Confidential AI gains traction as businesses adopt generative AI

Generative artificial intelligence (AI) tools and large language models (LLMs) are increasingly being utilized by businesses to optimise workflows and streamline processes on a global scale. However, the adoption of these technologies highlights the need for robust Zero Trust policies to safeguard sensitive and proprietary data from exposure.

As companies implement AI solutions, there is growing awareness about the importance of protecting the data processed through these systems. Confidential AI emerges as a key solution, enabling organisations to leverage AI capabilities while adhering to essential security, privacy, and compliance standards. Additionally, it secures proprietary generative models, thereby protecting valuable intellectual property.

Confidential AI stands at the confluence of AI and confidential computing. It bridges the gap between Zero Trust policies aimed at securing private data and the cloud-based compute power often required for training and processing AI models. To gain businesses' trust in AI tools, it is crucial to protect inputs, trained data, generative models, and proprietary algorithms from exposure. Confidential AI plays a pivotal role in achieving this goal.

By employing confidential computing principles and technologies, Confidential AI safeguards the data used to train LLMs, the outputs these models generate, and the proprietary models themselves during operation. It utilises rigorous isolation, encryption, and attestation mechanisms to prevent malicious actors from accessing or exposing data, both within and outside the chain of execution.

Intel advocates that AI will be truly accessible to all only when it is developed ethically and responsibly. The company collaborates with industry technology leaders to deliver innovative ecosystem tools and solutions aimed at making AI more secure, while also addressing critical privacy and regulatory concerns at scale. Intel claims to offer the most comprehensive confidential computing portfolio in the industry today.

Intel's Confidential AI platform and technologies facilitate the convergence of AI and confidential computing, enabling customers to securely manage diverse AI workloads across the entire ecosystem. This approach is posited to benefit industries highly reliant on sensitive information, such as healthcare, government, finance, and retail. With Confidential AI, businesses can rapidly process large volumes of data through their training models whilst maintaining high levels of security and compliance.

Confidential AI offers a promising path for businesses eager to harness the power of AI without compromising security or breaching regulatory standards. It aims to create a safe environment for the deployment and use of AI technologies, ensuring that sensitive data remains protected throughout the process.