of verifying the identity of a user or a system that requests access to data. Authentication ensures that only legitimate and authorized parties can access the data. Authentication can be based on something the user knows (such as a password or a PIN), something the user has (such as a token or a smart card), something the user is (such as a fingerprint or a face scan), or a combination of these factors. Authentication can also be enhanced by using additional methods, such as one-time passwords, challenge-response questions, or multi-factor authentication.

When defining third party requirements for transmitting PII, the factors that provide stronger controls are the strength of encryption cipher and authentication method. These factors determine how secure and reliable the data transmission is, and how resistant it is to potential attacks or breaches. The strength of encryption cipher refers to the algorithm and the key size used to encrypt the data. The stronger the cipher, the more difficult it is to break or crack the encryption. The strength of authentication method refers to the type and the number of factors used to verify the identity of the user or the system. The stronger the authentication method, the more difficult it is to impersonate or compromise the user or the system.

The other factors, such as full disk encryption and backup, available bandwidth and redundancy, and logging and monitoring, are also important for PII protection, but they do not directly affect the data transmission process. Full disk encryption and backup are relevant for data at rest, not data in transit. They provide protection in case of device theft, loss, or damage, but they do not prevent data interception or modification during transmission. Available bandwidth and redundancy are relevant for data availability and performance, not data security and privacy. They ensure that the data transmission is fast and reliable, but they do not prevent data exposure or corruption during transmission. Logging and monitoring are relevant for data audit and compliance, not data encryption and authentication. They provide visibility and accountability for the data transmission activities, but they do not prevent data access or misuse during transmission. References:

• : What is Data Encryption? | Definition and Examples | Imperva
• : What is Authentication? | Definition and Examples | Imperva
• : Personally Identifiable Information (PII) - Imperva
• : Data Protection - Shared Assessments