[Mar 08, 2024] CDPSE PDF Recently Updated Questions Dumps to Improve Exam Score
CDPSE Dumps Full Questions with Free PDF Questions to Pass
ISACA CDPSE Certification Exam is ideal for professionals who have experience in data privacy, such as privacy officers, privacy consultants, data protection officers, and privacy attorneys. Certified Data Privacy Solutions Engineer certification is also suitable for IT professionals who are responsible for implementing and managing privacy solutions such as security engineers and architects, data analysts, and compliance officers. The CDPSE Certification Exam is a valuable credential for professionals who want to demonstrate their expertise in data privacy and advance their careers in the field. With the increasing need for data privacy across various industries, the demand for CDPSE certified professionals is expected to grow in the coming years.
NEW QUESTION # 118
Which of the following is MOST important to capture in the audit log of an application hosting personal data?
- A. Application error events
- B. Last user who accessed personal data
- C. Server details of the hosting environment
- D. Last logins of privileged users
Answer: B
Explanation:
Explanation
The most important information to capture in the audit log of an application hosting personal data is the last user who accessed personal data. This is because the audit log is a record of the activities and events that occur within the application, such as user actions, system events, errors, or exceptions. The audit log helps to monitor and verify the compliance, security, and performance of the application, as well as to detect and investigate any incidents or anomalies. Capturing the last user who accessed personal data in the audit log helps to ensure the accountability and traceability of the data access, as well as to identify and prevent any unauthorized or inappropriate use, disclosure, or modification of personal data.
References: CDPSE Review Manual, 2021, p. 147
NEW QUESTION # 119
Which of the following scenarios poses the GREATEST risk to an organization from a privacy perspective?
- A. Privacy training is carried out by a service provider.
- B. The organization's privacy policy has not been reviewed in over a year.
- C. The organization lacks a hardware disposal policy.
- D. Emails are not consistently encrypted when sent internally.
Answer: B
NEW QUESTION # 120
Which of the following provides the BEST assurance that a potential vendor is able to comply with privacy regulations and the organization's data privacy policy?
- A. Including mandatory compliance language in the request for proposal (RFP)
- B. Requiring candidate vendors to provide documentation of privacy processes
- C. Conducting a risk assessment of all candidate vendors
- D. Obtaining self-attestations from all candidate vendors
Answer: C
Explanation:
Explanation
Conducting a risk assessment of all candidate vendors is the best way to provide assurance that a potential vendor is able to comply with privacy regulations and the organization's data privacy policy, because it allows the organization to evaluate the vendor's privacy practices, controls, and performance against a set of criteria and standards. A risk assessment can also help to identify any gaps, weaknesses, or threats that may pose a risk to the organization's data privacy objectives and obligations. A risk assessment can be based on various sources of information, such as self-attestations, documentation, audits, or independent verification. A risk assessment can also help to prioritize the vendors based on their level of risk and impact, and to determine the appropriate mitigation or monitoring actions.
References:
* 8 Steps to Manage Vendor Data Privacy Compliance, DocuSign
* Supplier Security and Privacy Assurance (SSPA) program, Microsoft Learn
NEW QUESTION # 121
What is the BES T way for an organization to maintain the effectiveness of its privacy breach incident response plan?
Require security management to validate data privacy security practices.
Conduct annual data privacy tabletop exercises
- A. Hire a third party to perform a review of data privacy processes.
- B. Involve the privacy office in an organizational review of the incident response plan.
Answer: B
Explanation:
Explanation
The best way for an organization to maintain the effectiveness of its privacy breach incident response plan is to conduct annual data privacy tabletop exercises. A tabletop exercise is a simulated scenario that tests the organization's ability to respond to a privacy breach incident in a realistic and interactive way. A tabletop exercise can help the organization to evaluate the roles and responsibilities of the incident response team, identify the gaps and weaknesses in the plan, improve the communication and coordination among the stakeholders, and update the plan based on the lessons learned and best practices12. A tabletop exercise can also enhance the awareness and readiness of the organization to handle privacy breach incidents in a timely and effective manner3. References:
ISACA CDPSE Review Manual, Chapter 4, Section 4.3.2
ISACA Journal, Volume 4, 2019, "Tabletop Exercises: Three Sample Scenarios" ISACA Journal, Volume 6, 2017, "Privacy Breach Response: Preparing for the Inevitable"
NEW QUESTION # 122
Which authentication practice is being used when an organization requires a photo on a government-issued identification card to validate an in-person credit card purchase?
