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Solutions Hub: BigID AgentIQ

AgentIQ runs your data and AI security program from a single request

The Agentic Automation Layer for Data & AI Security and Compliance

Run your data and AI program from a prompt or an agent, in BigID, Claude, Copilot, GPT and Gemini. Agents you buy, build or bring ask the questions, investigate the risk, take the action, and keep the work running, on top of everything BigID already knows about your data and AI.

See AgentIQ on your own estate ▶Watch it work Take a tour
Where it runs
Any agent, all of BigID
Inside BigID, or from Claude, Copilot, GPT, Gemini, and your own enterprise agents
What it reaches
200+ integrations
On-prem, cloud, SaaS and API sources, covering data at rest, in motion, and in use
What it changes
Automate your data security program
Ask, investigate, decide, act, and keep it running, from a single request
Agents are becoming the new interface to enterprise software

Your program moves at the speed of a request

The way people use software is changing: from navigating applications, to directing agents, to simply asking for outcomes. The application becomes the intelligence and action layer underneath. AgentIQ is that layer for data and AI security, compliance and privacy, which lets agents act on BigID as well as read from it. The layer builds on context engineering, access governance, and AI governance.

Scale the program past your headcount

Agents carry the work from finding to fixed, continuously. The reviews, remediations and reports that used to wait on a person now run on a request, which is what lifts the ceiling on how much program one team can operate.

Answers grounded in your real data estate

BigID gives the agent the context that makes the answer right: what the data is, who can reach it, what happened to it, and which policies apply. That is the difference between a fluent answer and a correct one.

BigID shows up where your teams already work

The same capability reaches people through Claude, Copilot, GPT and Gemini, or through the AgentIQ interface inside BigID. Teams adopt it in the tool they already have open, with no new console and no analyst needed to run a query.

See it operate

Watch it work

BigID AgentIQ Demo: Investigate & Remediate Data Access Risk

AgentIQ working a data access risk end to end: investigating who can reach sensitive data, deciding what matters, and remediating it.

Demo
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Prefer to click through it yourself?

Ask AgentIQ who can reach sensitive data, then notify, open a ticket, or revoke access from the risk graph.

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Context, actions, guardrails, and an open architecture, working together

MCP made BigID accessible to AI. AgentIQ makes BigID operable by AI. Context, actions, guardrails, and an open architecture have to work together, and BigID brings all of them together: the context behind the finding, capabilities exposed as actions an agent can call, guardrails inherited from the person asking, and an open architecture that keeps working as the agent landscape moves.

ContextThe full picture around every finding. BigID's catalog of findings plus the surrounding context: operational, activity, technical, and inferred. An agent is only as good as the context it is given.

ActionsBroad action coverage. Full-surface APIs, product MCP, and tools put discovery, classification, investigation, remediation, and governance within an agent's reach.

GuardrailsAgents inherit your permissions. API and MCP security bounds what any user can see or do through Claude or Copilot to exactly what they can see or do in BigID, with every action logged.

OpenOpen architecture. No lock-in to one vendor's agent, one model, or one interface. As the agent landscape shifts, BigID stays the layer underneath.

Where the request is made AgentIQ in BigID Claude Copilot GPT Gemini Your own agents any surface, one layer The layer, not the destination AgentIQ agentic automation over BigID Tools, not just reads retrieve, report, respond, remediate Agents pre-built by BigID, built by you, or brought with you Secure MCP and API every function reachable, RBAC on each service Guardrails, enforced in the stack the requesting user's permissions, enforced at the API and MCP layer every action logged and attributable to a person context down, action out BigID data and AI intelligence the context an agent cannot infer on its own Data and AI inventory sensitive data, models, agents, pipelines Access and activity who can reach it, and who did Policy and lineage what the rules say, and where it flows 200+ integrations across on-prem, cloud, SaaS and API, covering data at rest, in motion, and in use
Start here

Where teams start with AgentIQ

How do we get a report nobody has built a dashboard for yet? Describe it in plain language, point in time or scheduled, against metadata, scan findings and activity. AgentIQ builds the report, infers what the numbers mean, and returns it in the format the audience needs. Reporting → How does a finding get fixed? It acts: revoke access, remediate exposure, apply retention, quarantine, enforce policy, fulfil a request. Pre-built BigID agents and your own run the workflow end to end, autonomously and continuously. Operationalize → How quickly can we get the impact radius of an incident? Ask for the impact radius and AgentIQ works out which data and which identities were reached, infers the data flows around them, and examines the exposure, on the estate BigID has already scanned. Investigate → How does this work with the DLP and governance tools we already run? Nothing gets retired. AgentIQ simplifies the interaction with them: DLP handled through one prioritized queue, data harmonized with your governance platforms, and interactions with other agentic platforms managed rather than duplicated. Integrate → How do our teams get this inside the tools they already use? AgentIQ delivers BigID inside Claude, Copilot, GPT, Gemini, and custom enterprise agents, with no BigID UI required, and there is an AgentIQ interface inside BigID for teams who prefer one place. Buy, build, bring → How is an agent limited to what the person asking can reach? Agents inherit the requesting user's permissions, enforced at the API and MCP layer, reach data through the identities associated with them, and every action is logged and attributable to a person. Guardrails →
Capabilities

