BigID Debuts AgentIQ for Agent-Run Data Security and Compliance

BigID on September 21, 2026 announced the launch of AgentIQ, an agentic automation interface that lets customers operate their data security and compliance programs from a prompt or an AI agent, either inside BigID or directly from Claude, Copilot, GPT, or Gemini.

What AgentIQ Does

The release describes AgentIQ as a fully agentic automation interface to BigID. Customers can write custom prompts or use pre-built BigID agents to retrieve, report, respond, or remediate data and AI security and compliance violations, and BigID says running a query requires neither a new interface nor a security analyst. Custom enterprise agents and internal AI platforms are supported surfaces alongside BigID itself.

BigID groups the product’s functions under a set of operating labels. Ask handles questions about the data and AI landscape, spanning cloud, SaaS, on-premises systems, databases, and files, with custom reporting returned. Investigate works data and access violations to determine who and what was impacted. Consult and Reason lets customers work with their model of choice on regulatory compliance, security frameworks, and industry best practices. Assess Risk ranks findings by sensitivity, exposure, activity, and business context. Act executes the response: revoking access, remediating exposure, applying retention, quarantining, enforcing policy, and fulfilling requests. Automate puts remediation on an autonomous, continuous footing using BigID’s agents or the customer’s own.

“Every data & AI program is capped by how many people you can put on it. AgentIQ removes the cap,” said Dimitri Sirota, BigID’s CEO and co-founder. He said the approach depends on context, arguing that an agent without deep data context will return confident but wrong answers about an organization’s most sensitive data.

Pre-Built Agents, Workflows, and Integrations

According to BigID’s AgentIQ product page, four pre-built agents ship at launch: Remediate Sensitive Data, AI Governance Enforcement, Access Exposure Analysis, and Privacy Operations. On the same page, BigID describes itself as the first data security platform built to be operated by agents rather than only read by them.

BigID lists example jobs AgentIQ carries end to end from a single request. In one, the agent locates internet-exposed sensitive data, ranks it by business risk, and, on approval, revokes public access for the ten highest-ranked items, logging every action. A second covers sanctioned and shadow AI systems touching regulated data, mapping the data each system consumes and flagging policy violations. A third reviews permissions across systems, identifies excessive and stale access to customer PII, and removes it. A fourth carries a data subject request through fulfillment across every system where the person’s data lives.

Reporting starts from a natural-language description of a point-in-time or scheduled report, run against metadata, scan findings, and activity, with output formatted for the audience asking. Investigation functions include working out a breach’s impact radius across data and access, inferring data flows through systems that were never mapped, and examining which data is exposed, who can reach it, and from where.

BigID says AgentIQ works with the DLP and data governance tools customers already run rather than replacing them, with DLP findings handled through a single prioritized queue and coordination with other agentic platforms managed in one place instead of duplicated. Work can be surfaced inside Teams and Slack. The platform spans BigID’s more than 200 integrations across on-premises, cloud, SaaS, and API data sources, covering data at rest, in motion, and in use.

Buy, Build, or Bring Deployment

Deployment follows what BigID calls a buy, build, or bring model. BigID says its pre-built agents deploy in minutes with no agent engineering. Customers can also build their own agents on the AgentIQ platform and action surface, wired to their workflows and policies, or bring agents from outside AI platforms and have them work directly with BigID through the company’s secure MCP. Tools on the MCP surface are extensible by customers and partners.

Nimrod Vax, BigID’s head of product and co-founder, said customers told the company they did not want another console and did not want to bet their security program on a single model. “So we built the layer, not the destination,” he said. The announcement states there is no lock-in to one vendor’s agent, one model, or one interface.

Guardrails and Enterprise Controls

Agent permissions mirror those of the requesting user, enforced at the API and MCP layer instead of being requested in a system prompt. Data access runs through the identity attached to each agent rather than through the agent directly, and every action an agent takes is logged and tied to an accountable person. Enterprise controls include fine-grained RBAC on every API and MCP service, password vaulting for the credentials an agent operates with, bring-your-own-keys, and telemetry across agent activity. Air-gap support makes agentic operation available in a sovereign deployment.

AgentIQ is generally available, according to BigID’s product page.