The Benefits of Privacy-Enhancing Technologies (PETs) In AdTech (2024)

Privacy-enhancing technologies (PETs) are a set of tools and techniques designed to protect individual privacy and personal data. These technologies are particularly relevant to the advertising technology (AdTech) industry, which relies heavily on user data to display target and personalized ads and measure their effectiveness.

In this blog post, we’ll explore the benefits of PETs in AdTech and the challenges that come with implementing them.

This is our second article on the topic of privacy-enhancing technologies in AdTech. If you want to learn what PETs are, what examples of PETs exist in AdTech, why and how they are used, and what the future holds for them, then read our blog post: What Are Privacy-Enhancing Technologies (PET) In AdTech? And if you want to know why companies should be looking at implementing privacy-enhancing technologies (PETs) into their businesses, read Clearcode’s piece in Exchange Wire’s Industry Review 2023.

Key Points

  • Privacy-enhancing technologies (PETs) are technologies designed to protect user privacy while still enabling data collection and analysis. They can include techniques such as encryption, anonymization, and differential privacy.
  • Thanks to PETs, advertisers can target specific audiences without collecting or sharing personal data. This can improve user trust and reduce the risk of data breaches or misuse.
  • PETs can also help advertisers and publishers comply with privacy regulations, such as GDPR and CCPA.
  • Advertisers can use PETs to gather insights about user behavior and preferences without exposing personal data. This can lead to more effective ad targeting and a better user experience.
  • PETs can also benefit publishers by allowing them to monetize their content without compromising user privacy. By using PETs to collect non-personal data, publishers can offer more relevant ads to their audiences without risking user trust.
  • While PETs can offer many benefits, they are not a silver bullet for privacy concerns in AdTech. Companies must still be transparent about their data collection practices and ensure that they are using PETs effectively to protect user privacy.

The Benefits of Privacy-Enhancing Technologies (PETs) In AdTech

Protecting Personal Information

One of the main benefits of PETs in AdTech is securing personal information. PETs ensure that user data is collected, processed, and stored securely, reducing the risk of data breaches and unauthorized access. This not only protects the privacy of individuals but also helps companies avoid costly lawsuits and reputational damage.

Examples of PETs that protect personal information include:

  • Anonymization techniques — to remove personally identifiable information (PII) from user data, such as names, addresses, and phone numbers.
  • Differential privacy — to add noise to data to make it difficult to identify individual users.
  • hom*omorphic encryption — to process encrypted data.

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Maintaining User Trust

PETs can help companies build and maintain user trust by providing transparent data collection and processing practices. By being transparent about how data is collected and used, companies can show that they respect user privacy and are committed to protecting their data.

Things that help maintain user trust in the context of privacy-enhancing technologies include:

  • Privacy policies — AdTech companies can explain their practices of data collection and thus give users control over their data.
  • User consent — AdTech companies can obtain user consent through opt-in or opt-out mechanisms, depending on the type of data being collected.
  • Data minimization — AdTech companies should only collect the data necessary to provide their services.

Compliance With Regulations

PETs can help companies comply with privacy regulations such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). These regulations require companies to implement specific privacy protections and disclose how user data is collected and used.

PETs can help companies meet these requirements and avoid fines and legal penalties.

Companies can use differential privacy algorithms in their data analysis to extract valuable insights while preserving individual privacy. By aggregating and anonymizing sensitive data, these algorithms prevent the identification of individual users. This approach helps companies meet privacy law requirements like GDPR and CCPA, reducing the risk of fines and legal consequences while safeguarding user privacy.

Examples of laws that regulate the collection, storage and use of data:

  • General Data Protection Regulation (GDPR) — regulates the collection, use, and storage of personal data by businesses and organizations in the EU.
  • California Consumer Privacy Act (CCPA) — gives California residents the right to know what personal information is being collected about them, the right to request that their personal information be deleted, and the right to opt-out of the sale of their personal information.
  • Personal Data Protection Act (PDPA) — the PDPA is a privacy law in Singapore that regulates the collection, use, and disclosure of personal data by organizations. It gives individuals the right to access their personal data and to request that it be corrected if necessary.
  • General Data Protection Law (LGPD) — LGPD is a Brazilian privacy law that enhances privacy by regulating the collection, use, and storage of personal data by businesses and organizations in Brazil.
  • Privacy Act 1988 — The Privacy Act is an Australian law that enhances privacy by regulating the handling of personal information by Australian government agencies and some private sector organizations.
  • Personal Data Protection Act (PDPA) — The PDPA is a privacy law in Malaysia that enhances privacy by regulating the processing of personal data by organizations.
The Benefits of Privacy-Enhancing Technologies (PETs) In AdTech (1)

Improving the Accuracy of Data

PETs can also help companies improve the accuracy of their data. By using PETs, companies can ensure that the data they collect is high-quality and reliable, which can improve the effectiveness of their advertising campaigns.

