Protecting private data in AI deployments

Strategies for securing intellectual property in AI systems

Webinar As enterprises increasingly incorporate AI, the challenge of protecting private intellectual property (IP) often becomes more difficult.

The complexity of large language models (LLMs), especially when deployed in cloud environments, can heighten the risk of unauthorized data access. On October 2nd at 12PM ET, Nutanix will present a webinar which offers insights into protecting your organization's most sensitive data in AI ecosystems.

In this session, you will explore:

• AI deployment security: Best practices for deploying AI models with robust data protection.
• Preventing IP exposure: How to guard against data leakage in complex AI workflows.
• Managing AI model security: Ensuring safe model updates without risking IP.

This discussion will benefit IT leaders and AI developers aiming to balance innovation with data protection.

Register here to ensure your enterprise AI remains secure while driving innovation.

Sponsored by Nutanix.