Articles and Publications
The latest updates and news
Engineering Resilience: Redefining Fault Tolerance
How advanced consensus mechanisms like Secretarium's BFT-RAFT are pushing the boundaries of distributed computing.
Secretarium Announced Swift Hackathon Winners 2024
Secretarium is proud to announce our victory at the Swift Hackathon 2024! Our team tackled Challenge Statement 2, focused on developing innovative solutions to ensure data privacy in tokenised trades, and successfully built a fully functional prototype in only five days.
Improving secure enclaves interoperability
With the Secretarium SDK v3, we have introduced a radical improvement in enclaves communication.
Honest Computing
Systems that can't lie: Inside Secretarium's new "Honest Computing" technological solution.
Fraud & Scam
A collaborative approach to financial crime detection and prevention would significantly improve accuracy and efficiency.
Offline CBDC
Thales and Secretarium have been collaborating since 2022 on offline CBDC. This paper presents our technical approach.
Amlytic
Secretarium and FutureFlow have collaborated to demonstrate how graph network topologies and AI can reveal money laundering patterns.
Apple Intelligence
Apple believes Private Cloud Compute is "nothing short of the world-leading security architecture for cloud AI compute at scale".
Secretarium announced by the MAS as part of winning solution for their global CBDC challenge
We're thrilled that our privacy-preserving smart contract technology has been leveraged in a solution that won the global CBDC challenge organised by the Monetary Authority of Singapore.
Innovation Award wins for banking reference data applications
Our KYC and AML apps enable secure peer-peer data collaboration. The DANIE group has been using our technology since 2019 to improve data quality.
Implementing performant scalable solutions in confidential computing
Confidential computing (also known as Trusted Execution Environments or SGX enclaves) is a means to calculate secret information while maintaining confidence that malicious software installed on that machine cannot see or amend those calculations.