Examples include: 1. building AI systems that support safer, smarter, and more personal commerce 2. developing shared data platforms and lakehouse capabilities to accelerate innovation 3. improving data discoverability, quality, and lifecycle management 4. advancing AI deployment, monitoring, and operations at enterprise scale 5. supporting new AI ideas through a structured AI intake and prioritization process. All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and.