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Public key infrastructure (PKI) is a system that enables the use of public key cryptography, which is a method of encrypting and authenticating data using a pair of keys: a public key and a private key. Public key cryptography can protect against man-in-the-middle (MITM) attacks, which are attacks where an attacker intercepts and modifies the communication between two parties. PKI makes public key cryptography feasible by providing a way to generate, distribute, verify, and revoke public keys. PKI also uses digital certificates, which are documents that bind a public key to an identity, and certificate authorities, which are trusted entities that issue and validate certificates. By using PKI, the parties can ensure that they are communicating with the intended recipient and that the data has not been tampered with by an attacker.

References:

What is Public Key Infrastructure (PKI)? - Fortinet

How is man-in-the-middle attack prevented in TLS? [duplicate]

A brief look at Man-in-the-Middle Attacks and the Role of Public Key Infrastructure (PKI)

A legal review is the most important thing to ensure before executive leadership approves a new data privacy policy, as it would help to verify and validate the accuracy, completeness and compliance of the policy with the applicable laws and regulations that govern the collection, use, disclosure and transfer of personal data. A legal review would also help to identify and address any gaps, inconsistencies or conflicts in the policy, and to provide legal advice or guidance on the implementation and enforcement of the policy. The other options are not as important as a legal review in ensuring before executive leadership approves a new data privacy policy. A training program is a method of educating and informing the employees and stakeholders about the new data privacy policy, its objectives, requirements and implications, but it does not ensure the quality or compliance of the policy itself. A privacy committee is a group of individuals who are responsible for overseeing, monitoring and evaluating the organization’s data privacy program, policies and practices, but it does not ensure the quality or compliance of the policy itself. A distribution methodology is a method of disseminating and communicating the new data privacy policy to the employees and stakeholders, such as email, intranet, website or newsletter, but it does not ensure the quality or compliance of the policy itself1, p. 98 References: 1: CDPSE Review Manual (Digital Version)

Following an established privacy framework is the most important step when developing an organizational data privacy program because it provides a structured and consistent approach to identify, assess, and manage privacy risks and compliance obligations. A privacy framework can also help to align the privacy program with the organization’s strategic goals, values, and culture, as well as to communicate and demonstrate the privacy program’s effectiveness to internal and external stakeholders. Some examples of established privacy frameworks are the NIST Privacy Framework, the ISO/IEC 27701:2019, and the AICPA Privacy Maturity Model.

References:

NIST Privacy Framework: A Tool for Improving Privacy through Enterprise Risk Management, NIST

ISO/IEC 27701:2019 Security techniques — Extension to ISO/IEC 27001 and ISO/IEC 27002 for privacy information management — Requirements and guidelines, ISO

Privacy Maturity Model, AICPA

Awareness campaigns are initiatives that aim to educate and inform employees about the importance of privacy protection, the organization’s privacy policies and procedures, the applicable laws and regulations, and the best practices and behaviors to safeguard personal data. Awareness campaigns can support an organization’s efforts to create and maintain desired privacy protection practices among employees by raising their awareness, understanding and commitment to privacy, as well as by influencing their attitudes, values and culture. Awareness campaigns can use various methods and channels, such as posters, newsletters, videos, webinars, quizzes, games or events, to deliver consistent and engaging messages to the target audience. The other options are not the best ways to support an organization’s efforts to create and maintain desired privacy protection practices among employees. Skills training programs are focused on developing specific technical or functional skills related to privacy, but they may not address the broader aspects of privacy awareness or culture. Performance evaluations are focused on measuring and rewarding individual or team performance based on predefined criteria or objectives, but they may not reflect the actual level of privacy awareness or practice. Code of conduct principles are focused on establishing and enforcing ethical standards and rules of behavior for employees, but they may not be sufficient to create or maintain privacy awareness or practice without effective communication and education1, p. 103-104 References: 1: CDPSE Review Manual (Digital Version)

Beacons use Bluetooth low-energy (BLE) wireless technology to transmit information to nearby devices that have Bluetooth enabled. By disabling Bluetooth services on the mobile device, the user can prevent beacons from detecting and tracking their location and sending them unwanted messages or advertisements. This can help protect the user’s privacy and avoid potential security risks from malicious beacons. Disabling location services, enabling Trojan scanners, or enabling antivirus for mobile devices are not effective ways to address threats to mobile device privacy when using beacons as a tracking technology, because they do not prevent the communication between beacons and the mobile device.

