In today’s fast-paced world, organizations are increasingly relying on artificial intelligence (AI) to streamline operations and enhance productivity. However, with the convenience and power of AI comes a significant risk to data privacy. As employees turn to readily available AI models for their tasks, they might unknowingly expose sensitive company data. This poses a substantial confidentiality risk, which organizations must address to protect their valuable information.

The need for confidential AI

AI has revolutionized the workplace, offering tools that can summarize documents, translate texts, and assist in various other tasks. Despite its benefits, AI also requires vast amounts of data for training and inference, often including personal and sensitive information. For instance, AI models like ChatGPT process user inputs that can contain highly personal details. Ensuring the confidentiality of these interactions is crucial, especially given the stringent data protection regulations like the GDPR in Europe.

Challenges in confidential AI

1. Inference confidentiality: Ensuring that the data shared with AI models during their use remains confidential. This is particularly critical for large language models (LLMs) and tools like ChatGPT, which are used widely and interact with numerous users. The goal is to perform these inferences securely without exposing sensitive data.


2. Training confidentiality: Training AI models inherently involves processing large amounts of data, often including personal and sensitive information. Achieving confidentiality during the training phase is challenging due to the extensive computational resources required, such as clusters of GPUs, which are not currently feasible to secure at scale.

Cosmian’s solution: confidential AI and more

• Confidential Virtual Machines (VMs) and AI runners: Cosmian provides verifiable confidential VMs (Cosmian VMs) equipped with AI runners that eliminate the need for manual coding. These VMs are designed to execute AI models securely, leveraging Intel AMX and Nvidia’s H100 when available for enhanced performance.

• RAG (Retrieval-Augmented Generation): To ensure AI outputs are accurate and reliable, Cosmian integrates RAG technology. This combines a semantic vector database with AI models, allowing for precise and truthful information retrieval from extensive data sources. For example, in pharmaceutical companies, RAG can efficiently classify and summarize vast amounts of scientific documents, providing valuable insights while maintaining data confidentiality.

Embracing AI without compromising privacy

AI is undeniably powerful and offers significant advantages in various fields. However, the privacy concerns associated with its use cannot be ignored. Cosmian’s suite of solutions, including confidential VMs, AI runners, and cutting-edge confidential computing technology, enables organizations to harness the power of AI without risking data security. By ensuring both inference and training confidentiality, Cosmian allows businesses to innovate safely and responsibly.

In conclusion, while AI presents unprecedented opportunities for efficiency and innovation, safeguarding the confidentiality of data is paramount. With Cosmian’s advanced cryptographic solutions and confidential computing capabilities, organizations can confidently integrate AI into their workflows, knowing their data is protected.

For more information on how Cosmian can help secure your AI and data, contact us.