Your AI can write a security policy. Can it enforce one?
Can it find sensitive data exposed to the wrong people, investigate who’s using it, and revoke access? Can it identify which AI systems are consuming regulated data and act on a policy violation? Can it fulfill a privacy request across the systems where that person’s records live?
With BigID AgentIQ, it can.
AgentIQ brings agentic automation to your data and AI security program. Run it inside BigID or through Claude, Copilot, ChatGPT, Gemini, and your own enterprise agents. Describe what you need done, and an agent can investigate, prioritize, report, and take action, with permissions and approvals enforced throughout.
Put your AI to work on your security program
Security teams have plenty of findings. They have considerably less time to investigate and fix them.
An access review means pulling permissions, checking activity, identifying owners, and deciding what to revoke. An AI governance review means finding the systems, tracing the data they consume, and checking it against policy. Each step adds work to a team that already has a backlog.
AgentIQ lets teams run those workflows from a request:
- Find exposed sensitive data, prioritize the risk, and remediate approved findings.
- Investigate excessive or stale access and remove it through an approval workflow.
- Identify sanctioned and shadow AI, map the data it consumes, and flag policy violations.
- Build a report for the board, an evidence pack for an auditor, or a recurring update for the security team.
Use a pre-built agent, build your own, or bring the assistant you already work in. You get BigID’s discovery, classification, access intelligence, and remediation capabilities through the interface you choose.
Reading findings was the beginning
MCP gave agents a way to connect to BigID. AgentIQ extends that connection across the work itself: investigation, decisions, actions, and ongoing automation.
Making that useful in a security program takes more than connecting a model to an API.
The context to make a sound decision.
“This file contains customer PII” tells you what’s in it. Whether it’s exposed, who can reach it, how it’s being used, and whether it should still exist determine what to do next.
BigID brings those signals together across data, identity, access, activity, and business context. Agents can use that intelligence to investigate risk and choose an appropriate action.
The ability to act.
AgentIQ gives agents access to BigID’s operational capabilities through APIs, MCP, and tools: discover, classify, investigate, remediate, govern, and fulfill. A finding can move through investigation and remediation within the same workflow.
Controls security teams can enforce.
Agents operate under the requesting user’s permissions, enforced at the API and MCP layer. Actions are logged and attributable. Revoking access, quarantining data, and deleting records can require human approval. Teams decide which workflows can run autonomously and which need review.
Freedom to choose your AI.
Your organization may use Copilot for productivity, Claude for analysis, and custom agents for internal operations. AgentIQ makes BigID available across those environments, so your security program can work wherever your AI strategy takes you.
Buy, build, or bring
Most teams will do all three.
Buy: Start with BigID agents.
Pre-built agents cover sensitive data remediation, AI governance enforcement, access exposure analysis, and privacy operations. Put them to work without starting an agent engineering project.
Build: Make it specific to your business.
Create agents around your policies, approval requirements, and workflows, using BigID’s data intelligence and actions underneath.
Bring: Use the AI you already have.
Connect Claude, ChatGPT, Copilot, Gemini, or your enterprise agents through BigID’s secure MCP. Give them the ability to operate BigID from the interfaces your teams already use.
Start with the work that keeps getting pushed
The access review nobody has time for.
Investigate permissions across systems, identify excessive and stale access, and route removal for approval.
The AI inventory leadership keeps requesting.
Discover sanctioned and shadow AI, map the data each system consumes, and evaluate it against policy.
The incident investigation that spans six systems.
Investigate affected data and access together: what was exposed, who could reach it, and what activity occurred.
The report that takes a week to assemble.
Describe what you need. AgentIQ draws on metadata, scan findings, and activity to produce reports for different audiences, on demand or on a schedule.
The remediation backlog that never gets smaller.
Run detection, prioritization, review, and remediation as a workflow. Automate routine work under the policies and approval requirements your team sets.
Your program has more work than people. Change how the work gets done.
BigID spent years building the foundation: discovery and classification across enterprise data, intelligence about who and what can access it, and controls to reduce the risk.
AgentIQ puts that foundation to work through agents, across more than 200 integrations spanning on-prem, cloud, SaaS, and API sources.
Bring the access review. The AI governance question. The remediation backlog.
Let’s put AgentIQ to work on it.