Visibilité structurée uniquement
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.
Contexte de sensibilité limitée
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.
Métadonnées manuelles
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.
angles morts de l'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.
Gouvernance déconnectée
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.