Governing AI and Privacy Without Becoming the Bottleneck

Brittney Justice is the Global Head of Privacy at Valvoline Inc., leading the company's privacy strategy. She works at the intersection of data privacy, technology, and AI, advising on governance and risk at scale. Brittney also serves on the IAPP Privacy Law Advisory Board, shaping the future of privacy law. In this episode… Privacy and security leaders operate in an environment where innovation moves quickly, and risk evolves just as fast. That's why global companies need to maintain one consistent privacy program and layer in jurisdiction-specific requirements as privacy laws evolve. At the same time, organizations are adopting new AI tools while deepfakes and executive impersonation threats introduce new reputational challenges. How can companies enable innovation while staying ahead of emerging privacy and security risks?  When privacy and security teams are pulled into projects early, relationships strengthen, and teams no longer hesitate to involve them in new initiatives. Instead of being seen as gatekeepers, they become part of the conversation, strengthening trust and collaboration across business teams and prompting proactive issue spotting. That same discipline applies when evaluating and managing AI tools, where privacy leaders need to coordinate with business teams to understand what the tool will accomplish and how it could affect the company. This requires asking: what problem is being solved, what data is involved, and what the real impact would be if something goes wrong, especially when third-party vendors and model training are involved. That same mindset is critical to educating employees about AI deepfakes and executive impersonation risks, as coordinated response planning can reduce impact.  In this episode of She Said Privacy/He Said Security, Jodi and Justin Daniels talk with Brittney Justice, Global Head of Privacy at Valvoline Inc., about building a globally consistent privacy program while supporting business growth and managing emerging AI risks. Brittney explains her approach to building and maintaining one strong global privacy program without creating separate versions for every applicable jurisdiction, and the importance of embedding privacy and security teams into projects early to identify risks. She also shares tips on evaluating new AI tools, managing third-party and AI model training risks, and using executive deepfake simulations to strengthen employee awareness and establish clear escalation paths.