Data validation

Data validation is the process of ensuring that data is accurate and complete. For example, one privacy-enhancing technology that can be used for data validation is hom*omorphic encryption.

hom*omorphic encryption is a type of encryption that allows computations to be performed on encrypted data without decrypting it first. AdTech companies can use hom*omorphic encryption to validate their data without exposing it to third parties or risking a data breach.

Data enrichment and collaboration

Data enrichment is the process of enhancing existing data with additional information. PETs can help AdTech companies to perform data enrichment in several ways.

For example, they can use anonymization techniques to remove personally identifiable information (PII) from user data before enriching it with additional information. This ensures that the privacy of users is protected while their data is being enhanced.

PETs can be used to enable secure data sharing and collaboration between different AdTech companies while preserving user privacy.

This can be achieved by using techniques such as secure multi-party computation (MPC) or hom*omorphic encryption, which allow multiple parties to perform computations on encrypted data without revealing the underlying data.

Machine learning

Privacy-enhancing technologies (PETs) can be used in AdTech to ensure that machine learning models are trained on private data without compromising user privacy.

Reducing Costs

PETs can help companies reduce costs by minimizing the risk of data breaches and reducing the costs associated with maintaining a large and complex tech stack.

By reducing the need for data storage and processing, advertisers, publishers, and AdTech companies can save money on infrastructure and maintenance costs.

The Challenges of Privacy-Enhancing Technologies (PETs) In AdTech

Despite the many benefits that privacy-enhancing technologies (PETs) offer for the AdTech industry, there are also several challenges that must be addressed for their effective implementation. These challenges can range from technical and financial to legal.

Complexity

Privacy-enhancing technologies can be complicated to understand and implement, requiring specialized knowledge and expertise. For example, the implementation of federated learning requires expertise in distributed systems and machine learning algorithms.

Compatibility With Existing Systems

Implementing PETs can be demanding and difficult, requiring compatibility with existing IT systems and integrations with workflows.

Cost

The adoption, maintenance, and adjustment of PETs can be costly, which can be a barrier for some companies. The cost of implementing PETs can include hardware and software purchases, employee training, ongoing maintenance and updates.

Trade-Offs

PETs can require trade-offs between privacy and other considerations, such as the accuracy of data. Companies may need to balance the benefits of PETs with other priorities, such as marketing effectiveness or business goals.

Lack of Standards

The absence of standardized PETs can make it hard for companies to choose the best solutions for their requirements.

Nevertheless, the Interactive Advertising Bureau (IAB) has formed a dedicated group to develop standards for PETs in AdTech.

This group consists of advertisers, publishers, technology providers, and privacy advocates. They aim to create a set of standardized protocols for PETs that will be accepted by the industry.

The standardization of PETs will ensure that they are effective and consistent across the industry.

Opportunities of Privacy-Enhancing Technologies (PETs) In AdTech

Despite the challenges, PETs also offer significant opportunities for publishers and advertisers, including improved cybersecurity and new innovations.

As we mentioned earlier, PETs can reduce the risk of data breaches and leaks, which can help companies avoid costly legal and reputational damage.

PETs are a way to enhance the privacy and security of users, which can be a selling point for companies. By demonstrating a commitment to user privacy, companies can build trust and loyalty among their customers.

Summary

Privacy-enhancing technologies offer many benefits to the AdTech industry, including improved data protection, regulatory compliance, and user trust.

However, the adoption of PETs also comes with challenges, including complexity, compatibility with existing systems, and cost considerations. AdTech companies must be aware of these challenges and develop strategies to overcome them effectively.

Overall, the development and adoption of PETs is critical to ensure the protection of user privacy in a constantly evolving digital landscape.

By investing in PETs and working together to establish standards and best practices, AdTech companies can prioritize user privacy while continuing to provide effective programmatic advertising processes.

We Can Help You Build an AdTech Platform

Our AdTech development teams can work with you to design, build, and maintain a custom-built AdTech platform for any programmatic advertising channel.

Learn more

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FAQs

The Benefits of Privacy-Enhancing Technologies (PETs) In AdTech? ›

These technologies can keep a consumer's communications private from a company, allow users to access data without the company learning who they are, or enable a company to use analytics and research to improve a product without gaining access to data about individuals.

