RudderStack introduces IaC governance for customer data

RudderStack introduced Infrastructure-as-Code (IaC) governance capabilities for its customer data infrastructure to help data teams operationalize Artificial Intelligence (AI) with fresh, trustworthy customer context while maintaining data ownership, control, and compliance.

In 2025 RudderStack delivered 3.3 trillion events for more than 4,000 organizations, and the company listed AssemblyAI, Otter.AI, N8N, Replicate, and Warp among its users. Its warehouse-native architecture makes the customer's existing data warehouse the System of Record (SOR) to power every system, tool, and use case with consistent, fresh customer context.

The release included real-time pipelines, proactive tools for data quality and compliance, real-time identity resolution, and a customer data semantic layer for the data warehouse. RudderStack released Incremental Features, described as a 5X performance enhancement for Profiles, its warehouse-native customer 360 product, which standardizes how profiles are defined and computed.

IaC-driven governance added code-based tracking plans and data catalogs so teams could define events, properties, and schema rules in version-controlled configuration files. The company also described CI-driven validation to automatically catch inconsistencies before they affected production pipelines and developer-native workflows to deploy governance changes through code-first processes.

“AI has raised the bar for customer data,” said Soumyadeb Mitra, Founder and CEO of RudderStack. “AI agents need fresh, trustworthy customer context. That requires real-time pipelines, proactive data governance, and a strong semantics layer. Today, we're introducing IaC-driven governance and enhancements to our customer 360 product to enable stronger guardrails and more automation for teams building AI in production.”

RudderStack said IaC-driven governance and Profiles enable the warehouse to fuel AI, analytics, and activation with fresh customer context.