- A. Biometric authentication
- B. Multi-factor authentication
- C. Knowledge-based credential authentication
- D. Possession factor authentication
Answer: C
NEW QUESTION # 123
When using pseudonymization to prevent unauthorized access to personal data, which of the following is the MOST important consideration to ensure the data is adequately protected?
- A. The data must be stored in locations protected by data loss prevention (DLP) technology.
- B. The key must be a combination of alpha and numeric characters.
- C. The identifier must be kept separate and distinct from the data it protects.
- D. The data must be protected by multi-factor authentication.
Answer: C
Explanation:
Explanation
Pseudonymization is a technique that replaces direct identifiers in a data set with pseudonyms or artificial identifiers that do not reveal the identity of the data subjects. Pseudonymization reduces the linkability of the data set with the original identity of the data subjects and thus enhances the privacy and security of the data.
However, pseudonymization is not irreversible and the original identity can be re-established if the pseudonym or key is compromised. Therefore, it is important to keep the identifier separate and distinct from the data it protects and to apply additional security measures to safeguard the identifier. The other options are not relevant to pseudonymization1, p. 74-75 References: 1: CDPSE Review Manual (Digital Version)
NEW QUESTION # 124
Which of the following needs to be identified FIRST to define the privacy requirements to use when assessing the selection of IT systems?
Type of data being processed
- A. Applicable privacy legislation
- B. Applicable control frameworks
- C. Available technology platforms
Answer: B
Explanation:
Explanation
The applicable privacy legislation needs to be identified first to define the privacy requirements to use when assessing the selection of IT systems, because it sets the legal obligations and standards for the organization to comply with when processing personal data. The type of data, the control frameworks, and the technology platforms are all dependent on the privacy legislation that applies to the organization and its data processing activities. Therefore, the privacy legislation is the primary source of privacy requirements for IT systems.
References:
CDPSE Review Manual, 2023 Edition, Domain 2: Privacy Architecture, Section 2.1.2: Privacy Requirements, p. 75 Compliance with Cybersecurity and Privacy Laws and Regulations1
NEW QUESTION # 125
A technology company has just launched a mobile application tor tracking health symptoms_ This application is built on a mobile device technology stack that allows users to share their location and details of their symptoms. Which of the following is the GREATEST privacy concern with collecting this data via mobile devices?
- A. Client-side device ID
- B. Encryption of key data elements
- C. Data storage requirements
- D. Data usage without consent
Answer: D
NEW QUESTION # 126
Which of the following is the FIRST step toward the effective management of personal data assets?
- A. Establish data security controls.
- B. Minimize personal data
- C. Analyze metadata.
- D. Create a personal data inventory
Answer: D
Explanation:
Explanation
The first step toward the effective management of personal data assets is to create a personal data inventory, which is a comprehensive list of the personal data that an organization collects, processes, stores, transfers, and disposes of. A personal data inventory helps an organization to understand the types, sources, locations, owners, purposes, and retention periods of the personal data it holds, as well as the risks and obligations associated with them. A personal data inventory is essential for complying with data privacy laws and regulations, such as the GDPR or the PDPA, which require organizations to implement data protection principles and practices, such as obtaining consent, providing notice, ensuring data quality and security, respecting data subject rights, and reporting data breaches. A personal data inventory also helps an organization to identify and mitigate data privacy risks and gaps, and to implement data minimization and data security controls.
References:
* ISACA, Data Privacy Audit/Assurance Program, Control Objective 3: Data Inventory and Classification1
* ISACA, Simplify and Contextualize Your Data Classification Efforts2
* PDPC, Managing Personal Data3
* PDPC, PDPA Assessment Tool for Organisations4
NEW QUESTION # 127
A new marketing application needs to use data from the organization's customer database. Prior to the application using the data, which of the following should be done FIRST?
- A. De-identify all personal data in the database.
- B. Ensure the data loss prevention (DLP) tool is logging activity.
- C. Renew the encryption key to include the application.
- D. Determine what data is required by the application.
