Solutions Hub: Data Governance Automation

Automate data governance across every data type

AI maps your data to your business terms, one catalog holds the context, and compliance follows, for structured, unstructured and AI data at enterprise scale.

BigID extracts metadata from any platform, applies your business terms with AI classification, and catalogs billions of objects with the context analysts and AI agents need. Findings flow to the catalogs you already run, reach business users through the AI assistants they already use, and carry compliance with hundreds of regulations along with them.

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Your business glossary

AI classification, mapped to your glossary

Business terms applied across structured, unstructured and semi-structured data, at scale

How far it scales

One catalog for billions of objects

Technical metadata, sensitive findings, operational context and inferred ownership in one place

Was es automatisiert

Compliance with hundreds of regulations

Assessed automatically, with new regulations added regularly

Where governance starts

Governance that reaches every data type, in your own business terms

Data governance has been built around people and process. It starts with the business glossary: stewards sample a database and map ambiguous column names to a pick list of approved business terms. That work carries as far as the stewards can reach, and it stops at structured data, which leaves files, email and code, where much of the data feeding AI sits, outside it. Lineage, quality and policy all inherit the accuracy and coverage of that mapping, so BigID moves it to AI. Every data type is mapped to your business terms, the catalog speaks the language of the business as well as the database, and the result is something analysts, assistants and agents can all use.

For data and governance leaders

Every data type in your business language. Business terms applied by AI across structured and unstructured data, so lineage, quality and policy start from complete, accurate definitions.

For stewards, analysts and business users

A catalog people want to open. Find the right data for the purpose in plain language, from the data browser or from the AI assistant already on their desktop.

For AI and security teams

Context agents can use safely. Catalog findings reach agents over BigID's RBAC-controlled MCP, limited by identity, role and approved intent.

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Ask Your Data Security Platform Anything

Questions about the data estate asked in plain language from Claude over MCP, and answered by BigID with the same permissions and audit trail as the console.

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See how BigID catalogs metadata and gives each agent only the context its identity, role, and intent allow.

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From raw data to a catalog that people and agents can use

Mapping data to your business terms is the step every other governance operation depends on, so BigID automates it first. Once every object carries an approved business term and its context, lineage, quality, compliance and AI access can all start from the same foundation.

Hier beginnen

Where teams start with governance automation

How do ambiguous column names get mapped to approved business terms? AI classification reads the data, matches it to a glossary definition, and recommends a business term where none exists, so mapping runs at the pace of the data instead of the pace of a sampling exercise. AI glossary mapping → What about files, email, chat and code? Metadata extraction and glossary mapping cover structured, unstructured and semi-structured data, so the content AI depends on is cataloged and governed alongside the databases. Any data type → How large can the catalog grow? The core catalog scales to billions of objects, which puts everything in the enterprise in one place, with extraction that works across platforms and at scale. Scale and coverage → What does the catalog know beyond technical metadata? Sensitive findings, file labels and tags, access permissions and actual access history, age and freshness, inferred ownership, and duplicate or derivative copies, all attached to the object they describe. Catalog context → We already run a catalog and a glossary. Can BigID work with them? Every BigID finding can be pushed to Atlan, Collibra, Alation, Databricks or a proprietary catalog through Metadata Exchange, and existing glossaries and business terms can be brought into BigID. Hydrate your catalogs → How do business users find and use the right data? Through the data browser, AI search and subscriptions, or by asking Claude, Copilot or GPT, with BigID's security embedded so each person sees what their identity and role allow. Discovery and consumption → Can AI agents use catalog context without seeing everything? Agents reach BigID through an RBAC-controlled MCP, approved agents are recognized by identity, and each one is limited to the context data its role and stated intent call for. Context for agents → How do we decide which agents may use which context? BigID discovers agents natively, keeps an approved list, restricts different agents to different context data through permission controls, and checks requests against the intent defined in supporting context files. Agent controls → How is compliance kept current across regulations? Compliance is assessed automatically against hundreds of regulations, and new ones are added regularly, so the program tracks the rulebook without a manual mapping exercise. Automated compliance →

Funktionen

Everything the business needs to know about its data, in its own terms and in one catalog

BigID finds the data, maps it to the business's own terms, and keeps the context that makes those terms useful. The same catalog then serves the platforms, people and agents that depend on it.