References:

Beacon Technology: What It Is and How It Impacts You1

What Does It All Mean: Beacon Technology, GPS and Geofencing2

The best way to ensure an organization’s enterprise risk management (ERM) framework can protect the organization from privacy harms is to complete a privacy risk assessment. A privacy risk assessment is a systematic process of identifying, analyzing, evaluating, and treating the privacy risks that may affect the organization’s objectives, operations, stakeholders, and reputation. A privacy risk assessment helps to align the ERM framework with the privacy requirements, expectations, and obligations of the organization, as well as to prioritize and mitigate the privacy risks that may cause privacy harms. Privacy harms are the adverse consequences or impacts that may result from the unauthorized or inappropriate use, disclosure, or loss of personal data, such as financial loss, identity theft, discrimination, reputational damage, emotional distress, or physical harm.

References: CDPSE Review Manual, 2021, p. 84

The vulnerability that would have the greatest impact on the privacy of information is private key exposure, because it would compromise the encryption and decryption of the information, as well as the authentication and integrity of the communicating parties. A private key is a secret and unique value that is used to encrypt or decrypt data, or to sign or verify digital signatures. If an attacker gains access to the private key, they can read, modify, or impersonate the data or the sender, which would violate the confidentiality, integrity, and authenticity of the information12.

References:

CDPSE Review Manual, Chapter 2 – Privacy Architecture, Section 2.3 – Privacy Architecture Implementation3.

CDPSE Certified Data Privacy Solutions Engineer All-in-One Exam Guide, Chapter 2 – Privacy Architecture, Section 2.4 – Remote Access4.

The primary means by which an organization communicates customer rights as it relates to the use of their personal information is publishing a privacy notice. A privacy notice is a document that informs the customers about how the organization collects, uses, shares, and protects their personal information, and what rights and choices they have regarding their data4. A privacy notice is a legal requirement under many data protection laws and regulations, such as the General Data Protection Regulation (GDPR), the California Consumer Privacy Act (CCPA), or the Personal Information Protection and Electronic Documents Act (PIPEDA)5 . A privacy notice is also a good practice to demonstrate the organization’s commitment to transparency, accountability, and customer trust. References:

ISACA Glossary of Terms

Article 13 and 14 of the GDPR

[Section 1798.100 of the CCPA]

[Schedule 1, Principle 4.8 of the PIPEDA]

[ISACA CDPSE Review Manual, Chapter 1, Section 1.3.2]

Cloud vendor agreements are the best way to ensure an organization’s data retention requirements will be met in the public cloud environment because they define the roles, responsibilities and obligations of both parties regarding the collection, storage, processing and disposal of data in the cloud. They also specify the terms and conditions for data protection, security, privacy, compliance and auditability12. Data classification schemes, automated data deletion schedules and service level agreements (SLAs) are useful tools to manage and monitor data retention, but they do not guarantee that the cloud vendor will adhere to the organization’s data retention requirements or that they will be enforceable in case of disputes.

References: 1: CDPSE Review Manual (Digital Version), Domain 1: Privacy Governance, Task 1.7: Participate in the management and evaluation of contracts, service levels and practices of vendors and other external parties 2: CDPSE Certified Data Privacy Solutions Engineer All-in-One Exam Guide, Chapter 2: Privacy Governance, Section: Vendor Management

The role primarily assigned to an internal data owner is authorizing access rights. A data owner is a person or a role within the organization who has the authority and responsibility for the data assets under their control. A data owner is responsible for defining the data classification, data quality, data retention, and data security requirements for their data assets. A data owner is also responsible for granting, revoking, and reviewing the access rights to their data assets based on the principle of least privilege and the business needs. A data owner is accountable for ensuring that the data assets are used in compliance with the organizational policies and the applicable laws and regulations. References:

[ISACA Glossary of Terms]

[ISACA CDPSE Review Manual, Chapter 3, Section 3.2.1]

[ISACA CDPSE Review Manual, Chapter 3, Section 3.2.2]

[ISACA CDPSE Review Manual, Chapter 3, Section 3.2.3]