Answer: D
Explanation:
Explanation
Before using data from the organization's customer database for a new marketing application, the first step should be to determine what data is required by the application and for what purpose. This will help to ensure that the data collection and processing are relevant, necessary, and proportionate to the intended use, and that the data minimization principle is followed. Data minimization means that only the minimum amount of personal data needed to achieve a specific purpose should be collected and processed, and that any excess or irrelevant data should be deleted or anonymized1. This will also help to comply with the data privacy laws and regulations that apply to the organization, such as the General Data Protection Regulation (GDPR) or the California Consumer Privacy Act (CCPA), which require organizations to inform data subjects about the types and purposes of data processing, and to obtain their consent if needed23.
References:
* ISACA, Data Privacy Audit/Assurance Program, Control Objective 2: Data Minimization, p. 61
* ISACA, GDPR Data Protection Impact Assessments, p. 4-52
* ISACA, CCPA vs. GDPR: Similarities and Differences, p. 1-23
NEW QUESTION # 128
Which of the following is the MOST important consideration when determining retention periods for personal data?
- A. Data classification standards
- B. Notice provided to customers during data collection
- C. Storage capacity available for retained data
- D. Sectoral best practices for the industry
Answer: B
Explanation:
Explanation
The notice provided to customers during data collection is the most important consideration when determining retention periods for personal data, as it reflects the transparency and accountability principles of privacy and the expectations and preferences of the data subjects. The notice should inform the customers about the purposes and legal bases of the data processing, the rights and choices of the customers, and the safeguards and measures to protect the data, including how long the data will be kept and when it will be deleted or disposed of. The notice should also be consistent with the applicable laws and regulations that may prescribe or limit the retention periods for certain types of personal data. The other options are not as important as the notice provided to customers during data collection when determining retention periods for personal data.
Sectoral best practices for the industry may provide some guidance or benchmarks for retention periods, but they may not reflect the specific context or needs of the organization or the customers. Data classification standards may help to categorize data according to its sensitivity and value, but they may not indicate how long the data should be retained or deleted. Storage capacity available for retained data may affect the feasibility or cost of retaining data, but it should not determine or override the retention periods based on privacy principles, laws or customer expectations1, p. 99-100 References: 1: CDPSE Review Manual (Digital Version)
NEW QUESTION # 129
Which of the following information would MOST likely be considered sensitive personal data?
- A. Contact phone number
- B. Mailing address
- C. Ethnic origin
- D. Bank account login ID
Answer: C
Explanation:
Explanation
Sensitive personal data is a subset of personal data that reveals or relates to more intimate or confidential aspects of a person's identity, such as their racial or ethnic origin, religious or philosophical beliefs, health status, sexual orientation, political opinions, trade union membership, biometric or genetic data, or criminal record. Sensitive personal data is subject to more stringent legal and regulatory protections and requires a higher level of consent from the data subject to be processed. Mailing address, bank account login ID, and contact phone number are examples of personal data, but not sensitive personal data, as they do not reveal or relate to such intimate or confidential aspects of a person's identity.
References: CDPSE Review Manual, 2021, p. 29
NEW QUESTION # 130
When using anonymization techniques to prevent unauthorized access to personal data, which of the following is the MOST important consideration to ensure the data is adequately protected?
- A. The key must be kept separate and distinct from the data it protects.
- B. The key must be a combination of alpha and numeric characters.
- C. The data must be stored in locations protected by data loss prevention (DLP) technology.
- D. The data must be protected by multi-factor authentication.
Answer: C
NEW QUESTION # 131
From a privacy perspective, it is MOST important to ensure data backups are:
- A. pseudonymized
- B. incremental.
- C. encrypted.
- D. differential.
Answer: C
Explanation:
Explanation
From a privacy perspective, it is most important to ensure data backups are encrypted. Encryption is a process of transforming data into an unreadable form using a secret key or algorithm. Encryption can help protect the confidentiality, integrity, and availability of data backups by preventing unauthorized access, disclosure, or modification. Encryption can also help comply with legal and regulatory requirements for data protection, such as the General Data Protection Regulation (GDPR) or the Health Insurance Portability and Accountability Act (HIPAA). Encryption can be applied to data backups at different levels, such as file-level, disk-level, or network-level encryption.
Incremental backups, differential backups, or pseudonymization are also useful for data backup management, but they are not the most important from a privacy perspective. Incremental backups are backups that only copy the data that has changed since the last backup, whether it was a full, differential, or incremental backup.
