Can the growing use of first-party data in mobile app advertising result in more effective, privacy-preserving ads? Are app store policies (around fingerprinting and the use of deterministic IDs) more relevant than specific data protection laws and enforcement actions? Can AI take contextual information to the next level? Will LLMs result in collecting less data in order to anticipate customer journeys?

Zino Rost van Tonningen is the CEO of TyrAds, a cutting-edge adtech company revolutionizing mobile app marketing with privacy-first programmatic solutions. With over a decade of experience in growth and product strategy for fast-moving brands, Zino combines creative agility with strategic rigor to help startups and established app publishers scale effectively in today’s cookieless ecosystem.

References:

* Zino Rost van Tonningen on LinkedIn

* TyrAds: Mobile App Growth Simplified

* Spotify: How We Automated Content Marketing to Acquire Users at Scale

* Apple Developers: User privacy and data use

* ATT opt-in rates in 2025: Benchmarks, insights and how to increase yours (Purchasely)

* Overview of the SDK Runtime on Android

Dr. Stefano Bennati has over a decade of experience developing tools and processes to ensure data-centric organizations comply with privacy, licensing, and responsible AI standards.

Our guest has led privacy engineering and responsible AI teams with a global mandate. His work includes building and deploying compliance tools such as code scanners, AI-powered algorithms for personal data detection and anonymization, design processes for compliance with ISO 27701 Privacy IMS and ISO 42001 AI IMS standards. His latest work is a book (co-authored with Dr. Engin Bozdağ) is titled “AI Governance: Secure, privacy-preserving, ethical systems”, a practical and accessible guide to govern AI and mitigate security, privacy, ethics and regulatory risks.

References:

* Dr. Stefano Bannati on LinkedIn

* AI Governance: Secure, privacy-preserving, ethical systems (Engin Bozdağ, Stefano Bennati) - Use this code to get a 50% discount between Nov 25 and Dec 9th 2025: MLBozdag.

* Lokke Moerel: using personal data in the development and deployment of AI models (Masters of Privacy, December 2024)

* An overview of machine unlearning (Chunxiao Li et al., 2025)

* Discussion Paper: Large Language Models and Personal Data (Hamburgische Beauftragte für Datenschutz und Informationsfreiheit)

* EDPB Opinion 28/2024 on certain data protection aspects related to the processing of personal data in the context of AI models

As promised last week, today’s episode provides greater context on US ePrivacy audits, CIPA/VPPA claims, and EU-US comparative law as it affects the rollout or maintenance of MarTech solutions on websites and mobile applications.

References:

* “The slippery slope of consent banners in preventing CIPA and VPPA claims: why effective Opt-Outs will prevail - also in the EU” (Sergio Maldonado, November 2025 - you are listening to Part I of the more comprehensive analysis)

* Jennifer Oliver: privacy litigation over pixels, trackers, and cookies (Masters of Privacy, August 2025)

* From wiretapping and video rentals to website pixels, SDKs, and APIs. CIPA/VPPA litigation, risk management, and practical strategies (Nov 2025 update)

* Toolbox: Fast CIPA/VPPA website auditing and case law matching for legal professionals (Alpha release).