What data governance considerations are critical for agentic AI deployments?

Critical data governance considerations for agentic AI include:

  • Data privacy and compliance: Ensure that personal data is processed according to regulations like GDPR, and that customers are informed and give consent
  • Transparency: Make AI decisions explainable to end-users to increase trust and comply with transparency regulations
  • Access control: Implement strict data access protocols to ensure that only authorized systems or users can modify or interact with sensitive data

Snowplow helps by enabling businesses to capture and store event data in a controlled and compliant way, making governance easier. Snowplow Signals enhances governance by running in your cloud environment with full auditability and transparency, ensuring that agentic AI systems operate within established data governance frameworks while maintaining real-time performance.

Get Started

Whether you’re modernizing your customer data infrastructure or building AI-powered applications, Snowplow helps eliminate engineering complexity so you can focus on delivering smarter customer experiences.