Incremental backups can help save storage space and time, but they do not directly protect the data from unauthorized access or disclosure. Differential backups are backups that only copy the data that has changed since the last full backup. Differential backups can also help save storage space and time, but they also do not directly protect the data from unauthorized access or disclosure. Pseudonymization is a process of replacing identifying information in data with artificial identifiers or pseudonyms. Pseudonymization can help enhance the privacy of data by reducing the linkability between data and data subjects, but it does not prevent re-identification or inference attacks.
References: Data backups 101: A complete guide for 2023 - Norton, Backup & Secure | U.S. Geological Survey - USGS.gov, The GDPR: How the right to be forgotten affects backups
NEW QUESTION # 132
Which of the following technologies BEST facilitates protection of personal data?
- A. Data loss prevention (DLP) tools
- B. Data log file monitoring tools
- C. Data profiling tools
- D. Data discovery and mapping tools
Answer: A
Explanation:
Explanation
Data loss prevention (DLP) tools are technologies that help to prevent unauthorized access, use, or transfer of personal data. DLP tools can monitor, detect, and block data leakage or exfiltration from various sources, such as endpoints, networks, cloud services, or email. DLP tools can also enforce data protection policies and compliance requirements, such as encryption, masking, or deletion of sensitive data. DLP tools can help to protect personal data from both internal and external threats, such as malicious insiders, hackers, or accidental exposure.
References:
* Data protection solutions rely on technologies such as data loss prevention (DLP), storage with built-in data protection, firewalls, encryption, and endpoint protection, Cloudian
* Top 10 Hot Data Security And Privacy Technologies, Forbes
NEW QUESTION # 133
Which of the following should an organization do FIRST to ensure it can respond to all data subject access requests in a timely manner?
- A. Confirm what is required for disclosure.
- B. Create a policy for handling access request
- C. Invest in a platform to automate data review
- D. Understand the data in its possession.
Answer: D
Explanation:
Explanation
Before an organization can respond to data subject access requests (DSARs), it needs to have a clear understanding of the data in its possession, such as what types of personal data are collected, where they are stored, how they are processed, who has access to them, and how long they are retained. This will help the organization to locate and retrieve the relevant data for each DSAR, and to ensure that the data are accurate, complete and up to date. Understanding the data in its possession will also help the organization to comply with other data protection principles and obligations, such as data minimization, purpose limitation, security and accountability.
The other options are less important or irrelevant to do first. Investing in a platform to automate data review may help to speed up the response process, but it does not guarantee that the organization has identified all the data sources and categories that are subject to DSARs. Confirming what is required for disclosure is also important, but it depends on the specific request and the applicable law or regulation. Creating a policy for handling access requests is a good practice, but it should be based on a thorough understanding of the data in its possession.
References:
Practical Data Security and Privacy for GDPR and CCPA - ISACA, section 2: "It is important to understand what personal information is collected and processed by an organization." Introduction to Data Subject Access Requests - Everlaw, section 3: "The first step in responding to a DSAR is identifying where the relevant personal data reside within your organization." Guidelines 01/2022 on data subject rights - Right of access Version 1, section 2.1: "The controller should have a clear overview of all processing activities involving personal data."
NEW QUESTION # 134
Which of the following MOST significantly impacts an organization's ability to respond to data subject access requests?
- A. Third-party service level agreement (SLA) data is not always available.
- B. Availability of application data flow diagrams is limited.
- C. Logging of systems and application data is limited.
- D. The organization's data retention schedule is complex.
Answer: B
Explanation:
Explanation
The availability of application data flow diagrams is the most significant factor that impacts an organization's ability to respond to data subject access requests. Data subject access requests are requests made by data subjects to exercise their rights under privacy laws or regulations, such as the right to access, rectify, erase, or port their personal data. To respond to these requests effectively and efficiently, the organization needs to have a clear and accurate understanding of how personal data is collected, processed, stored, shared, and disposed of within its applications and systems. Application data flow diagrams are graphical representations of the data lifecycle that show the sources, destinations, transformations, and dependencies of the data. Having these diagrams readily available helps the organization to locate, retrieve, modify, or delete the personal data in response to the data subject access requests. The other options are less significant or relevant than the availability of application data flow diagrams, as they do not directly affect the organization's ability to identify and access the personal data.
