Unlike other distributed systems where data leakage is possible, all distributed compute is fully containerized and encrypted so no one knows what they’re doing or for whom.
Whether your infrastructure is spread across your 15 data centers or 15 cloud instances like AWS, accessing your data securely from a single location is expensive in today’s environment.
Primelab provides secure data unification with a significant level of cost reduction. For example, reducing a $90,000 AWS bill to $200 with baked in revenues through more efficient infrastructure where data is fully encrypted on your hardware and only accessible to people explicitly granted permission.
Network Authentication
Server Calls for $1
Messages reduced from Megabytes
The network confidentially maximizes efficiencies through uniquely encrypted resource management, reducing bottlenecks and contention. Robust security measures protect data and resources from unauthorized access while they are containerized across multiple machines. Dynamic resource allocation increases access to efficient compute to both onsite and remote departments.
Protect sensitive data from unauthorized access and potential breaches on Tamper-resistant hardware that preserves the confidentiality and integrity of data in transit & while being processed. Completely obscure a programs attack surfaces as no computer can discern what it’s processing or for whom. Secure results by only reconstructing processed data at its intended targets.
Proprietary split compute increases program resilience against system failures and increases the complexity needed for a non-intended target to discern even the smallest part of a program’s objectives. Programs are broken across thousands of computers at their lowest level operations (addition, multiplication) and participating computers don’t know the hardware identities of their counterparts in the virtual machine comprising any program. An outsider has no idea when a piece of hardware contributing to the network switches between low level operations for one of the thousand virtual machines to which it may be simultaneously contributing.
Embedded compute increases network throughput and resilience against internet outages by storing authenticated program results and permissions on end devices, removing the need to authorize most actions by referencing central authorities. Stored authorizations enable network devices to provide immediate responses powering their efficient contribution to multiple VMs simultaneously. Every third party authorization is required once per machine, and their reusability turns requesting permission from a series to a parallel process for faster compute.
Companies can upload and process their data in a way, where they’re the only ones who can access their underlying data. While at the same time companies running physical infrastructure, can interpret the data to make traceable inferences that improve & protect their systems. Network security monitoring network messaging can differentiate data types such as heath data vs shopping data and treat them accordingly while automatic routing directs them to their intended targets all while internal message data remains end-to-end encrypted.
Experience confidential compute with end-to-end encrypted results that arrive internationally in milliseconds while hitting 80% fewer computers along the way
Find a friend on another continent and transfer them permissions with a speed the Google Cloud Team claims “Shouldn’t be possible.
Take embedded compute offline and transfer it via blue-tooth to colleagues without a network connection