Webinar
Unlocking More AI Use Cases with Tokenization
Secure your data without sacrificing its utility. Watch our discussion with PwC to learn how adding tokenization creates a modern, layered data security strategy for the AI era.
Proven strategies to build a layered data security architecture
Balancing data security with data utility is one of the biggest challenges for AI and analytics teams. Masking is an important way to safeguard sensitive data, especially for privacy-driven workflows. But when used for training AI/ML models, it changes the format and breaks data relationships, which can leave teams with incomplete data and weaker results.
Our research shows that adding tokenization can preserve data usability, enabling more accurate models, stronger predictions and faster time to value—all while keeping data secure at rest, in motion and in use.
Expect to learn:
Challenge of balancing data security and utility: Understand the core struggle enterprises face in securing data while making it useful for AI training & workloads.
Our research findings on tokenization vs. data masking: Gain insights from the research conducted by Capital One Databolt and PwC, which tested tokenization against data masking in real-life use cases, demonstrating significantly higher accuracy scores for AI/ML models using tokenized datasets.
Capital One Databolt as a premier tokenization solution: Explore how Databolt’s tokenization complements existing encryption and masking, providing a modern, layered data security strategy.
Featured speakers
Derek Baldus
Senior Director - Data Privacy and Risk Practice, PwC
Derek is PwC’s chief architect for data tokenization and encryption services. He supports Fortune 100 companies across industries to secure their AI-enabled analytics platforms through tokenization.
Vince Goveas
Director - Product Management, Capital One Software
Vince is a product leader specializing in building secure solutions. He has experience leading AI/data governance, building data protection infrastructure and pioneering tokenization at global tech companies.
Harper Foley
Senior Manager - Product Management, Capital One Software (alum)
Harper was a senior product manager at Capital One Software where he led product strategy for secure data sharing and AI. His work centered on securing data for use in AI/ML models and serving critical data sharing use cases in highly regulated industries like financial services and healthcare. This work built on his experience as a multi-sector tech founder, including co-founding a TechCrunch Disrupt finalist venture that develops AI-powered software for hospital systems.