From the first report to the finished fix, driven by a request

AgentIQ covers reporting, day to day operations, investigations, and integration with the tools you already run, along with the ways to get agents running and the controls that govern them. The action surface grows as BigID adds capabilities.

Ask a question, and get the report built for it

Describe the report you need and get it back, built for the question rather than for a dashboard. AgentIQ reasons over the findings to infer what they mean, and delivers in whatever format the audience asking needs.

  • Describe a point in time or scheduled report in natural language, against metadata, scan findings, and activity
  • Ask questions about the data and AI landscape across cloud, SaaS, on-prem, databases, and files
  • Infer new insight from the findings using AI, rather than returning a longer list
  • Craft creative multi-format reports, shaped for the audience asking
  • Execute simplified ETL and data normalization as part of the request
  • Assess risk ranked by sensitivity, exposure, activity, and business context
  • Consult and reason with your model of choice on regulatory compliance, security frameworks, and industry best practice
  • Reporting by persona without waiting on a dashboard build

Operationalize security, compliance, and privacy

The part that moves the backlog. Agents carry a workflow from detection through review to the action itself, and keep carrying it, so the throughput of the program stops tracking the size of the team.

  • Leverage pre-built BigID agents to operationalize an end to end workflow
  • Four agents at launch: Remediate Sensitive Data, AI Governance Enforcement, Access Exposure Analysis, and Privacy Operations
  • Add your own agents into the same workflow
  • Automate remediation review and the action that follows it
  • Act on findings: revoke access, remediate exposure, apply retention, quarantine, enforce policy, fulfil requests
  • Lights-out detection and response, running autonomously and continuously
  • Fulfil a data subject request across every system that holds the person's data
  • Surface the work where teams already watch it, including Teams and Slack

Investigate breaches and exposure against your own estate

An investigation is where a fast answer is worth the most. AgentIQ works the question against everything BigID has already discovered, classified and mapped, so the impact radius comes back from evidence in your own estate.

  • Review a breach and determine the impact radius across data and access
  • Infer data flows through systems that were never mapped
  • Examine breaches and exposures: what is reachable, by whom, and from where
  • Investigate data and access violations and identify who and what was impacted
  • Find sensitive data exposed to the internet and rank it by business risk
  • Identify which AI systems touch regulated data, sanctioned and shadow alike
  • Find excessive and stale access to sensitive data, then remove it
  • Flag policy violations before an audit surfaces them

Cross-platform integration and data harmonization

AgentIQ makes the tools you already run work together on one set of definitions, harmonizing DLP, data governance and other agentic platforms, which is usually what turns a finding into a fix.

  • Simplify interactions with the DLP tools you already run
  • Harmonize data with your data governance platforms
  • Manage interactions with other agentic platforms rather than duplicating them
  • 200+ integrations across on-prem, cloud, SaaS, and API data sources
  • Coverage of data at rest, in motion, and in use
  • Normalization and ETL handled inside the request, not as a separate project

Buy, build, or bring the agents

Adopt it whichever way suits the team. Deploy BigID's agents as they are, build your own on the same action surface, or point the agents you already run at BigID through the secure MCP. One agent or many, one BigID underneath. AgentIQ is generally available.

  • Buy: deploy BigID's agents in minutes, with no agent engineering
  • Build: your own agents on the AgentIQ platform and action surface, wired to your workflows and policies
  • Bring: agents from Claude, Copilot, GPT, and Gemini, working directly with BigID over the secure MCP
  • Custom enterprise agents and internal AI platforms are first-class surfaces
  • The AgentIQ interface inside BigID, for teams who want it in one place
  • No new interface to adopt, and no security analyst required to run a query
  • Tools on the MCP surface are extensible by customers and partners

Guardrails, enforced in the stack

Agents inherit your permissions, enforced at the API and MCP layer, so what a person can do through Claude or Copilot is exactly what they can do in BigID. Every action is attributable, which is what makes autonomous work reviewable as well as fast.

