BigID announces the official launch of AgentIQ, an agentic automation interface built to run data security and compliance programs autonomously. This interface helps enterprises to operate their security workflows via a simple natural language prompt or AI agent interface and works natively in BigID or third-party systems like Claude, Microsoft Copilot, OpenAI’s ChatGPT, and Google Gemini.
Through AgentIQ, enterprises can create custom prompts or use pre-built BigID agents to retrieve intelligence, generate reports, conduct risk investigation, and fix data and AI compliance violations in their entire digital ecosystem.
End-to-End Execution via a Single Prompt
The agentic interface is designed to help enterprises manage their DSPM and AI governance process easily through end-to-end execution using agentic workflow controls that go from the discovery of issues to their remediation.
Cross-Environment Data Discovery: Conduct cross-environment data and AI discovery on your cloud infrastructure, SaaS systems, on-premises infrastructure, database management systems, and file systems for real-time reporting.
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Data Breach Investigation: Perform immediate analysis of data breaches and violations of exposure to identify the specific scope of impact.
Contextual Reasoning: Consult and engage in reasoning using selected AI models based on industry standards, regulations, and corporate security policies.
Risk Prioritization: Prioritize the risks associated with data dynamically based on their sensitivity, exposure, usage, and context.
Enforced Remedy: Perform immediate remedy, such as revocation of access rights, policy enforcement for data retention, file quarantining, etc.
Autonomous Remediation: Implement continuous autonomous automation of data remediation either using native BigID agents or custom automation frameworks.
“Every data & AI program is capped by how many people you can put on it. AgentIQ removes the cap,” said Dimitri Sirota, CEO and Co-founder of BigID. “You describe the outcome you want and the program delivers it: find the risk, decide what matters, act on it, prove it happened. The reason it works on BigID is context. An agent without deep data context will give you confident, wrong answers about your most sensitive data.”
“Customers were clear on two points: nobody wants another console, and nobody wants to bet their security program on a single model,” said Nimrod Vax, Head of Product and Co-founder of BigID. “So we built the layer, not the destination. Whatever agent, model, or surface a customer standardizes on, BigID is the intelligence and action layer underneath it.”
Decoupling Security Operations from Dedicated Consoles
While accessible directly within the BigID platform, AgentIQ delivers data intelligence wherever security, privacy, and IT teams already work. The platform eliminates the need to adopt new standalone interfaces or require a dedicated security analyst to run complex queries across:
Major foundation AI platforms: Claude, ChatGPT, Google Gemini, and Microsoft Copilot.
Internal enterprise platforms and custom AI agents.
Native BigID interfaces.
Flexible Architecture: Buy, Build, or Bring
AgentIQ offers three distinct deployment models to fit diverse enterprise AI strategies:
Buy: Deploy out-of-the-box BigID agents in minutes without requiring custom agent engineering.
Build: Develop custom agents on the AgentIQ platform, connected directly to enterprise workflows, risk thresholds, and governance policies.
Bring: Integrate existing agents from popular commercial AI platforms to interact directly with BigID via a secure Model Context Protocol (MCP) server.