Intel’s Confidential AI
Large language models (LLMs) and generative artificial intelligence (AI) tools have exploded in the market, enabling businesses to become more efficient globally by streamlining operations and optimizing workflows.
Companies are becoming more conscious of how data processing affects their Zero Trust policies, which aim to protect sensitive, proprietary, or confidential data, as well as their compliance obligations in light of recently enacted laws like the U.S. Executive Order on the Safe, Secure, and Trustworthy AI and the European Union’s AI Act, as they adopt this technology. AI models themselves have intrinsic value, which makes them worthy of protection. Intellectual property, like custom algorithms and LLMs, is the product of years of research and development and millions of dollars of financial commitment.
Confidential AI contributes to the protection of this data and can help businesses continue to use AI’s capabilities while adhering to the security, privacy, and compliance requirements necessary to conduct business. Additionally, it shields confidential generative models from prying eyes, safeguarding priceless intellectual property.
Confidential AI: What Is It?
Confidential artificial intelligence (AI) is a hybrid technology that straddles the divide between generative AI, which frequently depends on cloud compute power to be trained and handle complex tasks and requests, and Zero Trust policies, which are intended to protect private data. Businesses need technology that protects against exposure to inputs, trained data, generative models, and proprietary algorithms before they can trust AI tools. Confidential AI facilitates that process.
Confidential AI protects the data used to train LLMs, the output produced by these models, and the proprietary models themselves while they are in use by utilizing technologies and principles of confidential computing. Confidential AI thwarts malicious actors from gaining access to and disclosing data from both inside and outside the chain of execution through strict isolation, encryption, and attestation.
Intel’s Strategy for Confidential AI
Only when AI is developed in an ethical and responsible manner will it truly be available to everyone. In order to provide cutting-edge ecosystem tools and solutions that will make using AI more secure while assisting businesses in addressing important privacy and regulatory concerns at scale, Intel works with leading technology companies in the sector.
Intel Confidential Computing’s Confidential AI: Safeguarding Data and Models
With Intel’s confidential AI technology, data and models are protected and the legitimacy of assets and the computing environments in which they are used is verified. Proven solutions like Intel Trust Domain Extensions (Intel TDX) and Intel Software Guard Extensions (Intel SGX) are combined. To enable customers to secure a variety of AI workloads throughout the ecosystem, Intel develops platforms and technologies that propel the convergence of artificial intelligence (AI) and confidential computing. Today’s industry’s most extensive portfolio of confidential computing products is provided by Intel:
- Using Intel Software Guard Extensions for Application Isolation (Intel SGX)
- Intel Trust Domain Extensions (Intel TDX)
- For Virtual Machine Isolation; Intel Trust Authority for Independent Trust Attestation Services
Impact in the Real World
Businesses like healthcare, government, finance, and retail that depend on processing and storing sensitive data stand to gain from Intel’s creative and all-encompassing approach to confidential computing and AI. Businesses can quickly process massive volumes of data through their training models with confidential AI while upholding higher security and compliance standards.
FAQS
What is Confidential AI?
Confidential AI combines AI and confidential computing. This protects AI models and data while processing sensitive data in the cloud and other untrusted environments.
Why is Confidential AI important?
Security concerns are the reason why many organizations are reluctant to use AI. Confidential AI lets them use AI for sensitive data tasks like financial analysis and healthcare.
How does Intel’s technology achieve Confidential AI?
Intel Software Guard Extensions (SGX) and Intel Trust Domain Extensions encrypt data and models during processing. This guarantees their confidentiality even in a risky setting.
What is included with confidential computing?
Data in use is safeguarded through confidential computing. Confidential computing helps prevent data access by cloud operators, malicious admins, and privileged software by encrypting data in memory and processing it only after the cloud environment is confirmed to be a trusted execution environment.
What’s new in confidential computing?
Now, businesses can work together on regulated and sensitive data in the cloud while maintaining confidentiality. Standard N2D VM performance is comparable to that of confidential VMs. Confidential Computing opens up computing possibilities that were previously unattainable.
What are the benefits of Intel Confidential AI?
Security: Preserves private information and model sets for AI inference and training.
Privacy: Facilitates teamwork on AI initiatives without jeopardizing sensitive data.
Trust: Guarantees that the computer environment in which your AI workloads are executed is clean.
How does Intel Confidential AI work?
Intel offers technologies like Intel Trust Domain Extensions (Intel TDX) and Intel Software Guard Extensions (Intel SGX) to achieve Confidential AI. These technologies create isolated enclaves that protect your data and models even when they’re being processed in the cloud.
What is included with confidential computing?
Data in use is safeguarded through confidential computing. Confidential computing helps prevent data access by cloud operators, malicious admins, and privileged software by encrypting data in memory and processing it only after the cloud environment is confirmed to be a trusted execution environment.
