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Synopsys, Inc. provides electronic design automation software products used to design and test integrated circuits. The company offers Digital and Custom IC Design solution that provides digital design implementation solutions; Verification solution that offers virtual prototyping, static and formal verification, simulation, emulation, field programmable gate array (FPGA)-based prototyping, and debug solutions; and FPGA design products that are programmed to perform specific functions. It also provides intellectual property (IP) solutions for USB, PCI Express, DDR, Ethernet, MIPI, HDMI, and Bluetooth low energy applications; logic libraries and embedded memories; processor cores, software, and application-specific instruction-set processor tools for embedded applications; security IP solutions; IP solutions for automotive market; and system-on-chip (SoC) infrastructure IP, datapath and building block IP, and verification IP products, as well as mathematical and floating-point components, and Arm AMBA interconnect fabric and peripherals. In addition, the company offers HAPS FPGA-based prototyping systems; virtual prototyping solutions; and Platform Architect solutions for SoC architecture analysis and optimization, as well as a series of tools used in the design of optical systems and photonic devices. Further, it provides security testing, managed services, programs and professional services, and training that enable its customers to detect and remediate security vulnerabilities, and defects in the software development lifecycle, as well as manufacturing solutions. The company serves electronics, financial services, automotive, medicine, energy, and industrial areas. Synopsys, Inc. was incorporated in 1986 and is headquartered in Mountain View, California.

SYNOPSYS INC

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Shares of Synopsys Inc. shed 4.89% to $565.26 Tuesday, on what proved to be an all-around dismal trading session for the stock market, with the S&amp;P 500 Index...

Synopsys Inc. stock underperforms Tuesday when compared to competitors - MarketWatch

Shares of Synopsys Inc. inched 0.50% higher to $594.32 Monday, on what proved to be an all-around rough trading session for the stock market, with the S&amp;P...

