In the era of digital transformation, data privacy and security have become paramount. As data moves through different stages - at rest, in transit, and in use - it becomes vulnerable to various threats. This post will delve into these stages, the associated risks, and the methods used to mitigate these risks. We'll discuss each stage in two separate sections: privacy and security, to provide a clear understanding of the techniques involved.
Ensuring entitlements for AI models is crucial for model providers in the commercial space. The lack of secure entitlements poses risks such as unauthorized access, undocumented usage, and intellectual property infringement. Enkrypt AI provides license enforcement, MRM technologies, and transparent audit trails to help secure entitlements and track the model supply chain, fostering innovation and trust in the Enterprise AI ecosystem.
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:
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.
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.