• Non-compliance: Sensitive data shared with unauthorized AI tools
Data Exposure: AI tools with excessive permission to access customer PII
SaaS-to-saaS risk: AI integrated creation of dangerous connections Low reliability and high value tools
Shadow AI sprawl: Employees employing rogue AI tools that bypass security controls
• Regulation blind spot: unsupervised AI use that violates GDPR, GLBA, and banking regulations.
The challenge for today’s security leaders is to support AI organizations in hiring through proper governance, while maintaining the strict data protection standards required by regulators.
This guide will be helpful. It provides a complete framework for protecting AI, from discovery and inventory to policy enforcement and compliance, developed specifically by AI security experts for regulated environments.
Download now and prepare your AI governance.
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