Trust must be at the center of any effort that seeks to protect and assure the appropriate use of data. Trust that can be proven and verified. Mathematically. Trust starts with real-time, context-based data policies to make sure data is secured and accessed appropriately, and continues with strong encryption to ensure data privacy and integrity are always maintained, even as data moves locations, transforms states, or when business and technical policies change. Matching these services with data-centric event logging, which remains consistent regardless of the underlying infrastructure, proves the integrity of the data and keeps the business accountable to its stakeholders.
This Data Trust Platform Overview provides an in-depth look at each of the three tiers of the platform architecture: the endpoint, the enterprise, and ionic.com, the API-driven command center to manage policy and monitor data access. The paper considers deployment flexibility for on-premises, hybrid, and cloud architectures.