Ant Group Unveils Cloud-based Cryptographic Computing Platform
Ant Group unveiled
SecretFlow Cloud, its cloud-based cryptographic computing platform, and a suite
of cryptographic computing solutions tailored for large language models (LLMs)
at the World Artificial Intelligence Conference in Shanghai.
Leveraging
integrated software-hardware cryptographic computing technologies, these
solutions enable the secure circulation of encrypted data throughout the
hosting and inference processes of LLMs, safeguarding the integrity of LLM
assets and data security while significantly enhancing data privacy protection.
Providers can now encrypt and deploy their LLMs onto cloud environments
effortlessly with a single click through its encrypted hosting service,
safeguarding their valuable assets from compromise and theft. Meanwhile, the
encrypted inference service ensures efficient data security and the protection
of trade secrets during interactions with LLMs.
These solutions
allow GPUs to perform computing tasks within trusted execution environments,
notably reducing the cost and performance disparity between encrypted LLM
inference and plaintext operations, providing a more cost-effective approach.
The platform also integrates additional technologies such as memory and disk
encryption, ensuring end-to-end encryption and secure cross-domain model
hosting management. Additionally, a user-friendly remote attestation system
allows for smooth verification through web interfaces, minimizing friction for
users.
SecretFlow Cloud
currently supports both public and private cloud deployments, and is compatible
with commonly-used LLMs in the global market. For instance, in a public cloud
setup, users can seamlessly build a new professional LLM on SecretFlow Cloud or
migrate an existing LLM to the platform, with its secure LLM inference services
ready in as few as 10 minutes with just a click. Moreover, users can purchase
cryptographic computing resources on demand to meet their needs.
"Data is the
most critical element in the application of LLMs, and cryptographic computing technology
significantly enhances the utility of data in cross-domain scenarios,"
noted Dr. Lenx Wei, Vice President and Chief Technology Security Officer at Ant
Group. "As LLMs evolve toward specialized professional domains and become
essential productivity tools, cryptographic computing will play a vital role,
particularly in fully unlocking the value of high-quality, domain-specific data
sets."
According to Dr.
Wei, while companies often deploy LLMs in private environments to address data
security challenges, such methods can incur higher operational costs and
compromise both service efficiency and quality, ultimately constraining the
potential of LLMs. The cryptographic computing solutions offered by SecretFlow
Cloud can effectively resolve these issues.
Looking forward,
SecretFlow Cloud aims to further develop its cryptographic computing solutions
to ensure data security throughout the full lifecycle of professional LLMs,
including their creation, deployment, and service delivery.
Ant Group has been
exploring privacy-preserving computing technologies since 2016 and released
SecretFlow in 2022 as an open-source privacy-preserving computing framework
that features an array of advanced technologies, including multiparty
computation, federated learning, Trusted Execution Environments, Homomorphic
Encryption, and Differential Privacy. Positioned at the forefront of
cryptographic computing, SecretFlow Cloud represents a new generation of
privacy-preserving computing technology, poised to overcome pain points in
security, cost, and accessibility in data circulation. It offers a solution for
instantly harnessing data value, akin to turning on a tap. To date, its
technologies have been adopted in industries such as insurance, rural finance,
healthcare, public services, and marketing.
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