  • Agents inherit the requesting user's permissions, enforced at the API and MCP layer rather than in a system prompt
  • Every agent action is logged and attributable to a person
  • Fine grained RBAC on every API and MCP service
  • Agents reach data through the identities associated with them, never directly
  • Password vaulting for the credentials an agent operates with
  • Bring your own keys
  • Telemetry across agent activity
  • Air-gap support, so agentic operation is available in a sovereign deployment
  • No lock-in to one vendor's agent, one model, or one interface
Proof

The intelligence agents act on, scored independently

Analyst recognition

  • A Leader in The Forrester Wave™: Sensitive Data Discovery And Classification Solutions, Q2 2026, with the highest possible score for secure-by-design commitments
  • Ranked #1 in data classification by Intuit, across 20 vendors, at 96.5% weighted precision and recall
  • 2025 Company of the Year for AI Governance, Frost & Sullivan
  • Named in Gartner's 2025 AI TRiSM Market Guide
Read the Forrester Wave →

From the field

“BigID gives me better visibility into sensitive data, helps prioritize security protections, reduces attack surfaces, strengthens compliance, and increases operational efficiency overall, a strategic pillar of our AI-First Cybersecurity Transformation.”

CISO, Global Healthcare Company

FAQ

What security and privacy leaders ask first

How does an agent get answers right about our most sensitive data?

The context underneath it. AgentIQ reasons over what BigID has already discovered, classified, and mapped: the data and AI inventory, who can reach what, the activity against it, and the policies that apply. Risk is ranked on sensitivity, exposure, activity, and business context rather than on the model's impression of the file name.

Are we betting our security program on one model vendor?

No, and the architecture is the reason. BigID built the layer rather than the destination, so whatever agent, model, or surface you standardize on, BigID is the intelligence and action layer underneath it. Claude, Copilot, GPT, Gemini, custom enterprise agents, and the AgentIQ interface inside BigID all reach the same capability, and there is no lock-in to one vendor's agent, one model, or one interface.

Who is accountable when an agent takes an action?

A named person, on the record. Agents inherit the requesting user's permissions, enforced at the API and MCP layer rather than asked for in a system prompt, and they reach data through the identities associated with them rather than directly. Every action is logged and attributable, so a remediation an agent carried out overnight reads the same way in an audit as one a person clicked.

What is AgentIQ?

AgentIQ is BigID's agentic automation layer for data and AI security, compliance, and privacy. It lets people and agents run the program from a request: ask a question, investigate a risk, decide what matters, and take the action, in BigID or from Claude, Copilot, GPT, and Gemini. It runs on the discovery and classification BigID already holds, so answers rest on your real estate. Read more about the supporting layer in context engineering.

What can I ask AgentIQ to do?

The work of the program, from reports to remediation. Typical requests include building a report nobody has built a dashboard for, working out the impact radius of an incident, finding and revoking excessive access, fulfilling a data subject request, and enforcing AI governance policy. Pre-built agents handle remediation of sensitive data, AI governance enforcement, access exposure analysis, and privacy operations, and you can add your own. See access governance and AI governance for the controls it runs on.

How does AgentIQ relate to the BigID MCP server?

The MCP server makes BigID accessible to AI, and AgentIQ makes it operable by AI. The secure MCP layer gives agents governed context and callable actions with role-based access control and an audit record, and AgentIQ builds the workflows, pre-built agents, and interface on top of it. Together they let the agents your teams already use work with BigID directly.

Resources

The full case, the architecture underneath, and the independent scoring

Executive brief / start here
Automate Your Data & AI Program with AgentIQ

The case in full: how agents you buy, build or bring take a single request through to the action and the audit record, what they can reach, and the controls that bound them.

Read the brief →
Solution brief The BigID MCP Server for AI The layer AgentIQ is built on: how agents get governed data context instead of raw data, with token based authentication, RBAC, scoped policies, and an audit record of every interaction. Read the brief → Analyst evaluation A Leader in The Forrester Wave™ Sensitive Data Discovery And Classification Solutions, Q2 2026, with the highest possible 5 out of 5 on secure-by-design commitments. The intelligence AgentIQ reasons over, scored independently. See the scoring → Guide Data Security in the Age of AI DSPM, AI SPM, and the case for a unified approach: why posture across the data and the models, agents and pipelines that reach it belongs on one platform rather than two. Read the guide →

Pick one thing off your list. We will run it from a prompt.

A report you need next week, an access review, a shadow AI inventory. Bring it to the walkthrough and we will run it live, in BigID or in the assistant your team already works in, and you will see the actions and the audit trail it leaves behind.

See AgentIQ on your own estate Get a free risk assessment

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