PrivacyChain Information

Organizations deploying AI must solve two concrete, costly, and largely unsolved data problems that conventional data management systems are ill-equipped to solve: 1. Data Protection: AI-enabled threats and powerful AI models and agents have increased the threat faced by data protection teams. AI guardrails are insufficient. 2. Converting raw, multi-source data into the aggregated, contextualized, trusted form that AI requires is operationally complex, requires layers of data management infrastructure, time-consuming and expensive. PrivacyChain's AI Data Operating Store (AIDOS) is built to solve both problems. Powered by PrivacyChain’s patented Distributed Data Management System, the AIDOS sits between an organization's existing core data stores (e.g., warehouses, data lakes, operational databases, time-series historians), and the AI models and agents that consume data. It allows organizations to keep AI out of their core data stores and it creates a “AI safe data store” that adds a new level of behind-the-perimeter data protection. The AIDOS also simplifies the transformation of raw data into trusted, contextualized data optimized for AI leading to significant cost savings opportunities. The AIDOS delivers four critical benefits to any organization that seeks to generate meaningful benefits and ROI from AI deployments. 1. It allows organizations to deploy AI models and agents without giving them access to core data storage. 2. AI models and agents have access only to data that they have explicitly been given authorization to access. Access control is enforced at the individual data record level. 3. It maintains an auditable and immutable history of the data that is accessed by a model or agent. This history is captured and maintained at the individual data record level. 4. It significantly reduces the cost of turning raw data into the trusted, contextualized data required by AI models and agents. DM for more info https://www.linkedin.com/in/andrewdhopkins/