How organizations can balance AI innovation speed with security risks

Organizations implementing AI face security challenges as they balance innovation with risk management. While 85% use large language models, many struggle with data protection, compliance, and AI-specific threats like prompt injection and model vulnerabilities.

This white paper outlines essential security measures for safe AI adoption, focusing on solutions that ensure visibility and control across the AI lifecycle. Key topics include:

• Monitoring AI assets, applications, and data pipelines
• Enforcing governance policies to prevent AI-specific attacks
• Detecting and investigating emerging AI threats

Read the white paper to learn how to adopt AI securely while maintaining protection.