# automotive-industry Published articles for automotive-industry. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Vulnerabilities in a centralized automaker dealer platform enabled access to more than 1,000 US dealerships DevFeed: [Vulnerabilities in a centralized automaker dealer platform enabled access to more than 1,000 US dealerships]() Original publisher: [Read original article]() Author: Eaton Published: 2025-10-13T15:13:09Z Content type: article Language: en Sources: [Eaton Works Feed]() Topics: [vulnerability](), [Exploit](), [Hacking](), [account]() Tags: [account](), [automotive-industry](), [hacking](), [us](), [vulnerabilities](), [vulnerability]() ### AI overview The article describes two vulnerabilities in a top automaker's centralized dealer platform: missing invite-token verification and a missing privilege check in account creation. The author states that these flaws enabled creation of a national admin account with access to systems across more than 1,000 US dealerships. ### Source excerpt On August 10, 2025 at DEF CON 33 in Las Vegas, I presented what could possibly be the biggest vulnerability I may ever discover in the automotive industry. Read and watch how I managed to take over a top automaker's entire dealer ecosystem. ## Secure your terraform.state file with Terraform Vault Backend DevFeed: [Secure your terraform.state file with Terraform Vault Backend]() Original publisher: [Read original article]() Author: Zalan Blenessy Published: 2024-10-29T08:45:07Z Content type: tutorial Language: en Sources: [Volvo Cars Engineering - Medium]() Topics: [Terraform](), [HashiCorp Vault](), [Amazon S3](), [DevOps](), [HTTP](), [CI/CD]() Tags: [automotive-industry](), [aws-s3](), [backend-development](), [ci-cd](), [devops](), [hashicorp-vault](), [http](), [s3](), [security](), [software-development](), [terraform](), [vault]() ### AI overview This article introduces the Terraform Vault Backend, a specialized Terraform HTTP backend for storing terraform.state files in HashiCorp Vault. It explains why shared remote state is needed, how Terraform state works, and why state files containing secrets may require more secure storage than ordinary blob stores such as AWS S3. ### Source excerpt tl;dr: The Terraform Vault Backend is the missing complement to the Terraform Vault Provider. Volvo Cars has since 2017 strategically grown its software engineering organisation. Today, we have thousands of software engineers and hundreds of DevOps engineers to facilitate efficient tooling and workflows for software development and release. In my role as a CI Architect at the Complete Software Factory (CSwF) department, I am accountable for the CI/CD systems at CSwF. Most of our services are hosted in "the Cloud" and terraform is the most popular tool used by our DevOps engineers to provision Cloud infrastructure. This article introduces the Terraform Vault Backend, a specialised Terraform HTTP Backend which allows you to store your terraform.state file in HashiCorp Vault. This is relevant if your terraform.state contains secrets, too sensitive to be stored in ordinary blob stores like AWS S3. Terraform is a tool that generates infrastructure from code. Given some configuration, running terraform apply makes Terraform intelligently carry out the actions needed to create the desired infrastructure. For example, you can put the following configuration in main.tf: resource "local_file" "somefile" { content = "foo bar baz" filename = "${path.module}/somefile.txt" } Then apply it with: $ terraform init $ terraform apply Out comes a file called somefile.txt with the content foo bar baz. You can inspect it with: $ cat somefile.txt foo bar baz It also creates a bunch of other files in your folder, most notably the terraform.state file. This file reflects the current state of the "infrastructure" (somefile.txt), which has been provisioned for you. Terraform is idempotent, which means that running terraform apply a second time, with the same input configuration, will not change anything as somefile.txt has already been added to terraform.state . Sharing Terraform State It is not enough to share your Terraform configuration files with your colleagues, you also need to share th ## What could quantum computing do for Automotive Companies? DevFeed: [What could quantum computing do for Automotive Companies?]() Original publisher: [Read original article]() Author: Bahram Ganjipour Published: 2024-01-29T08:05:33Z Content type: article Language: en Sources: [Volvo Cars Engineering - Medium]() Topics: [Quantum Computing](), [Combinatorial optimization](), [datasets]() Tags: [algorithms](), [automotive](), [automotive-industry](), [combinatorial-optimization](), [ev-battery](), [machine-learning](), [quantum-computing](), [simulation]() ### AI overview The article discusses potential real-world uses of quantum computing for automotive companies, including constrained combinatorial optimization, quantum algorithms compatible with NISQ hardware, quantum programming, and simulation. It also describes how machine learning and large datasets relate to data-intensive business problems, while noting current limitations and the need to compare quantum and classical performance. ### Source excerpt In the final post of this series on the rise of quantum computing, Bahram Ganjipour, a senior software engineer and quantum computing lead at Volvo Cars, goes over some of the real-world use cases of this fast-moving technology -- as well as the current limitations on its potential. What exactly can quantum computing assist us with? As highlighted in the first post, one of the main hurdles for any organization when it comes to quantum computing (QC) is the need to comprehend the business potential of quantum computing. This understanding is crucial for making informed decisions regarding the adoption of quantum computing technologies. Early adoption of quantum computing can help companies in navigating this complex landscape and distinguishing between hype and real opportunities. By embracing QC early on, organizations can gain a competitive edge and position themselves at the forefront of quantum advancements. Real-world use cases of quantum computing and Potential game-changer: When it comes to tackling real-world business problems using quantum computing we need to consider several elements listed below: - How to map a business use case into a format that can be handled on quantum hardware. Constrained combinatorial optimization problems may be encoded in a constraint-free