Build the governed catalog

Reach every data type, map it to your terms with AI, and keep the context around each object.

Govern any data, structured to unstructured

Metadata extraction works across platforms and at scale, so everything in the enterprise is cataloged, including the data AI depends on.

Explore data discovery and classification →

Unstructured data from files to email to chats to code
SaaS application data
Structured databases, warehouses and file formats such as Parquet
Data in motion, including Kafka and Kinesis
Specialized file formats, including binary and CAD
Technical metadata extracted from any platform, at scale
A core catalog that scales to billions of objects

A catalog with context beyond technical metadata

BigID stores metadata and the information around it, which gives analysts and AI agents the context to choose the right data and use it correctly.

Technical metadata from warehouses, SQL, Parquet and Avro
File labels, such as Microsoft and Google, and tags written into file metadata, harvested or written by BigID
Sensitive findings: pointers to IP, credentials, PII and PHI, with a secure way to review them
Operational metadata, including access permissions and actual access history
Age and freshness for retention and AI use cases
AI-generated inferences such as ownership, domain and provenance
Alternative data: duplicate and derivative copies
Enrichment of unstructured content for AI, including text chunking, vector embedding, and search

AI glossary mapping and enrichment

Mapping data to business terms is the foundation for every other governance operation. BigID does it with AI classification, across all data types, at the scale of the estate.

See how classification works →

Data mapped automatically to glossary definitions, with a recommended business term where none exists
Existing glossary terms brought in from another governance platform
Diverse glossary definitions pulled in from spreadsheets
AI that suggests and maintains the glossary based on how the data fits
An industry-specific ontology as the vocabulary
BigID AI that generates further inferred information, such as data ownership
Embedded AI assistants that help prioritize risks and recommend stewardship actions

Put the catalog to work

Share it with the platforms you run, open it to the people who need it, and give agents the context they should have.

Hydrate the catalogs and platforms you already run

BigID works alongside your governance stack. Every finding can be pushed to another catalog, and existing glossaries and business terms can be brought into BigID.

Every BigID finding pushed to the catalogs and governance platforms you use
Existing glossaries and business terms pushed into BigID
Atlan, Collibra, Alation and Databricks
Proprietary catalogs, through Metadata Exchange

Discovery and consumption for business users

Data and business users find the right data for the right purpose, from BigID or from the AI assistant they already use, with access following their identity and role.

Explore the secure AI-first architecture →

The data browser, for finding the right data for the right purpose
Advanced AI search and subscriptions, for finding data and alternative data
Business users finding and reporting what they need through Claude, Copilot and GPT
BigID security embedded, so access follows user identity and role
Findings loaded by ETL into data warehouses for advanced analytics and reporting

Catalog context and identity awareness for AI agents

Agents reach data through the identities they run under, so BigID applies the same identity and permission controls to them that it applies to people.

Explore data access governance →

An RBAC-controlled MCP server and tools for AI agents
Native agent discovery and identity awareness, to approve the agents that may connect
Native access permission control that restricts different agents to different context data
RBAC controls that set what groups of agents can reach, based on the roles assigned to them
Access to context data limited by approved intent, as defined in supporting context files such as MD

Compliance that runs on the catalog

Accurate business-term mapping and a complete catalog are what make compliance automatic. BigID assesses the estate against the regulations that apply and keeps the list current.

Explore privacy and compliance →

Compliance fully automated against hundreds of regulations
New regulations added regularly

Erfassungsbereich

The data types and platforms the catalog reaches

One catalog spans the storage and file formats an enterprise really runs, and exchanges business terms and findings with the governance tools around it.

Databases and warehouses

Structured sources and formats such as SQL, Parquet and Avro

Dateien

Documents and file stores, including binary and CAD formats

Email and chat

The conversations where business data is created and shared

Code

Repositories that hold credentials, IP and configuration

SaaS-Anwendungen

Business data held in the applications teams work in every day

Data in motion

Streams such as Kafka and Kinesis

File labels and tags

Microsoft and Google labels, harvested or written by BigID

Glossaries and ontologies

From another platform, from spreadsheets, or an industry ontology

Exchanges with Atlan Kollibra Alation Datenbausteine Proprietary catalogs via Metadata Exchange

