The article further discusses the rise of AI-driven cyber threats and the use of AI-driven solutions for protection. It mentions the increasing popularity of Data Clean Rooms (DCRs) that adhere to privacy rules and the need for business-specific data protection. The article concludes by stressing the importance of defending against emerging fraud tactics, complying with evolving regulations, and reevaluating cybersecurity policies.
Key takeaways:
- Ad tech companies should prioritize privacy and adhere to EU privacy regulations, including COPPA, by providing clear instructions for data collection and processing, and outlining users' rights in their privacy policies.
- AI and ML systems pose potential risks such as data leakage or system failures, but can also be used to analyze cybersecurity threats and adapt to new threats, helping organizations stay ahead of fraudsters.
- Data Clean Rooms (DCRs) have become a popular solution for privacy issues, as they adhere to privacy rules and prevent the disclosure of personal identifiable information (PII).
- Ad tech businesses should conduct audits of their security and data processing solutions, ensuring they are relevant to business needs and include mechanisms for information security in the cloud.