How Normalyze secures sensitive information in AI pipelines

Watch this demo and see how to enable your business with AI safely.

Protecting sensitive data in AI and LLM workflows is no longer a “nice to have”—it’s a mission-critical priority to avoid privacy violations, data breaches, and regulatory fines. This video showcases how Normalyze DSPM empowers enterprises to mitigate the risks of exposing sensitive data to AI systems in dynamic hybrid environments.

You’ll discover how comprehensive data pipeline visibility, advanced classification, and real-time risk detection allow teams to identify and secure sensitive information accessed by AI models. From detecting data exposure in platforms like AWS Bedrock and GCP Vertex AI to providing actionable insights, Normalyze helps you stay ahead of risks in complex AI workflows.

Watch to learn how Normalyze automates risk notifications, facilitates proactive remediation, and ensures your AI initiatives remain secure and compliant. Whether managing GDPR, HIPAA, or AI-driven challenges, this video demonstrates how Normalyze enables safe and confident adoption of AI while protecting your most sensitive data.