Check risk score of Gen AI models on our LLM Safety Leaderboard.

Schedule a call here.

Securing Model Sharing and Supply Chain: Addressing Entitlements for AI Models

The Growing Problem of Entitlements for Model Providers

As the adoption of artificial intelligence (AI) models continues to soar across industries, the need to ensure secure model sharing and manage the model supply chain becomes increasingly crucial. Model providers invest significant time, resources, and expertise into developing sophisticated proprietary models that cater to the specific needs of enterprises. These models often represent the culmination of years of research and development. However, without proper entitlements, model providers face the risk of unauthorized usage, replication, and misuse of their valuable intellectual property. These entitlements pertain to the rights and permissions associated with AI models, including usage, distribution, and modifications.

The lack of secure entitlements can lead to several challenges for model providers, including:

  1. Unauthorized Access: Without clear entitlements, individuals or organizations may gain access to AI models without permission, potentially leading to misuse, infringement, or unethical practices.
  2. Undocumented Usage: Model providers may struggle to track how their models are being used, limiting their ability to monitor performance, gather feedback, and ensure compliance with licensing agreements.
  3. Uncontrolled Distribution: Entitlements help govern the distribution of AI models. Without proper controls, unauthorized distribution can occur, leading to unintended or detrimental consequences.
  4. Intellectual Property Risks: Proprietary models are valuable intellectual property, and without adequate entitlements, model providers may find it difficult to protect their IP from unauthorized replication or reverse engineering.

Tracking the Model Supply Chain

At Enkrypt AI, we are developing a robust Model Rights Management (MRM)solution to address the challenges associated with entitlements, and establish mechanisms to track the model supply chain effectively. Our MRM technology helps enforce entitlements and prevent unauthorized access, replication, or modification of AI models. These technologies can incorporate features such as encryption, access control mechanisms, and usage tracking, providing an additional layer of security.

  1. Licensing and Permissions Framework: Enkrypt AI provides seamless enforcement of licenses and enable model providers to define and integrate entitlements associated with their models. This includes specifying authorized users, permitted usage scenarios, and tracked distribution. By clearly defining these parameters, model providers can maintain control and protect their IP rights.
  2. Transparent Audit Trails: With Enkrypt AI, all model activity history remains immutable, ensuring auditable logs to enhance transparency and accountability. Regularly monitoring and auditing model usage and access logs help identify any suspicious activities or breaches and prevent model misuse. This allows for proactive measures to be taken to address potential vulnerabilities or unauthorized sharing.

Conclusion

As the demand for AI models continues to rise, securing entitlements and tracking the model supply chain becomes paramount for model providers. Addressing these challenges is crucial to protect proprietary models, foster innovation, and maintain trust within the AI ecosystem. Enkrypt AI provides a comprehensive framework that includes license enforcement, MRM technologies, and transparent audit trails, so model providers can mitigate risks and ensure the secure sharing and distribution of their AI models. These measures not only protect their intellectual property but also contribute to the overall integrity, reliability, and responsible use of AI in commercial settings. As the field of AI continues to evolve, it is imperative that all stakeholders work together to establish robust mechanisms for securing entitlements and tracking the model supply chain, ensuring a sustainable and ethical AI landscape for enterprises.

To learn more about how to secure share your proprietary AI models, please contact us here. We would be happy to help you secure your assets and grow your business.

January 30, 2024

Securing Model Sharing and Supply Chain: Addressing Entitlements for AI Models

Enkrypt AI

Top 5 AI Security Trends Discussed at the Confidential Computing Summit 2024

How Data Silos Act as Barriers to Generative AI Adoption in Businesses

Without enterprise-wide AI visibility, strategic decision-making is impaired, potentially leading to missed opportunities for optimization and growth. Read more to learn how Enkrypt can help.

Bridging the Gap: How Model Metering and Security Can Drive On-Prem and VPC ML Revenue

The Growing Problem of Entitlements for Model Providers

As the adoption of artificial intelligence (AI) models continues to soar across industries, the need to ensure secure model sharing and manage the model supply chain becomes increasingly crucial. Model providers invest significant time, resources, and expertise into developing sophisticated proprietary models that cater to the specific needs of enterprises. These models often represent the culmination of years of research and development. However, without proper entitlements, model providers face the risk of unauthorized usage, replication, and misuse of their valuable intellectual property. These entitlements pertain to the rights and permissions associated with AI models, including usage, distribution, and modifications.

The lack of secure entitlements can lead to several challenges for model providers, including:

  1. Unauthorized Access: Without clear entitlements, individuals or organizations may gain access to AI models without permission, potentially leading to misuse, infringement, or unethical practices.
  2. Undocumented Usage: Model providers may struggle to track how their models are being used, limiting their ability to monitor performance, gather feedback, and ensure compliance with licensing agreements.
  3. Uncontrolled Distribution: Entitlements help govern the distribution of AI models. Without proper controls, unauthorized distribution can occur, leading to unintended or detrimental consequences.
  4. Intellectual Property Risks: Proprietary models are valuable intellectual property, and without adequate entitlements, model providers may find it difficult to protect their IP from unauthorized replication or reverse engineering.

Tracking the Model Supply Chain

At Enkrypt AI, we are developing a robust Model Rights Management (MRM)solution to address the challenges associated with entitlements, and establish mechanisms to track the model supply chain effectively. Our MRM technology helps enforce entitlements and prevent unauthorized access, replication, or modification of AI models. These technologies can incorporate features such as encryption, access control mechanisms, and usage tracking, providing an additional layer of security.

  1. Licensing and Permissions Framework: Enkrypt AI provides seamless enforcement of licenses and enable model providers to define and integrate entitlements associated with their models. This includes specifying authorized users, permitted usage scenarios, and tracked distribution. By clearly defining these parameters, model providers can maintain control and protect their IP rights.
  2. Transparent Audit Trails: With Enkrypt AI, all model activity history remains immutable, ensuring auditable logs to enhance transparency and accountability. Regularly monitoring and auditing model usage and access logs help identify any suspicious activities or breaches and prevent model misuse. This allows for proactive measures to be taken to address potential vulnerabilities or unauthorized sharing.

Conclusion

As the demand for AI models continues to rise, securing entitlements and tracking the model supply chain becomes paramount for model providers. Addressing these challenges is crucial to protect proprietary models, foster innovation, and maintain trust within the AI ecosystem. Enkrypt AI provides a comprehensive framework that includes license enforcement, MRM technologies, and transparent audit trails, so model providers can mitigate risks and ensure the secure sharing and distribution of their AI models. These measures not only protect their intellectual property but also contribute to the overall integrity, reliability, and responsible use of AI in commercial settings. As the field of AI continues to evolve, it is imperative that all stakeholders work together to establish robust mechanisms for securing entitlements and tracking the model supply chain, ensuring a sustainable and ethical AI landscape for enterprises.

To learn more about how to secure share your proprietary AI models, please contact us here. We would be happy to help you secure your assets and grow your business.