Solutions Hub: AI Assistant Readiness

Get your data ready for AI assistants

See what Copilot, Gemini, ChatGPT Enterprise and Claude would surface before rollout, and keep them scoped after go-live.

An assistant answers with whatever each user can already open. BigID maps that reach, fixes the oversharing and unlabeled sensitive data inside it, and gives security the evidence to sign off the rollout.

See what your assistant can reach Get a readiness assessment

Before rollout

What each assistant can reach, by user

Broad links, external shares, stale guests and unlabeled sensitive files, mapped to the people who can open them

Through go-live

Oversharing fixed at the source

Access right-sized, labels synced to Microsoft Purview, stale data disposed, and exclusions set for what stays off-limits

After launch

The assistant kept in scope

New shares, new sensitive data and new agents caught as they appear, with activity tracked for people and agents alike

Where AI assistant rollouts are now

An assistant is as well scoped as the access underneath it

Copilot, Gemini, ChatGPT Enterprise and Claude retrieve through each user's existing permissions, so years of broad sharing, inherited access and unlabeled sensitive files become answerable in a sentence. The rollout is usually already on the calendar, and several teams have a stake in it. BigID runs readiness as one project from one view of sensitivity, access, identity and AI assets, so each of them works from the same findings.

For IT and the Microsoft 365 or Workspace team

A rollout that moves in phases. Readiness by site, department and data type shows where the assistant can go live now, so licenses reach users while remediation continues behind them.

For security

Evidence to sign off, and controls after. What each assistant can reach, what was fixed at the source, and the monitoring that keeps reach small once everyone is switched on.

For privacy and AI governance

Assessments grounded in the real data. AI and privacy assessments per use case, exclusions for the material that stays out of answers, and the agents built on each assistant inventoried.

Véalo funcionar

Observa cómo funciona.

Demostración de control de acceso granular de BigID: revise los permisos y reduzca la exposición de datos.

Reviewing who can reach sensitive files, down to the individual permission, then tightening access before an assistant can surface it.

ManifestaciónVer en YouTube ↗

En este centro

Empieza aquí

What security teams need answered before an assistant goes live

What would the assistant return if someone asked for salaries, deal plans or customer records? BigID classifies the sensitive data in every source the assistant indexes and maps who can reach each file, so you can see, by user and team, what a prompt could surface before anyone types one. Exposure assessment → Which files are shared with everyone, externally, or through links nobody remembers? Org-wide and public links, external shares, stale guests and inherited or orphaned permissions are found and ranked by the sensitivity of what they open. Exposure assessment → Which sensitive files carry no label, or the wrong one? BigID applies sensitivity labels grounded in classification and syncs them into Microsoft Purview Information Protection, so Purview DLP policies can keep the assistant from summarizing or reusing labeled content. Remediation and labels → What should stay off-limits to the assistant whatever the permissions say? Legal holds, investigations, M&A and board material are identified and excluded through labels and policy, so they stay out of answers even for users who can open them. AI exclusions → Which agents and connectors have been built on the assistant, and what do they reach? BigID discovers the AI assets in use, sanctioned and shadow, with the identity each runs under, and maps what every agent can actually reach against what it is meant to reach. Assistant and agent governance → How do we know the assistant stays scoped after go-live? Access activity is monitored for people and agents, unusual behavior is flagged, and new broad shares or new sensitive data are caught and closed as they appear. Post-rollout monitoring → What do we show the steering committee at go/no-go? A readiness view by site, department and data type shows where the assistant can go live now, what was fixed, and what remains, with the evidence behind each decision. Readiness reporting →

The rollout already on the calendar, with BigID at every stage

Readiness work runs alongside the rollout plan. Exposure is measured at assessment and brought down before the pilot, the pilot tests what real users can retrieve, and after go-live the same controls keep reach small as data and access keep changing.

By assistant

Ready for every assistant the business adopts

Each assistant reaches data through its own connectors, and all of them respect the permissions underneath. Fixing access, labels and stale data at the source readies the estate for every one of them, and BigID assesses each assistant's reach on the same findings.

Copiloto de Microsoft 365

Microsoft Graph: SharePoint, OneDrive, Exchange, Teams, plus Copilot connectors and Copilot Studio agents

Oversharing and broad links found across SharePoint and OneDrive
Labels synced into Purview Information Protection for Purview DLP to enforce
Sources behind third-party connectors assessed too

Gemini for Google Workspace

Drive, shared drives, Gmail, Docs, Sheets and Slides, through Workspace sharing

"Anyone with the link" and domain-wide sharing found and closed
Sensitive files in shared drives classified and ranked
Access activity on Drive monitored after go-live

ChatGPT Enterprise

Connectors to sources such as SharePoint, Google Drive, Box and Dropbox, plus uploaded files and custom GPTs

Every source behind an enabled connector assessed for exposure
Sensitive data kept out of files and knowledge that users upload
Custom GPTs inventoried with the data they draw on

Claude

Connectors and MCP servers to sources such as Google Drive, Microsoft 365 and Slack, plus project knowledge

Sources behind each connector and MCP server assessed for exposure
Project knowledge checked for sensitive content before it is shared
BigID itself operated from Claude over MCP, for reports and remediation

Capacidades

Everything the readiness project needs, from first assessment to steady state

Assistant readiness draws on access governance, data security posture, lifecycle management and AI governance. BigID runs them as one project on one set of findings, so what the assessment finds is what remediation fixes and what monitoring keeps fixed. Each group links to the hub with the full detail.

Oversharing and exposure assessment

Start with what a prompt could return. BigID compares actual access with intended access across every source an assistant can index, classifies the sensitive data inside, and shows where the two overlap, by user, team and department.

