Generative AI for Specifications 

System engineering involves a delicate interplay between three tasks: specification (what a system should do); implementation (what a system actually does); and verification (determining whether they agree). Already, novel generative AI technologies have emerged that can assist with implementation and verification (e.g., respectively, Microsoft’s CoPilot, and formal verification tools developed on DARPA’s PEARLS Artificial Intelligence […]

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Galois / Twisp: Avoiding Foolishness in Distributed Systems

“Foolish consistency,” Emerson claimed, “… is the hobgoblin of little minds.” We agree! The problem, in both philosophy and distributed computing, is to figure out when consistency is foolish and when it is absolutely necessary. Fortunately, formal methods technologies can help us address this problem. Galois and our partner Twisp have been using the P language for […]

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The Impact of Provable Security: AWS and Supranational

Galois’s mission is to help make the critical systems that the world relies on more secure and trustworthy. Over the years, we’ve put our team’s deep expertise in software correctness, cryptography, digital engineering, and machine learning to work, providing formal assurance for complex systems in high stakes contexts for both government and commercial clients. From […]

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Proofs Should Repair Themselves

In his 1900 book The Wonderful Wizard of Oz, L. Frank Baum tells a story that will resonate with any software engineer. A woodman by the name of Nick Chopper suffers a series of workplace accidents. In turn, his arms, legs, body, and even his head are replaced by metal prosthetics. Eventually, what remains is […]

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