Get CIPT Dumps : Verified Certified Information Privacy Technologist

Ensuring that information remains accurate is the activity that best supports the principle of data quality. Data quality principles emphasize the importance of keeping personal information correct, complete, and up-to-date to prevent harm and ensure reliability. Maintaining accuracy involves regular updates, validation, and correction processes to avoid using outdated or incorrect data (IAPP, Certified Information Privacy Technologist (CIPT) materials).

Option A (Implement a CAPTCHA system): CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) helps to prevent automated bots from attempting unlimited login attempts, reducing the risk of brute force attacks. It effectively adds a layer of security by ensuring that login attempts are made by humans, not automated scripts.

Option B (Server-side input validation checks): While important for overall security, input validation checks do not specifically address the issue of limiting invalid login attempts.

Option C (Enforce strong password and account credentials): Strong passwords and credentials are important but do not directly limit the number of invalid login attempts.

Option D (Implement strong TLS): Transport Layer Security (TLS) ensures encrypted communication but does not limit the number of login attempts.

References:

OWASP (Open Web Application Security Project) guidelines on preventing brute force attacks.

NIST SP 800-63B Digital Identity Guidelines on authentication and brute force protection.

Conclusion: Implementing a CAPTCHA system (Option A) is the best recommendation to minimize the potential privacy risk from unlimited invalid login attempts, as it helps to distinguish between human and automated login attempts, reducing the risk of brute force attacks.

Perturbation is the preferred technique for protecting medical data while still allowing for analysis. Perturbation involves adding noise to the data to prevent the identification of individuals while preserving the overall patterns and trends in the dataset. This method is particularly useful in data mining for research purposes where privacy concerns must be addressed. The IAPP’s CIPT materials cover this technique under data anonymization and de-identification strategies, emphasizing its importance in research and analytics.

The technology under consideration in the first project is cloud computing.

Explanation:

Cloud Computing: This involves using a network of remote servers hosted on the internet to store, manage, and process data, rather than a local server or a personal computer. This technology provides flexibility, scalability, and cost-effectiveness.

Data Management and Security: Cloud services can unify data management across the company by providing a centralized platform where all employees can access approved applications and data securely.

Third-Party Servers: Using third-party servers, a characteristic feature of cloud computing, aligns with the project’s goal to provide company data and approved applications to employees.

Security Considerations: While cloud computing offers many advantages, it also requires careful attention to data security, including encryption, access controls, and regular security audits to protect sensitive information.

References:

IAPP Privacy Management, Information Privacy Technologist Certification Textbooks

NIST SP 800-145: The NIST Definition of Cloud Computing

A privacy technologist needs to support a Data Protection Impact Assessment (DPIA) if data processing is a high risk to an individual's rights and freedoms. DPIAs are mandatory under the General Data Protection Regulation (GDPR) when new technologies are used in ways that may significantly affect the privacy of EU customers. This ensures that potential privacy risks are identified and mitigated before data processing begins. The IAPP’s CIPT resources emphasize the importance of DPIAs in managing high-risk data processing activities.