Asked from Claude Kopilot GPT

Nachweisen

Classification accuracy confirmed in independent testing

Analyst and independent results

Führend im Forrester Wave™: Lösungen zur Ermittlung und Klassifizierung sensibler Daten, 2. Quartal 2026, with the highest possible score for enrichment for classification, tuning to improve accuracy, integrations and innovation
Won the Intuit data classification challenge against twenty vendors, at 96.5% weighted precision and recall on a synthetic dataset of more than 40,000 records
Recognized in the 2026 Gartner® Magic Quadrant™ for Data and Analytics Governance Platforms, with strengths noted in discovery and classification of unstructured content, AI risk management, and support for the full range of governance roles

Lesen Sie den Forrester Wave →

Vom Feld

“Wir mussten Prozesse und Datenmanagement systemübergreifend automatisieren… BigID war die einzige Lösung, die dies ermöglichte…”

Datenschutzbeauftragter, globales Telekommunikationsunternehmen

“BigID bietet mir einen besseren Überblick über sensible Daten, hilft bei der Priorisierung von Sicherheitsmaßnahmen und verringert die Angriffsfläche…”

CISO, globales Gesundheitsunternehmen

Häufig gestellte Fragen

Answers on catalogs, glossaries, and safe access for AI

We have a catalog already. Where does BigID fit?

Underneath it, as the source of business terms and context. BigID pushes every finding to Atlan, Collibra, Alation, Databricks or a proprietary catalog through Metadata Exchange, and brings your existing glossaries and business terms in. Your catalog and your stewardship workflow stay where they are, with AI glossary mapping and full coverage feeding them.

Will it follow our glossary and our terms?

It starts from your vocabulary. BigID maps data to your glossary definitions, whether they come from another governance platform, a spreadsheet or an industry ontology. Where no term fits, it recommends a business term, and it suggests and maintains the glossary based on how the data fits.

How do business users and AI assistants use the catalog safely?

Through the identity they run under. Claude, Copilot and GPT reach BigID over an RBAC-controlled MCP, so each person sees what their role allows. Approved agents are recognized natively, limited to the context data their roles call for, and held to the intent defined in their context files.

What is data governance automation?

It replaces manual stewardship with AI that does the repetitive work. BigID extracts metadata from structured, unstructured, and AI data, maps it to your business glossary, keeps context such as sensitivity, access, and ownership in one data catalog, and assesses compliance automatically, so stewards review exceptions instead of mapping columns by hand. It builds on Entdeckung und Klassifizierung von Daten and reaches files, email, and chat through unstructured data management.

How does data governance automation prepare our data for AI?

Assistants and agents work from data that is classified, mapped to business terms, and governed by identity. BigID gives them catalog context through an RBAC-controlled MCP, limited by identity, role, and approved intent, and the same classified inventory supports KI-Governance und Bereitschaft für KI-Assistenten.

Which teams use BigID for data governance?

Everyone involved in governance works in the same catalog. BigID includes ready-made experiences for data stewards, line of business leaders, AI and ML teams, privacy officers, and compliance and legal teams, so governance does not split into a separate tool for each role. Gartner pointed to this breadth of persona support in its 2026 Magic Quadrant for Data and Analytics Governance Platforms, and it is part of why the same catalog serves Datenschutz und KI-Governance teams as well as stewards.

Ressourcen

Go deeper on data governance automation

Whitepaper / Hier starten

The Agentic Advantage: Redefining Metadata Management with AI

Why a metadata foundation matters for analytics and AI, and how AI takes over the discovery, business-friendly naming, glossary mapping, and semantic search that stewards used to do by hand.

Whitepaper anfordern →

Whitepaper Context Engineering for AI How enriching data with sensitivity, ownership, and freshness context, and delivering it to agents over MCP, makes enterprise AI safe to rely on. Whitepaper anfordern → Whitepaper Data Governance for Unstructured AI Data Why trustworthy AI depends on governing the documents, email, chat, and code that feed it, from taxonomy mapping and classification through curation, compliance validation, and access control. Whitepaper anfordern → Lösungsübersicht AskBigID GPT Business users ask about the whole data estate in plain language from Claude, Copilot, or ChatGPT, with access following their identity and role. Lesen Sie die Kurzfassung →

Start with a glossary mapping and catalog assessment

Bring your glossary and a few of the sources you want governed. We will map them to your terms with AI on your own data, show the catalog that results, and show how it reaches the catalogs and assistants you already use.

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