AgriTrust features a Core Ontology, an OWL-based semantic model that defines how digital assets, credentials, contracts, and observations are described and linked across systems. By aligning with ...

The researchers designed MediChainAI not just as a security enhancement but as a philosophical reorientation of how data is ...

As organizations continue to rely on data to make key business decisions, they must establish a robust data management plan to ensure that data across their organization is handled consistently and ...

Data Governance (DG) is the systematic approach to managing, organizing, and securing an organization’s data assets. For a long time, large organizations were the ones mainly concerned with this topic ...

Responsible organizations understand that privacy governance is essential for the systematic and compliant management of personal data and for maintaining customer and stakeholder trust. In a world ...

While there are powerful technology solutions available to professionals today, especially AI-based ones, none will perform ...

Data governance is the process of managing the availability, usability, integrity, and security of an organization’s data. Effective data governance requires a structured approach that covers data ...

India notifies DPDP Rules 2025, completing its privacy regime. With citizen rights, accountability and phased compliance, the ...

Increasingly, organizations are including privacy and data governance metrics and disclosure as part of their environmental, social and governance (ESG) reporting framework. With the adoption of ...

The policy aims to provide an institutional framework for data, standards, guidelines and protocols for sharing of non-personal data sets while ensuring privacy, security and trust: MoS The policy ...

India releases its first AI governance framework, choosing adaptive regulation through existing laws over a new statute to ...