Explore the latest product updates, and overall machine learning security news.
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.
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.
Model providers invest heavily in creating proprietary AI models, but the ease of copying and stealing these models poses a significant challenge. Moreover, enterprise customers demand on-prem deployment for data security, leaving providers with difficult choices. Read more to learn about our solution to this challenge.
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