CIPT Exam Dumps - Certified Information Privacy Technologist

Validating a person's identity typically involves methods such as something they know (e.g., a password or personal information), something they have (e.g., a smartcard), or something they are (e.g., biometric data). A program that creates random passwords does not validate identity; it merely generates passwords. Identity validation methods must involve a process where the individual proves who they are, such as through knowledge-based, possession-based, or biometric-based verification.

Under the GDPR, individuals have the right not to be subject to a decision based solely on automated processing, including profiling, if it produces legal effects concerning them or significantly affects them. This right applies particularly when there is no human intervention in the decision-making process. The GDPR Article 22 specifies that individuals can object to automated decisions that have significant consequences unless the decision is necessary for entering into a contract, authorized by law, or based on explicit consent with appropriate safeguards. Therefore, the company's systems making automated decisions without human involvement must accommodate individuals' rights to opt out to ensure compliance. This interpretation is aligned with GDPR regulations as explained in IAPP's Information Privacy Technologist materials.

Option A: Encrypted computation focuses on protecting the privacy of data while allowing computations to be performed on it. It does not address the relevance of ads to users, which is a separate issue related to the effectiveness of the ad targeting algorithm.

Option B: Encrypted computation aims to protect the user's sensitive personal information by ensuring it remains encrypted during the computation process, thus mitigating this privacy risk.

Option C: Encrypted computation prevents the server from discerning personal information as the data remains encrypted throughout the process.

Option D: By maintaining encryption, encrypted computation also helps prevent information leaks due to weak de-identification techniques.

References:

IAPP CIPT Study Guide

Research papers on encrypted computation and privacy-preserving ad targeting

These detailed explanations provide context and references to ensure the answers align with the IAPP Information Privacy Technologist documents and best practices.

Sensitive biometrics authentication systems have several potential vulnerabilities. Here’s why the theft of finely individualized personal data is a significant concern:

Data Sensitivity: Biometrics data, such as fingerprints or retinal scans, are highly sensitive and unique to individuals. If this data is stolen, it cannot be changed like a password.

Security Risks: A breach involving biometric data can have long-lasting implications because the stolen data can be used for identity theft and other malicious activities.

False Positives/Negatives: While false positives (A) and false negatives (B) are operational issues, they are not as critical as the theft of the data itself. Slow recognition speeds (C) are performance-related concerns but do not pose the same level of risk as data theft.

Regulatory Compliance: Many data protection regulations require stringent measures to protect sensitive biometric data, underscoring the importance of safeguarding this information.

Using dummy data in software testing provides a significant privacy benefit because it does not involve real personal data, thereby eliminating the risk of exposing sensitive information during the testing process. Since dummy data is fabricated, developers can freely test software functionalities without the need for extensive privacy training or worrying about privacy breaches. The IAPP emphasizes that dummy data helps to ensure that privacy principles are adhered to during the software development lifecycle, particularly in testing phases where real data could otherwise be mishandled (IAPP, "Technology and Privacy").

Not updating software with the latest security patches can expose systems to various vulnerabilities, including those that can compromise privacy. When systems processing sensitive data, such as human resources data, are not updated, they become susceptible to security exploits that can lead to unauthorized access or data breaches. This negligence creates privacy vulnerabilities because it increases the risk that personal data could be accessed, stolen, or altered by malicious actors. Privacy vulnerabilities are essentially weaknesses in a system that could be exploited to compromise the privacy of data subjects. This concept is emphasized in the IAPP's training materials, which highlight the importance of maintaining up-to-date software as part of a robust data protection strategy.

By dissociating patient health data from personal data, Light Blue Health can help reduce the risk of an exposure violation. This can help prevent sensitive health information from being linked to an individual’s identity and reduce the potential harm that could result from a privacy breach. 

Browser fingerprinting is a technique used to track users by collecting information about their browser and device characteristics, which are then used to create a unique identifier. This technique can be employed as an alternative to third-party cookies and can track users across different sessions and sites.