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Confidential Computing is a new method of security that is based on hardware. This method of encryption allows encryption of data even when running in memory, without it being exposed to others or only privileged users.
Lack of skilled resources internally, legacy approach, incorrect configurations of the cloud platform -all of these contribute to the problem. A recent survey indicates that more than 75 percent of security experts are overly worried about the security of cloud services for public use. In case where you intend to to learn additional information about what is an AWS Nitro Enclave, you have to sneak a peek at AWS Nitro site.
As the global pandemic forces them to adjust to changing market conditions, businesses are increasing cloud spending, moving more critical apps and optimizing their existing investments in cloud. It's even more important for the leading cloud providers to be able to bridge the gap in cloud security to assist enterprises in making this transition smoother and to unlock the next phase of cloud adoption.
The solution could be just near the edge, thanks to a new hardware-based security method called "confidential computing".
What is confidential computing?
Traditional data security is founded on three basic strategies to prevent unauthorised access to data: securing it during transit, in rest, and in use. Security strategies have focused mainly on the two first states. This is why at-rest and in-transition encryption standards have already been developed. Secureing data in use however has been a challenge. This is where encryption is not sufficient. Applications must have access to non-encrypted data.
There are a variety of industries that require a lot of data and are regulated (eg finserv, insurances, finserv as well as healthcare, media and Entertainment , etc.). There are significantly higher requirements for data protection in order to protect the customers' PII and intellectual property assets. In many of these instances there is an increased requirement to safeguard the 'data used'. For example healthcare dashboards that access sensitive patient information to make treatment decisions. Access to sensitive data cannot be avoided and encryption is not an option.
What are the benefits of Confidential Computer?
Confidential computing promises to revolutionize the entire system by encrypting the data that is being used. This emerging method lets data be encrypted even while it is running in memory, without having to expose it to others or privileged users. Data is further decrypted within the CPU with embedded hardware keys that cloud providers have no influence over. The AWS Nitro confidential cloud software usually built using hardware-based Trusted Execution Environments, also known as Enclaves, is a common illustration.
AWS' Nitro Enclave, for instance, offers isolation of memory and CPUs for EC2 instances by offering an isolated and highly constrained environment to host security-critical applications. It is virtual machines without persistent storage, administrator or operator access. Nitro Enclave uses Cryptographic attestation methods, which allow users to confirm that only authorized code is running on their Enclave. AWS's goal is to enable customers to easily move sensitive workloads to the cloud, while also protecting their resources more effectively.
Confidential Computing's Future
Confidential Computing is a promising technology that promises to change the landscape of cloud computing. Its benefits extend beyond the realms of security. Future AWS Nitro will allow collaboration between rivals (e.g. businesses working together on genomic research using cloud platforms).
Confidential computing is also able to allow more innovative machine learning Microservices, Blockchain, and Blockchain-related applications in enterprises. It's believed to be the only technology that could be able to secure Blockchain transactions, where sensitive information is transferred across the decentralized network. It addresses security issues related to moving mission-critical workloads into containers or Kubernetes environments.
The technology is still in its early stages. Gartner estimates a five- to 10 years wait before secure computing can be used in regular usage. Once it is it could be able to revolutionize cloud security.
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