form. - Being aware of and selecting quantum algorithms compatible with NISQ hardware. - Developing programming skills for quantum devices. Both direct proficiency in a certain language and conceptual understanding of how to think when developing quantum algorithms. - Simulation/execution, and what you can learn from it, such as how quantum performance compares to classical performance and the potential for mid-term, non-trivial achievements. o Machine Learning and large datasets The concept should be of particular interest to anyone who works with data science at scale. Machine learning (ML) can be immensely valuable in analyzing massive amounts of data as handling the complexity of analyzing l ## Quantum Computing: Paving the Path to a Greener Automotive Industry and Beyond DevFeed: [Quantum Computing: Paving the Path to a Greener Automotive Industry and Beyond]() Original publisher: [Read original article]() Author: Bahram Ganjipour Published: 2024-01-23T14:23:50Z Content type: opinion Language: en Sources: [Volvo Cars Engineering - Medium]() Topics: [Quantum Computing]() Tags: [automotive](), [automotive-industry](), [battery](), [electric-vehicles](), [energy](), [funding](), [interest](), [quantum](), [quantum-computing](), [quantum-technologies](), [research](), [startups]() ### AI overview This second post in a series examines quantum computing's potential applications across industries, with particular attention to automotive use cases such as logistics, materials discovery, and improving batteries for electric vehicles. It also explains that quantum computers are specialized systems rather than universally faster conventional computers and notes growing interest and investment in the field. ### Source excerpt In the 2nd post of this series on the rise of quantum computing, I will explore the industry's landscape and offers an insightful overview of how quantum computing may revolutionize various industries, with a specific focus on its implications for the automotive industry. Quantum computing, as a field, is incredibly inspiring. Its potential to solve complex computational problems beyond the capabilities of classical computers fuels our hopes for energy-efficient solutions in various domains. This includes addressing logistics challenges, advancing material discovery, and significantly improving battery technology for electric vehicles. This inspirational view drew a lot of attention and investment to the field, and, as it is usual, the fertile ground provides a general opportunity for growth, both for the expected and the unexpected, paving the way for a greener, more sustainable future in the automotive industry and the broader realm of electric vehicles. Like many other technologies, quantum computing (QC) has a longer history than we might expect. The academic foundations of the field were established in the 1980s, similar to the internet, which took decades to achieve widespread adoption. In the next post of this series, I will go into more detail on QC and how it works. For those who are unfamiliar with quantum computers, there are a few things to keep in mind for the time being. Firstly, Quantum computers are not simply superior versions of regular computers; they are vastly different systems that excel in solving specific problems. Their superior performance can be linked to their ability to leverage the strange behaviors of quantum particles in their information-processing capabilities. This makes QC well-suited for tackling immensely complex mathematical calculations that traditional machines cannot efficiently manage. You are not alone if you've been hearing more about QC recently. The tech community, investors, and government research organizations have b ## Unveiling Quantum Computing: Unlocking the Power of Qubits and Superposition DevFeed: [Unveiling Quantum Computing: Unlocking the Power of Qubits and Superposition]() Original publisher: [Read original article]() Author: Bahram Ganjipour Published: 2023-10-23T11:21:52Z Content type: article Language: en Sources: [Volvo Cars Engineering - Medium]() Topics: [Quantum Computing](), [Math and Logic]() Tags: [automotive](), [automotive-industry](), [quantum](), [quantum-computing](), [software](), [software-engineering](), [superposition](), [technology]() ### AI overview This introductory article explains quantum computing for an automotive audience, focusing on qubits, superposition, and how quantum technology could eventually address challenges across the automotive value chain. ### Source excerpt The emergence of quantum computing (QC), which has drawn considerable interest from corporate executives and technological experts, has led automobile companies to consider its implications for their future operations. In a three-part series, I , a senior software engineer and quantum computing lead at Volvo Cars, will shed light on this matter. The purpose of these series is to help you dip your toes into the water. TL; DR: Quantum Computing in Automotive For those of you familiar with quantum computing, bear with me, but for those who aren't, let's explore why it's truly remarkable and why we're thinking about it at Volvo Cars. Quantum computers are like superhero of the computation world, armed with the power to tackle profound global challenges. Now, imagine, what if we use our superhero friends, Quantum computers, to address issues throughout the automotive industry's value chain, with the aim of enhancing the environmental footprint of our cars, making them more sustainable and energy-efficient? This is what we are diligently striving to achieve at Volvo Cars and why we're captivated by quantum computers. So, buckle up as we delve into the fascinating realm of quantum technology and explore how it has the potential to transform the way we perceive both technology and automobiles. A quantum computer could carry out an immense number of calculations simultaneously by harnessing the unique properties of quantum. This allows them to process information in a completely distinct manner from classical computers, surpassing the capabilities of even the most powerful supercomputers available today. Quantum computing is going to change everything and even how we understand the world. The core advantage of quantum computers lies in their fundamental building blocks. Let's delve into the core advantages of quantum computers. The easiest way to explain quantum computing is by comparing it to classical computation. Conventional computers work on the basis of binary logic or