Security Assurance, Backed by Mathematical Proof
AWS is committed to helping you achieve the highest levels of security in the cloud. Using automated reasoning technology, the application of mathematical logic to help answer critical questions about your infrastructure, AWS is able to detect entire classes of misconfigurations that could potentially expose vulnerable data. We call this provable security that provides higher assurance in security of the cloud and in the cloud.
Find below the latest research and insights into key cloud security challenges of today and the future.
Put Provable Security to Work Today
Latest Articles and Blogs
Neha Rungta, Senior Principal Applied Scientist at the AWS Automated Reasoning Group, writes about how automated reasoning can help companies achieve provable security.
Research and Insights
MODEL CHECKING BOOT CODE FROM AWS DATA CENTERS
Data center security is a foundational component of security in the cloud. This insight paper describes steps we've taken to provide provable security of boot code, an essential step in establishing the security of any data center.
PROVING TIME-BALANCING OF CRYPTO SYSTEMS
At AWS, the security and integrity of your data is our top priority, so we developed SideTrail, a program analysis tool that mathematically verifies the correctness of countermeasures in cryptographic code. Learn more in this insight paper.
PROVABLE SECURITY OF RESOURCE POLICIES, AT SCALE
A properly configured policy is a vital part of an organization's security posture. Policy misconfiguration is one of the leading security concerns of cloud customers. This insight paper dives into Zelkova, a policy analysis engine that can automatically detect entire classes of resource misconfigurations.
CONTINUOUS FORMAL VERIFICATION OF AMAZON S2N
We describe formal verification of s2n, the open source TLS implementation used in numerous Amazon services. A key aspect of this proof infrastructure is continuous checking, to ensure that properties remain proven during the lifetime of the software. At each change to the code, proofs are automatically re-established with little to no interaction from the developers. We describe the proof itself and the technical decisions that enabled integration into development.
REACHABILITY ANALYSIS FOR AWS-BASED NETWORKS
In this industrial case-study, we describe a new network reachability reasoning tool, called Tiros, that uses off-the-shelf automated theorem proving tools to identify network misconfigurations of security vulnerabilities. Tiros is the foundation of a recently introduced network security analysis feature in the Amazon Inspector service now available to millions of customers building applications in the cloud. Tiros is also used within AWS to automate compliance verification and adherence to security invariants for many AWS services that build on existing AWS networking features.
FORMAL REASONING ABOUT AWS
Learn how automated reasoning tools and methods within Amazon Web Services provide the highest levels of security assurance for the cloud. We also discuss potential future avenues of research and application.
OBJECT-ORIENTED SECURITY PROOFS
This insight paper tells the high level of story of a technique that AWS security experts have used to prove the correctness of systems.
A SOLVER-AIDED LANGUAGE FOR TEST INPUT GENERATION
Developing a small but useful set of inputs for tests is challenging. We show that a domain-specific language backed by a constraint solver can help the programmer with this process. The solver can generate a set of test inputs and guarantee that each input is different from other inputs in a way that is useful for testing.
PRACTICAL METHODS FOR REASONING ABOUT JAVA 8’s FUNCTIONAL PROGRAMMING FEATURES
We describe new capabilities added to the Java Modeling Language and the OpenJML deductive program verification tool to support functional programming features introduced in Java 8. We also report on the application of the extensions to a secure streaming protocol library developed by Amazon Web Services and used as a foundation by services it provides.
AWS re:Invent 2019: Provable access control-Know who can access your AWS resources
Learn about the evolution of automated reasoning technology at AWS and how it works in the services in which it is embeddeed.
AWS re:Invent 2019: Deep Dive into IAM Access Analyzer
Deep dive into this new capability for security teams and administrators to validate that resource policies only provide the intended public and cross-account access.
AWS re:Invent 2019: Leadership Session-AWS Security
Stephen Schmidt and Neha Rungta address the current state of cloud security, identity and compliance and what's new from AWS Security.
AWS re:Inforce 2019: The Evolution of Automated Reasoning Technology at AWS
Eric Brandwine and Neha Rungta discuss the evolution of automated reasoning technology at AWS and how it works in the services in which it is embedded, including Amazon S3, AWS Config, and Amazon Macie.
AWS re:Inforce 2019: An AWS Approach to Higher Standards of Assurance w/ Provable Security
Byron Cook talks about the AWS provable security initiative, a collection of automated reasoning technologies that help prove the correctness of key security components both in and of the cloud.
AWS re:Inforce 2019: Automate Compliance Verification on AWS Using Provable Security
Learn how the AWS Provable Security initiative applies automated reasoning technology to automatically prove that a customer’s cloud environment meets certain regulatory standards.
Bridgewater Associates discuss the use of ARG tools at AWS Summit in NYC
Learn how Bridgewater Associates, the world's largest hedge fund, developed an automated reasoning process that analyzes security policies and operationalizes them into an automated control validation and response system.
AWS re:Invent 2018: Policy Verification and Enforcement at Scale with AWS
With developers managing infrastructure as code (IaC), learn how Goldman Sachs uses distributed serverless logging pipelines and leverages AWS automated reasoning tools to help enforce access policy in the process.
AWS re:Invent 2018: The Theory and Math Behind Data Privacy and Security
Data privacy and security are top concerns for customers in the cloud. In this session, the AWS Automated Reasoning group shares the advanced technologies, rooted in mathematical proof, that help provide the highest levels of security assurance in today's data-driven world.
How LogMeIn Automates Governance and Empowers Developers at Scale
Learn how LogMeIn moves quickly and stays secure through the power of automation on AWS. We walk through core AWS security building blocks, such as IAM, AWS CloudTrail, AWS Config, and Amazon CloudWatch.
What is AWS Zelkova?
Learn more about AWS Zelkova, a tool that is part of AWS's Provable Security initiative. Zelkova is an IAM data governance tool embedded across a variety of AWS services that helps assess IAM policies and their behavior.
How AWS service teams use Automated Reasoning for security
Neha from the AWS Security Automated Reasoning Group explains how her team built new automated reasoning rules for AWS Config and Amazon Macie.
Formal reasoning about the security of Amazon Web Services
Plenary lecture at the Federated Logic Conference, 16 July 2018
AWS re:Invent 2017: AWS CISO Steve Schmidt talks about Zelkova
AWS CISO and VP of Security Steve Schmidt talks about the development and use of formal/constraint-based tools in AWS.