Synopsys Inc. stock outperforms competitors on strong trading day - MarketWatch

Technology continues to grow at a very fast rate and while this continuous growth is something that should be welcomed it doesn’t come without its fair share of challenges. To most emerging tech, more focus is usually on the pros most of the time and people tend not to care much about the legality side. Take for instance driverless cars in place. Self-driving cars potentially offer incredible benefits such as increased safety and convenience, environmental sustainability, and improved traffic flow. Nevertheless, it’s no secret that tech malfunctions, often when you don’t expect it. How do self-driving cars fit in the spectrum of legality especially when accidents occur due to malfunctions? This post shall delve deep into the legal challenges and implications of autonomous vehicles like a driverless car highlighting ones such as liability, privacy, and regulation. In any case, it would be difficult to have a very profound discussion on these legal implications without properly understanding how driverless cars operate. How Do Autonomous Vehicles Work? People not aware of how autonomous vehicles work usually have misapprehensions about it. Some think it’s like driving blindfolded but this is not true. Self-driven vehicles operate through lots of information collection both from the environment and about yourself as well. They rely on a combination of sensors, cameras, and advanced algorithms to gather the information they need. Self-driving cars are also made up of a complex web of AI and machine learning algorithms, which allow the car to learn, sense situations, as well as react using pre-programmed directions whenever they encounter various driving conditions. The building blocks of autonomous vehicles include: : Various kinds of sensors, which are adapted, while implementing the driver-less vehicles are , or Lidar, radar, and cameras, for collecting data about the surroundings. Each one of these parts of autonomous vehicles has different roles but their working is so very synchronized that driveless cars work effectively. Sensors Light Detection and Ranging Lidar uses laser beams in mapping the surrounding 3D environment while radar helps in detecting the distance and the speed of moving things. Cameras help in the visual aspect of things such that vehicles can detect pedestrians and other vehicles as well as obey the traffic signs. Almost all self-driven vehicles have onboard computer systems that collect and process information from the sensors in real time. The data collected are later analyzed by the systems through complicated algorithms for decision-making based on predefined rules together with machine learning models. Computer Systems: : After a decision has been computed, the autonomous vehicle actuates on its actuators to regulate the movements of the vehicle. The components of the self-driving cars' actuators change the final products produced from data algorithmic into physical activities such as turning the steering one way or a certain direction and also applying the brakes of the car in use. Actuators From all the above, it’s transparent that driverless cars are the future of the car industry. As such, top manufacturers including Tesla and Mercedez already have models of driverless cars. However, growth comes at a cost and it’s time to explore the legal implications of autonomous vehicles. Challenges With Regulations and Laws For Autonomous Vehicles The fact is governments all over the world are struggling to cope with technology’s pace and to figure out how to go about regulating autonomous vehicles. Already, there are some legislations in place, such as the ’s guidelines for autonomous vehicle testing and deployment. However, there are still a lot of grey areas that need to be addressed. For example, determining liability. National Highway Traffic Safety Administration (NHTSA) Liability and Insurance Considerations for Autonomous Vehicles Determining liability in the event of accidents involving self-driving is complex, to say the least. Traditional accident liability laws aim to protect the victim of the situation by shifting liability to the driver, after confirming the person who was behind the wheel. However if the driver is supposed to bear liability for the accident, who then takes the blame in accidents involving self-driving cars? Is the owner of the car liable for the damages or does liability transfer to the manufacturing company since the owner wasn’t actually driving when the accident took place? Traditionally, a car accident lawyer handles claims relating to issues like hit-and-run accidents, different types of collisions and even weather accidents with satisfactory familiarity. However, the reality is in situations that involve self-driving cars, the legal specifics become a whole lot more complex. The complexity involved also extends into the realm of insurance claims. Insurance companies generally refuse payouts to car accident victims who have been engaged in unsafe driving practices directly linked to causing the accident. However, there are no concrete laws for determining what constitutes risky or unsafe driving as far as self-driving cars are concerned. In addition to this, insurance companies currently base their premiums on factors like the driver's age, driving history, and vehicle type. However, with autonomous vehicles becoming more and more popular, it has become more evident that there is really no proper coverage for these automobiles. Privacy Issues As mentioned earlier before, self-driving cars work by collecting massive amounts of data about their environment and the occupants in them. But then such massive data collection also raises extremely valid privacy concerns. This includes the quantifiable problems in collecting all location data - video footage and others shared with the third-party providers without consent from passengers. There is also a question concerning the assumption of responsibility for possible leakage of some data as a result of cyber attacks on the servers of manufacturers, operators or third parties related to those who manufacture self-driving cars. Passengers should have control over such information and the potential ability not to let it be collected at all. This is important to note as drafting and enforcement of legislature inclined to self-driving car technology raises several ethical issues. For instance, who does the vehicle decide to value in terms of safety more when there is deliberation involving an accident that cannot be evaded? Should it prioritize the safety of its passengers, that of the other car's passengers, or foot passengers? This has raised the question as to whether ethical self-driving algorithms can be developed. Moving Forward There’s no doubt that their full integration is the next stage for the automobile industry. However, there are very real legal challenges that still need to be solved and loopholes to be closed. Current legal ambiguities regarding areas like liability determination, privacy regulation, and ethical considerations still require a lot of legal clarifications before full integration becomes a reality. Pending that time, the importance of having adequate legal coverage cannot be overstated. So if you own a self-driving car, look into getting a car accident lawyer. Sources: https://www.americanbar.org/news/abanews/publications/youraba/2018/december-2018/legal-implications-of-driverless-cars/ https://www.synopsys.com/automotive/what-is-autonomous-car.html# https://www.aberdeen.com/blog-posts/tech-legal-challenges-autonomous-car-industry-facing/ https://www.wssociety.co.uk/features/2021/8/31/the-future-legal-implications-of-automated-vehicles https://www.faegredrinker.com/en/insights/publications/2023/9/2023-legislative-and-regulatory-developments-affecting-autonomous-vehicles . https://www.frtriallawyers.com/blog/2023/august/the-legal-implications-of-autonomous-vehicles/#:\~:text=One of the central legal,lines of responsibility become blurred https://www.nhtsa.gov/vehicle-safety/automated-vehicles-safety %20to%20the%20Earth.) https://oceanservice.noaa.gov/facts/lidar.html#:\~:text=Lidar%2C which stands for Light,variable distances) to the Earth.

