The platform enables users to automate end-to-end workflows, from identifying sensitive data exposed to the internet to revoking access permissions and fulfilling privacy requests. By leveraging BigID’s existing data context, AgentIQ aims to bridge the gap between AI reasoning and granular, enterprise-grade security enforcement. Dimitri Sirota, CEO and co-founder of BigID, noted that the tool is designed to remove the headcount constraints typically capping data programs, allowing teams to describe desired outcomes and have the system execute the remediation.

AgentIQ functions as a flexible infrastructure layer rather than a standalone destination. Organizations can deploy pre-built BigID agents, construct custom workflows on the AgentIQ platform, or connect third-party AI models via secure protocols. To maintain oversight, the system inherits user permissions, logs every action for auditability, and operates across the company's existing network of over 200 integrations. Nimrod Vax, head of product, emphasized that the architecture is model-agnostic, preventing vendor lock-in while ensuring that security remains tied to the underlying data context.