Structured-Only Visibility
Traditional catalogs focus on databases, tables, dashboards, and analytics metadata.
BigID catalogs structured, unstructured, semi-structured, cloud, SaaS, file, app, stream, and AI-connected data.
Limited Sensitivity Context
Many catalogs show assets without identifying what sensitive, regulated, or high-risk data they contain.
BigID enriches catalog assets with classification, sensitivity, risk, privacy, security, and compliance context.
Manual Metadata
Metadata often depends on manual stewardship, user input, and incomplete business descriptions.
BigID helps infer, enrich, and curate metadata with automated discovery, profiling, classification, and context.
Puntos ciegos de la IA
Legacy catalogs were not built for AI training data, RAG content, vector stores, prompts, or model pipelines.
BigID helps catalog AI-ready data, unstructured GenAI content, model-related data, and AI governance context.
Disconnected Governance
Catalogs can be separated from privacy, security, access governance, retention, and compliance workflows.
BigID connects catalog intelligence to privacy, security, DSPM, AI governance, data quality, access, and remediation workflows.