Bedrock users can perform tasks by choosing from a set of machine learning models called “warp models,” including Jurassic-2, Stability AI’s Stable Diffusion, and Amazon Titan.

Amazon Bedrock allows users to determine the most appropriate model for their specific needs. Integrating and deploying these models into applications can be accomplished seamlessly by leveraging familiar AWS tools and capabilities, including Amazon SageMaker ML features such as experiments to test different models for effective FM management at scale. The serverless nature of Bedrock offers a hassle-free experience, enabling quick and easy customization of FMs using private data.

A preview of Amazon’s generative AI toolkit is only available to select AWS customers. The Amazon Titan models, which are a component of the Amazon Bedrock offering, will also be made available to external clients, giving them the resources they need to create generative AI solutions and apps, in addition to being used to power Amazon’s internal use cases.

Amazon Titan FMs are pre-trained on vast datasets, making them highly potent and suitable for various purposes. They can be utilized as they are or customized with private data for specific tasks without the need for annotating significant volumes of data.

According to MarkTechPost, Amazon’s investments in generative artificial intelligence and big language models have caused a loud buzz in the tech world. With Bedrock and Amazon’s entry into the field, the potential for disruption in the AI landscape is huge. Bedrock offers enterprises cutting-edge tools to revolutionize their operations and drive innovation.

SeKVM is the first formally verified system for cloud computing. Formal verification is a critical step as it is the process of proving that software is mathematically correct, that the program’s code works as it should, and there are no hidden security bugs to worry about. Jason Nieh, professor of computer science and co-director of the Software Systems Laboratory commented:

“This is the first time that a real-world multiprocessor software system has been shown to be mathematically correct and secure. This means that users’ data are correctly managed by software running in the cloud and are safe from security bugs and hackers.”

Over the past dozen years, there has been a good deal of attention paid to formal verification, including work on verifying multiprocessor operating systems. The exponential growth of cloud computing has enabled companies and users to move their data and computation off-site into virtual machines running on hosts in the cloud. Cloud computing providers, like Amazon, deploy hypervisors to support these virtual machines.

Microverification of cloud hypervisors. Photo Credits: Jason Nieh and Ronghui Gu/Columbia Engineering

A hypervisor is the key piece of software that makes cloud computing possible. The security of the virtual machine’s data hinges on the correctness and trustworthiness of the hypervisor. Despite their importance, hypervisors are complicated—they can include an entire Linux operating system.

SeKVM was verified using MicroV, a new framework for verifying the security properties of large systems. It is based on the hypothesis that small changes to the system can make it significantly easier to verify, a new technique the researchers call micro verification. This novel layering technique retrofits an existing system and extracts the components that enforce security into a small core that is verified and guarantees the security of the entire system.

The changes needed to retrofit a large system are quite modest—the researchers demonstrated that if the small core of the larger system is intact, then the system is secure and no private data will be leaked. Shih-Wei Li, Nieh’s PhD student and co-lead author of the study commented:

“SeKVM will serve as a safeguard in various domains, from banking systems and Internet of Things devices to autonomous vehicles and cryptocurrencies.”

As the first verified commodity hypervisor, SeKVM could change how cloud services should be designed, developed, deployed, and trusted. In a world where cybersecurity is a growing concern, this resiliency is highly in demand. Major cloud companies are already exploring how they can leverage SeKVM to meet this demand. The study is titled “A Secure and Formally Verified Linux KVM Hypervisor” and will be presented at the 42nd IEEE Symposium on Security & Privacy on May 26, 2021.