A decade of mathematical certainty: Reflections on the Automated Reasoning Group

A decade of mathematical certainty: Reflections on the Automated Reasoning Group - Amazon Science

Close

Close

Social

bluesky

threads

twitter

instagram

youtube

facebook

linkedin

github

rss

Menu

Research

Research areas

Automated reasoning

Cloud and systems

Computer vision

Conversational AI

Economics

Information and knowledge management

Machine learning

Operations research and optimization

Quantum technologies

Robotics

Search and information retrieval

Security, privacy, and abuse prevention

Sustainability

Our scientific contributions

Publications

Research from our scientists and collaborators.

Conferences

Our experts present and discuss cutting-edge research at scientific meetings globally.

Research areas

Automated reasoning

Cloud and systems

Computer vision

Conversational AI

Economics

Information and knowledge management

Machine learning

Operations research and optimization

Quantum technologies

Robotics

Search and information retrieval

Security, privacy, and abuse prevention

Sustainability

Our scientific contributions

Publications

Research from our scientists and collaborators.

Conferences

Our experts present and discuss cutting-edge research at scientific meetings globally.

News & blog

The latest from Amazon researchers

Amazon Science Blog

Technical deep-dives and perspectives from our scientists.

News

Research milestones and recent achievements.

The latest from Amazon researchers

Amazon Science Blog

Technical deep-dives and perspectives from our scientists.

News

Research milestones and recent achievements.

Collaborations

Amazon Research Awards

Overview

Call for proposals

Latest news

Research stories

Recipients

Amazon Nova AI Challenge

Overview

Rules

FAQs

Teams

Research collaborations

Overview

Carnegie Mellon University

Columbia University

Hampton University

Howard University

IIT Bombay

Johns Hopkins University

Max Planck Society

MIT

Tennessee State University

University of California, Los Angeles

University of Illinois Urbana-Champaign

University of Southern California

University of Texas at Austin

Virginia Tech

University of Washington

Amazon Research Awards

Overview

Call for proposals

Latest news

Research stories

Recipients

Amazon Nova AI Challenge

Overview

Rules

FAQs

Teams

Research collaborations

Overview

Carnegie Mellon University

Columbia University

Hampton University

Howard University

IIT Bombay

Johns Hopkins University

Max Planck Society

MIT

Tennessee State University

University of California, Los Angeles

University of Illinois Urbana-Champaign

University of Southern California

University of Texas at Austin

Virginia Tech

University of Washington

Resources

Code and datasets

Amazon Nova

Try Amazon’s frontier foundation models.

Code and datasets

Amazon Nova

Try Amazon’s frontier foundation models.

Careers

Careers

Explore our open roles.

Amazon Scholars

Faculty research opportunities on industry-scale technical challenges.

Postdoctoral Science Program

Early-career research opportunities alongside experienced industry scientists.

Careers

Explore our open roles.

Amazon Scholars

Faculty research opportunities on industry-scale technical challenges.

Postdoctoral Science Program

Early-career research opportunities alongside experienced industry scientists.

Search

Submit Search

Automated reasoning

A decade of mathematical certainty: Reflections on the Automated Reasoning Group

Ten years after we founded the Automated Reasoning Group, mathematical logic has moved from academic research into production services that secure millions of customer workloads — demonstrating that systems can be provably correct, not just probably correct.

By Byron Cook

August 11, 2026

8 min read

Share

Share

Copy link

Email

X

LinkedIn

Facebook

Line

Reddit

QZone

Sina Weibo

WeChat

WhatsApp

分享到微信

x

Key takeaways

Amazon's Automated Reasoning Group, launched in 2016, has transformed formal verification from academic research into production systems processing billions of queries daily, proving AWS infrastructure is mathematically correct rather than just tested. ARG's foundational tools like Tiros and Zelkova evolved into customer-facing services including IAM Access Analyzer, Amazon Inspector, and Reachability Analyzer, which millions of customers rely on for security and network analysis with mathematical guarantees. The group has proven the correctness of critical AWS infrastructure including the Nitro Isolation Engine, cryptographic implementations, and the authorization engine handling one billion API calls per second through formal verification and SMT solvers.

Was this answer helpful?

In 2016 a small research team at Amazon announced our presence to the world with the launch of the Automated Reasoning Group (ARG). Our vision was bold: use mathematical logic to not just test AWS systems but to prove, with mathematical certainty, that they work correctly. In the intervening decade, we’ve gone from exploring whether advances in formal verification could mitigate previously intractable problems — at AWS scale — to building systems fundamental to how AWS approaches security and reliability. Our group’s production services process billions of queries daily. This is a look back at how we applied cutting-edge formal-verification and program analysis techniques to Amazon's unique challenges. We were motivated by the belief that real-world security and infrastructure problems could be solved with mathematical rigor at AWS scale. After all, tools like the ones we were researching had already proven successful at places like Intel and NASA. What we didn't fully anticipate was just how broadly applicable these techniques would become. From demos to production at scale

When we held our first ARG Demo Day in 2016, we showcased several ambitious projects to AWS Security. Each represented a different approach to the same fundamental question: how can we use mathematics to prove that our systems are secure and correct? The answers presented that day laid the groundwork for systems that continue to play significant roles for AWS and our customers in 2026.

Key milestones from the Automated Reasoning Group's first decade.

Sean McLaughlin gave a presentation titled “Automatic tools for reasoning about virtual private clouds (VPC)”. He noted that the growth of VPC networks had led to an increase in the demand for automated-reasoning solutions capable of...