Establishing a governance framework for AI applications

Lay the solid foundations for responsible and compliant AI.
Artificial intelligence (AI) is driving a new wave of innovation and efficiency that is transforming every sector. But as AI applications proliferate in businesses, they must establish a governance framework that addresses the security risks and challenges associated with these advanced technologies. To support you in this process, our white paper reviews the current range of AI-related risks, highlights key security issues, and proposes a robust governance framework to guide your organization through this complex landscape.

AI: Current state and challenges

The rapid advances in AI technologies bring with them a host of opportunities and risks. To address the resulting challenges, security professionals must take action on several fronts:

• Knowledge of the current AI ecosystem and its impact on data security and compliance
• Inventory of emerging threats that require new detection methods
• Definition and application of a governance framework for the deployment of AI applications in the enterprise

Implementation of a rigorous AI governance framework

Our white paper offers a structured method for establishing an AI governance program that guarantees the visibility and control essential for the responsible use of AI, in compliance with applicable regulations. Contents include:

• Complete inventory of AI data and models
• Policy development for approved and unapproved AI models
• Applying data governance practices to prevent data poisoning
• Effective verification and validation of new AI models
• Continuous monitoring of the behavior and performance of AI models to detect anomalies
• Implementation of regular audits to ensure compliance with regulations and mitigate risks

Titled "Establishing a Governance Framework for AI Applications", this white paper provides your company with the knowledge and tools needed for governance that ensures the security of your AI applications.

Lay the solid foundations for responsible and compliant AI.
Artificial intelligence (AI) is driving a new wave of innovation and efficiency that is transforming every sector. But as AI applications proliferate in businesses, they must establish a governance framework that addresses the security risks and challenges associated with these advanced technologies. To support you in this process, our white paper reviews the current range of AI-related risks, highlights key security issues, and proposes a robust governance framework to guide your organization through this complex landscape.

AI: Current state and challenges

The rapid advances in AI technologies bring with them a host of opportunities and risks. To address the resulting challenges, security professionals must take action on several fronts:

• Knowledge of the current AI ecosystem and its impact on data security and compliance
• Inventory of emerging threats that require new detection methods
• Definition and application of a governance framework for the deployment of AI applications in the enterprise

Implementation of a rigorous AI governance framework

Our white paper offers a structured method for establishing an AI governance program that guarantees the visibility and control essential for the responsible use of AI, in compliance with applicable regulations. Contents include:

• Complete inventory of AI data and models
• Policy development for approved and unapproved AI models
• Applying data governance practices to prevent data poisoning
• Effective verification and validation of new AI models
• Continuous monitoring of the behavior and performance of AI models to detect anomalies
• Implementation of regular audits to ensure compliance with regulations and mitigate risks

Titled "Establishing a Governance Framework for AI Applications", this white paper provides your company with the knowledge and tools needed for governance that ensures the security of your AI applications.