A
system for enterprise
metadata convergence, autonomous analytics generation, and
quantum-safe
data management, comprising: at least one processor; at least one memory communicatively connected to the at least one processor; a
metadata ingestion unit configured to communicate with a variety of heterogeneous enterprise data stores, including
cloud storage systems, relational databases, non-relational databases, streaming infrastructures,
software service repositories, analytics environments, and
artificial intelligence data sources, to extract structural
metadata, operational metadata, governance metadata,
provenance metadata, and
semantic relationship metadata;a normalization processor that is communicatively connected to the metadata capture unit and configured to transform heterogeneous metadata representations into a unified
semantic representation structure through
semantic matching, duplicate
elimination, entity matching, and relationship mapping operations; a semantic intelligence processor configured to generate and maintain a semantic graph structure consisting of interconnected semantic entities representing enterprise resources, business concepts, governance policies, origin relationships, identity associations, trust indicators, and operational dependencies;an analytics
orchestration processor configured to receive enterprise requests, determine the semantic intent associated with the enterprise requests, generate analytics execution workflows, synthesize
executable query structures, coordinate analytical
processing operations, and generate explainable analytical outputs; a governance arbitration processor configured to dynamically evaluate enterprise requests against contextual governance parameters, including identity attributes, semantic classifications, jurisdiction constraints, indicators of operational intent, trust
metrics, and sensitivity classifications, to selectively authorize, deny, anonymize, aggregate, tokenize, or
restrict enterprise data interactions;a cryptographic coordination processor configured to generate, distribute, rotate, revoke, and validate cryptographic keys associated with enterprise resources, governance operations, analytics execution sessions, and audit logs, using cryptographic agility operations that support classical cryptographic techniques and post-
quantum cryptography techniques; an AI mediation processor configured to intercept prompts, contextual retrieval operations,
inference queries, and generated outputs from generative
AI systems and perform semantic validation, policy evaluation, context constraints, and explainability checks before allowing the
dissemination of the generated outputs;and a temporal audit processor configured to store immutable operational
data records related to governance decisions, lineage transitions, analysis operations, cryptographic events, and interactions with
artificial intelligence within a
distributed ledger structure using
timestamp-linked cryptographic
verification operations.