References: CDPSE Review Manual, 2021, p. 83
NEW QUESTION # 135
Which of the following should be the FIRST consideration when selecting a data sanitization method?
- A. Industry standards
- B. Implementation cost
- C. Risk tolerance
- D. Storage type
Answer: D
NEW QUESTION # 136
Which of the following is MOST important to establish within a data storage policy to protect data privacy?
- A. Data redaction
- B. Collection limitation
- C. Irreversible disposal
- D. Data quality assurance (QA)
Answer: B
NEW QUESTION # 137
Which of the following would MOST effectively reduce the impact of a successful breach through a remote access solution?
- A. Regular physical and remote testing of the incident response plan
- B. Regular testing of system backups
- C. Compartmentalizing resource access
- D. Monitoring and reviewing remote access logs
Answer: A
NEW QUESTION # 138
A privacy risk assessment identified that a third-party collects personal data on the organization's behalf. This finding could subject the organization to a regulatory fine for not disclosing this relationship. What should the organization do NEXT?
- A. Disclose the relationship to those affected in jurisdictions where such disclosures are required.
- B. Amend the privacy policy to include a provision that data might be collected by trusted third parties.
- C. Update the risk assessment process to cover only required disclosures.
- D. Review the third-party relationship to determine who should be collecting data.
Answer: A
Explanation:
Explanation
The organization should disclose the relationship to those affected in jurisdictions where such disclosures are required, as this is the most appropriate and compliant action to take after identifying a privacy risk related to third-party data collection. Disclosing the relationship to the data subjects is a way of providing transparency and accountability, as well as respecting their rights and choices regarding their personal data. It also helps the organization avoid regulatory fines or sanctions for not complying with the applicable privacy laws or regulations that mandate such disclosures. The other options are not as effective or sufficient as disclosing the relationship, as they do not address the root cause of the risk, do not mitigate the potential harm to the data subjects, or do not align with the privacy principles and best practices.
References: CDPSE Review Manual, 2021, p. 36
NEW QUESTION # 139
A software development organization with remote personnel has implemented a third-party virtualized workspace to allow the teams to collaborate. Which of the following should be of GREATEST concern?
- A. There is a lack of privacy awareness and training among remote personnel.
- B. The third-party workspace is hosted in a highly regulated jurisdiction.
- C. Personal data could potentially be exfiltrated through the virtual workspace.
- D. The organization's products are classified as intellectual property.
Answer: C
Explanation:
Explanation
The answer is B. Personal data could potentially be exfiltrated through the virtual workspace.
A comprehensive explanation is:
A virtualized workspace is a cloud-based service that provides remote access to a desktop environment, applications, and data. A virtualized workspace can enable software development teams to collaborate and work efficiently across different locations and devices. However, a virtualized workspace also poses significant privacy risks, especially when it is implemented by a third-party provider.
One of the greatest privacy concerns of using a third-party virtualized workspace is the potential for personal data to be exfiltrated through the virtual workspace. Personal data is any information that relates to an identified or identifiable individual, such as name, email, address, phone number, etc. Personal data can be collected, stored, processed, or transmitted by the software development organization or its clients, partners, or users. Personal data can also be generated or inferred by the software development activities or products.
Personal data can be exfiltrated through the virtual workspace by various means, such as:
* Data breaches: A data breach is an unauthorized or unlawful access to or disclosure of personal data. A data breach can occur due to weak security measures, misconfiguration errors, human errors, malicious attacks, or insider threats. A data breach can expose personal data to hackers, competitors, regulators, or other parties who may use it for harmful purposes.
* Data leakage: Data leakage is an unintentional or accidental transfer of personal data outside the intended boundaries of the organization or the virtual workspace. Data leakage can occur due to improper disposal of devices or media, insecure network connections, unencrypted data transfers, unauthorized file sharing, or careless user behavior. Data leakage can compromise personal data to third parties who may not have adequate privacy policies or practices.
* Data mining: Data mining is the analysis of large and complex data sets to discover patterns, trends, or insights. Data mining can be performed by the third-party provider of the virtual workspace or by other authorized or unauthorized parties who have access to the virtual workspace. Data mining can reveal personal data that was not explicitly provided or intended by the organization or the individuals.