How are privacy enhancing technologies used to protect PII? ›

By aggregating and anonymizing sensitive data, these algorithms prevent the identification of individual users. This approach helps companies meet privacy law requirements like GDPR and CCPA, reducing the risk of fines and legal consequences while safeguarding user privacy.

What is pet in privacy by design? ›

What are “Privacy Enhancing Technologies”? PETs enable companies to embed privacy-by-design principles into their data governance practices. By applying PETs, companies can minimize the amount of personal data they collect, use and share, while maximizing data security.

What are the privacy enhancing computation technology? ›

Privacy-enhancing computation protects data in use while maintaining privacy or secrecy online common data-at-rest security measures.

Which of the following technologies can lead to improvement of user privacy? ›

Utilizing technologies like data encryption, SSO, DLP, PEC, and SASE can significantly bolster data privacy. These solutions offer protection against unauthorized access and data leaks, ensuring information remains secure and private.

What are the benefits of privacy enhancing technologies? ›

These technologies can keep a consumer's communications private from a company, allow users to access data without the company learning who they are, or enable a company to use analytics and research to improve a product without gaining access to data about individuals.

What is the primary objective of implementing privacy enhancing technologies (PETs) in data processing systems? ›

PETs aim to empower users to maintain control over their personal data and limit the exposure of sensitive information to unauthorized parties. These technologies are particularly important in the context of increasing concerns about data privacy and security in the digital age.

What does PET stand for in privacy? ›

Privacy-enhancing technologies (PET) are technologies that embody fundamental data protection principles by minimizing personal data use, maximizing data security, and empowering individuals.

What are PETs in technology? ›

What are privacy-enhancing technologies (PETs)? 'software and hardware solutions, ie systems encompassing technical processes, methods or knowledge to achieve specific privacy or data protection functionality or to protect against risks of privacy of an individual or a group of natural persons.

What is PET in UX design? ›

Persuasion, emotion, and trust are critical factors for creating successful online interactions. While traditional user-centered design focuses on design- ing for usability, it is now essential to leverage the science of PET to influence users.

How can technology help privacy? ›

One of the most significant technological advancements in data privacy is the development of more robust encryption technologies. Beyond traditional methods, new forms of encryption like hom*omorphic encryption allow data to be processed while remaining encrypted, ensuring data privacy without sacrificing usability.

How privacy enhancing technology is connected with AI? ›

To stay ahead in this evolving landscape, AI engineers are implementing privacy-enhancing technologies (PETs) as the next-generation safeguards for their systems, ensuring that the audience is informed and prepared for the future of data privacy.

What are the privacy protecting technologies? ›

Privacy Enhancing Technologies (PETs) are a suite of tools that can help maximise the use of data by reducing risks inherent to data use. Some PETs provide new tools for anonymisation, while others enable collaborative analysis on privately-held datasets, allowing data to be used without disclosing copies of data.

What is an example of a privacy enhancing technology? ›

PETs include methods like encryption, anonymization, access controls, and solutions such as differential privacy, synthetic data generation, and confidential computing. They help organizations and individuals maintain control over their data and mitigate privacy risks in an increasingly data-centric world.

What is pet technology? ›

When we talk about smart pet tech, we're referring to a range of devices designed to enhance the well-being of our pets. These devices utilize advanced technology to provide features such as automated feeding, fitness tracking, remote monitoring, and interactive play.

What are privacy enhancing technologies synthetic data? ›

Privacy Enhancing Technologies (PETs) are a suite of tools and techniques that allow the processing, analysis, and extraction of insights from data without revealing the underlying personal or commercially sensitive data.

How can technology be used to protect privacy? ›

Several trusted intermediary systems currently in use on the Internet are designed to prevent the release of personal information. These anonymizing systems generally remove all personally-identifiable information (such as name and email address) from communications before forwarding them to the intended recipients.

Which is the best way to protect access to PII? ›

Secure Sensitive PII in a locked desk drawer, file cabinet, or similar locked enclosure when not in use. When using Sensitive PII, keep it in an area where access is controlled and limited to persons with an official need to know.

Which privacy enhancing technology performs a reversible substitution of PII? ›

Expert-Verified Answer. The privacy-enhancing technology that performs a reversible substitution of PII and stores the private data elsewhere is called tokenization. Tokenization is a privacy-enhancing technique used to protect sensitive data, such as personally identifiable information (PII).

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