Though known as a technology research firm, Galois values creating more than just great research. Throughout our history, our scientists and engineers have developed new technologies, built new tools, and made discoveries that provoke a “tail” of downstream opportunity. Over and over again, rather than becoming a software company focused on those downstream opportunities, we […]

Digital engineering (DE) is gaining momentum as the system engineering community matures practices and tooling. In its present avatar, DE workflows and tools rely on MBSE (Model-Based Systems Engineering) for developing and maintaining digital system artifacts and keeping these artifacts in sync during all phases of the system. This is presently achieved via descriptive models […]

Abstract: Low-level, pointer-manipulating programs are tricky to write and devilishly hard to verify, requiring complex spatial program logics to reason about heap updates. Recent systems like Prusti and Creusot take advantage of Rust ownership mechanisms to shield the programmer from some spatial assertions, allowing them to only write pure, first-order logic specifications which can be […]

Thus far in our ongoing series on artificial intelligence we’ve spoken in depth on questions of trust, human perception, and limitations of generative models. We have focused specifically on large language models (LLMs), due in part to their recent successes and media attention. We’ve explored questions of data, testing, and broad model implications. However, LLMs […]

2022 wasn’t a return to pre-pandemic times, but we’ll call it a “return to almost-normal.” At Galois, we continued a hybrid model of in-person and virtual collaboration. We also added several members to our team, including the acquisition of Adventium Labs! (More on that below.) Throughout the year, we made considerable progress applying our efforts […]

Abstract: Since 2016, various members of Project Everest have been busy verifying layer after layer of critical software. We started with cryptographic primitives, moved on to high-level stateful APIs, followed by protocols, handshake state machines, and high-level defensive APIs complete with proofs of security in the Dolev-Yao symbolic model. In our most recent work, we […]

Cryptography continues to rapidly transform our world. It seems like every day there’s a new story about fully homomorphic encryption, blockchains, and how these technologies secure billions and even trillions of dollars in assets.  We’ve talked about cryptographic algorithms and twice about cryptographic assurance. People who work with these concepts every day have been the […]

2021. Wow. There it went. And far more interesting than most of us anticipated. While weathering the various world storms, we also managed to keep advancing the cause of building trustworthy computing systems. Galois continued pioneering work in formal methods, high-assurance cryptography, machine learning, data science, rigorous digital engineering, and more. From our virtual perch, […]

2020 was certainly an interesting year. Amidst a global pandemic and major societal issues,  keeping software and hardware systems trustworthy continued to be challenging. From election systems to ransomware to privacy breaches and online banking theft, the challenges of trustworthy software are alive and well. In this arena, Galois and our partners advanced the state […]

This blog is the second in a series of posts about a joint project between Galois, Supranational, The Ethereum Foundation, and Protocol labs verifying the blst signature library. You can find the first post here. It’s a combination of my bad jokes and an overview of what we’re trying to achieve.  It’s happening already. The […]