The exfiltration of personal data through the virtual workspace can have serious consequences for the software development organization and its stakeholders. It can result in:
* Legal liability: The organization may face legal actions or penalties for violating the privacy laws, regulations, standards, or contracts that apply to the personal data in each jurisdiction where it operates or serves. For example, the General Data Protection Regulation (GDPR) in the European Union imposes strict obligations and sanctions for protecting personal data across borders.
* Reputational damage: The organization may lose trust and credibility among its clients, partners, users, employees, investors, or regulators for failing to safeguard personal data. This can affect its brand image, customer loyalty, market share, revenue, or growth potential.
* Competitive disadvantage: The organization may lose its competitive edge or intellectual property if its personal data is stolen or misused by its rivals or adversaries. This can affect its innovation capability, product quality, or market differentiation.
Therefore, it is essential for the software development organization to implement appropriate measures and controls to prevent or mitigate the exfiltration of personal data through the virtual workspace. Some of these measures and controls are:
* Data minimization: The organization should collect and process only the minimum amount and type of personal data that is necessary and relevant for its legitimate purposes. It should also delete or anonymize personal data when it is no longer needed or required.
* Data encryption: The organization should encrypt personal data at rest and in transit using strong and standardized algorithms and keys. It should also ensure that only authorized parties have access to the keys and that they are stored securely.
* Data segmentation: The organization should segregate personal data into different categories based on
* their sensitivity and risk level. It should also apply different levels of protection and access control to each category of personal data.
* Data governance: The organization should establish a clear and comprehensive policy and framework for managing personal data throughout its lifecycle. It should also assign roles and responsibilities for implementing and enforcing the policy and framework.
* Data audit: The organization should monitor and review the activities and events related to personal data on a regular basis. It should also conduct periodic assessments and tests to evaluate the effectiveness and compliance of its privacy measures and controls.
* Data awareness: The organization should educate and train its staff and users on the importance and best practices of protecting personal data. It should also communicate and inform its clients, partners, and regulators about its privacy policies and practices.
The other options are not as great of a concern as option B.
The third-party workspace being hosted in a highly regulated jurisdiction (A) may pose some challenges for complying with different privacy laws and regulations across borders. However it may also offer some benefits such as higher standards of privacy protection and enforcement.
The organization's products being classified as intellectual property may increase the value and attractiveness of the personal data related to the products, but it does not necessarily increase the risk of exfiltration of the personal data through the virtual workspace.
The lack of privacy awareness and training among remote personnel (D) may increase the likelihood of human errors or negligence that could lead to exfiltration of personal data through the virtual workspace. However it is not a direct cause or source of exfiltration, and it can be addressed by providing adequate education and training.
References:
* 8 Risks of Virtualization: Virtualization Security Issues1
* Security & Privacy Risks of the Hybrid Work Environment2
* The Risk of Virtualization - Concerns and Controls3
* What is Virtualized Security?4
NEW QUESTION # 140
An organization want to develop an application programming interface (API) to seamlessly exchange personal data with an application hosted by a third-party service provider. What should be the FIRST step when developing an application link?
- A. Data mapping
- B. Data tagging
- C. Data normalization
- D. Data hashing
Answer: A
Explanation:
Explanation
Data mapping is the process of defining how data elements from different sources are related, transformed, and transferred to a common destination. Data mapping is the first step when developing an application link because it helps to ensure that the data exchanged between the API and the third-party application is consistent, accurate, and compatible. Data mapping also helps to identify any gaps, errors, or conflicts in the data and resolve them before the data transfer occurs.
References:
* What is Data Mapping?, Talend
* Data Mapping: What It Is and How to Do It, Xplenty
NEW QUESTION # 141
Which of the following tracking technologies associated with unsolicited targeted advertisements presents the GREATEST privacy risk?
- A. Beacon-based tracking
- B. Radio frequency identification (RFID)
- C. Website cookies
- D. Online behavioral tracking
Answer: C
NEW QUESTION # 142
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ISACA CDPSE (Certified Data Privacy Solutions Engineer) Certification Exam is a highly respected and valued certification in the field of data privacy solutions engineering. It is designed for professionals who are looking to advance their careers in this field and demonstrate a deep understanding of the latest data privacy technologies, policies, and practices. With a global recognition and a rigorous examination process, the CDPSE certification is an ideal choice for individuals who are looking to establish themselves as experts in data privacy solutions engineering.
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