Establishing AI Governance for Secure and Responsible Applications

The rapid adoption of AI applications introduces new security risks and governance challenges that traditional cybersecurity struggles to address. This white paper offers an overview of the AI landscape, highlighting key security implications and risks across AI deployment models.

Key topics include:

Securing pre-trained language models, custom training, and fine-tuning
Establishing visibility into AI models and data
Implementing policies to govern AI use and sensitive data
Addressing compliance and risk assessment for AI systems

The paper introduces a governance framework for visibility and control, aiding security leaders in mitigating AI-specific risks. Build a robust AI security strategy.

Vendor:: Palo Alto Networks
Posted:: Dec 10, 2024
Published:: Dec 11, 2024
Format:: PDF
Type:: White Paper

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