See the access governance hub →

Actual against intended access, mapped across every source an assistant indexes
Org-wide and public links, external shares, stale guests and inherited permissions found
Sensitive data in reach classified with 2,000+ pretrained classifiers, starting with unstructured files
Deal, board and HR material found by describing it in plain language
Exposure ranked by sensitivity and by how many people can open it

Permission, label and data remediation

Fix exposure where the data lives, so every assistant inherits the cleanup, and exclude the material that should never appear in an answer.

See the DSPM hub →

Broad links and external shares revoked, and access right-sized in bulk or file by file
Access reviews delegated to data owners, with each attestation recorded
Sensitivity labels applied from classification and synced into Microsoft Purview
AI exclusions for legal holds, investigations and M&A, whatever the permissions
Redundant, obsolete and trivial data disposed of, so there is less to search and surface

Assistant, connector and agent governance

An assistant arrives with connectors, and soon with agents built on top of it. BigID inventories them with the identity each runs under and maps what each can reach.

See the AI governance hub →

Assistants and models in use discovered, sanctioned and shadow
Agents and connectors built on each assistant inventoried, with the identity each runs under
What each agent can reach mapped against what its function requires
AI-generated content classified, with retention and access matching its sources
AI and privacy assessments per use case, aligned to the EU AI Act and the NIST AI RMF

Post-rollout monitoring and response

Data and access keep changing after go-live. BigID replaces the one-time cleanup with continuous controls for people and agents.

Access activity monitored across the sources an assistant reads
Unusual behavior flagged for users and for agents
New broad shares, sensitive files and agents checked against policy as they appear
Access revoked dynamically, without waiting for the next review
Agents that investigate an exposure and remediate it, from BigID or from the assistant itself

Readiness reporting for the go/no-go

The rollout needs a sign-off, and the board will ask how it is governed. BigID shows where the assistant can go live now and the evidence behind each decision.

Readiness by site, department and data type
Exposure trends from assessment through steady state, for the steering committee and the board
Evidence for auditors: what was reachable, what changed, and who approved it
Reports asked for in natural language, from BigID or over MCP

Cobertura

Every source an assistant can index

An assistant's reach is the sum of its connectors. BigID covers the sources they draw on, across Microsoft, Google, collaboration apps, file shares, cloud and the AI data stores behind retrieval.

Microsoft 365

SharePoint, OneDrive, Exchange and Teams, with labels synced to Microsoft Purview

Espacio de trabajo de Google

Drive and shared drives, with sharing and access activity, for Gemini

Content platforms

Box and Dropbox, with sharing, permissions and activity

Chat

Slack and Teams messages and files discovered and classified. Review and remediation coming soon

Knowledge and business apps

Confluence, Jira, Salesforce, ServiceNow and the other SaaS apps assistants connect to

File shares and cloud storage

SMB, NFS and CIFS shares, S3 and data lakes

Warehouses and lakehouses

Snowflake, Databricks and BigQuery

almacenes de datos de IA

Vector databases, embeddings and RAG indexes

Prueba

Recognized for the discovery and access governance a rollout runs on

Reconocimiento de analistas

A Leader in The Forrester Wave™: Sensitive Data Discovery And Classification Solutions, Q2 2026, with the highest possible score in eleven criteria
Ranked #1 in data classification by Intuit, across 20 vendors, at 96.5% weighted precision and recall
A Leader across four GigaOm evaluations, including Data Access Governance and DSPM
Empresa del año 2025 en gobernanza de IA, Frost & Sullivan

Read the Forrester Wave → Read about the Intuit challenge →

Desde el campo

“BigID gives me better visibility into sensitive data, helps prioritize security protections, reduces attack surfaces…”

CISO, empresa global de atención médica

“We needed to automate processes and data management across systems… BigID was the one solution that did this…”

Director de Privacidad, Compañía Global de Telecomunicaciones

Antes de comprometerte

What CISOs ask before signing off the rollout

We already run Microsoft Purview. What does BigID add?

BigID works with Purview and extends its reach. Discovery and classification cover the sources beyond Microsoft 365 that an assistant also draws on, labels sync into Purview Information Protection so Purview policies enforce them, access and activity context sits beside every finding, and enriched signals flow into Purview DSPM.

We are rolling out more than one assistant. Do we repeat this for each?

The core work is done once. Every assistant retrieves through the same permissions, so fixing access, labels and stale data at the source readies the estate for all of them. Each assistant's connectors add sources, and BigID assesses readiness per assistant on the same findings.

Our go-live date is fixed. Where do we start?

With the sites and departments that carry the most sensitive data. The readiness view shows where the assistant can go live now and where remediation comes first, so the rollout can proceed in phases while exposure is brought down behind it.

Llévalo más lejos

The checkpoints, checklists and guides behind a ready rollout

Playbook / start here

The Copilot Access-Risk Playbook

The pre-launch checkpoints for an AI assistant rollout, from mapping actual access to continuous controls, and the questions to answer before enablement.

Read the playbook →

Lista de control The AI Data Readiness Checklist A working checklist for security, privacy and data leaders, ordered from discovery through policy enforcement, including non-human identities. Read the checklist → Guía How to Secure Microsoft Copilot Data inventory, labeling, access control and minimization across OneDrive, SharePoint, Outlook and Teams before Copilot goes live. Lee la guía → Libro blanco The New Standard for Data Access Governance: Reimagined for the Age of AI Fine-grained access governance for employees and AI agents, from permission review to activity monitoring and revocation. Lea el informe técnico →

Start with an AI assistant readiness assessment

Bring your rollout date and a department or set of sites. We will map the sensitive data and who can reach it on your own estate, and show what to fix before the assistant goes live.

See what your assistant can reach Get a readiness assessment