Autonomous Vehicles: The Unseen Legal Implications

Organizations now recognize the significant role of integrating security in the software development lifecycle. DevSecOps is a powerful approach that has emerged to achieve this goal. By incorporating security practices at the earliest stages of development, DevSecOps helps organizations identify and reduce vulnerabilities more effectively, minimize the risk of security breaches, and build more secure applications. This article will discuss the fundamental principles of DevSecOps and provide key steps for securing your organization’s CI/CD Pipeline. DevSecOps Principles : Organizational principles It is important to involve Security teams right from the beginning of a project to make sure that security requirements are given serious thought and attention early on. This step can prevent the discovery of security problems later in the development phase, which could be more expensive and time-consuming to fix. Involve Security Teams Early: In DevSecOps, it is important for Development, Security, and Operations teams to work together. By promoting a culture of shared responsibility for security, organizations can ensure that all team members play a part in creating secure applications and in identifying and solving security issues faster. Collaboration and Transparency: DevSecOps incorporates security practices early in the development process, also known as "shifting left." It helps organizations to detect vulnerabilities in the codebase before they escalate into expensive and time-consuming issues. Shift-Left: DevSecOps advocates for the inclusion of security procedures throughout the entire software development process, ensuring continuous security. This involves implementing automated security testing, constant monitoring, and regular security evaluations. Continuous Security: The concept of security chaos engineering involves deliberately introducing security-related problems and disruptions into a system to verify its ability to withstand them and reveal weaknesses. Security Chaos Engineering: By replicating actual security incidents, organizations can obtain significant insights into their system's performance during challenging conditions. This enables them to take proactive measures to address vulnerabilities and enhance their overall security position. Security Awareness/Training principles: To make security a top priority of your organization, provide your team members with security training and resources, encourage collaboration, and recognize that everyone is responsible for security. By doing this, you can cultivate a culture that prioritizes and integrates security throughout your organization. Foster a Security Culture: Developers should be encouraged to adopt secure coding practices like input validation, output encoding, and proper error handling. These practices will help mitigate security vulnerabilities in the code and reduce the risk of potential attacks. Adopt Secure Coding Practices: Gamification techniques can be adopted by organizations to encourage a security-focused culture and educate team members on security best practices. Gamification of Security Training: By transforming security training into an enjoyable and competitive experience, engagement and knowledge retention can be enhanced, ultimately promoting better security practices throughout the organization. Technical principles: Automating security processes can bring various benefits to organizations. These include increased efficiency, reduced human error, and the consistent application of security best practices. Automation: To maintain security during the development process, it is important to regularly run security checks and tests within the continuous integration and continuous deployment pipeline. This will ensure that security concerns are constantly evaluated and addressed. Integrate Security into the CI/CD Pipeline: Use tools like static application security testing (SAST) and dynamic application security testing (DAST) to check for weaknesses and potential security threats in your codebase. These automated security testing tools should be added to your organization's CI/CD pipeline to provide real-time security feedback. Implement Automated Security Testing: Securing the CI/CD Pipeline: Key Steps and Solutions To secure your CI/CD pipeline, protecting the Build environment is the first essential step. Only authorized personnel should access Build servers and infrastructure. To prevent unauthorized access, implement robust authentication methods, such as multi-factor authentication (MFA) with hardware keys. Additionally, keep the Build environment up to date with the latest security patches, and configure it according to the best industry practices. Secure the Build Environment: To safeguard your code repository, implement robust access controls that permit only the necessary access to authorized personnel, and monitor it frequently to identify any suspicious activities. Also, keep reviewing and updating user permissions and use encryption to protect sensitive data stored in the repository. Secure Code Repository: Hardcoded credentials, such as passwords or secret keys within the code, is a serious security risk as they can provide unauthorized access if the code is exposed. Hardcoded Credentials Scanner Solutions: Open-source solutions: TruffleHog - https://github.com/trufflesecurity/trufflehog - GitLeaks https://github.com/gitleaks/gitleaks - GitSecrets https://github.com/awslabs/git-secrets Enterprise solutions: GitGuardian - https://www.gitguardian.com/ SpectralOps - https://spectralops.io/ Bridgecrew - https://bridgecrew.io/secrets-scanning/ To automatically detect any potential security weaknesses in your code during the build process, integrate SAST tools into the CI pipeline. These tools can help you find problems such as insecure coding practices, input validation errors, and potential code injection vulnerabilities. Static Application Security Testing (SAST): Open-source solutions: SonarQube - https://www.sonarsource.com/products/sonarqube/ Semgrep CLI - https://github.com/returntocorp/semgrep Enterprise solutions: Veracode - https://www.veracode.com/products/binary-static-analysis-sast Checkmarx - https://checkmarx.com/cxsast-source-code-scanning/ - Coverity https://www.synopsys.com/software-integrity/security-testing/static-analysis-sast.html To ensure the security of your application, you can use SCA tools to track third-party libraries and open-source components that you use. SCA tools can check for potential security risks such as outdated components, known vulnerabilities, and licensing issues. Software Composition Analysis (SCA): Open-source solutions: OWASP Dependency-Check - https://owasp.org/www-project-dependency-check/ - Nancy (GoLang) https://gonancy.dev/ - RetireJS (JavaScript) https://retirejs.github.io/retire.js/ - Safety (Python) https://github.com/pyupio/safety Enterprise solutions: - Black Duck Hub https://www.synopsys.com/software-integrity/security-testing/software-composition-analysis.html Mend - https://www.mend.io/sca/ Snyk - https://snyk.io/ In case your software uses containers, make sure to follow container security best practices, which include implementing minimal base images, scanning for vulnerabilities, and enforcing strict access controls. Additionally, it would be best if you used specialized container security tools, like container vulnerability scanners and runtime security monitoring solutions. Container Security: Open-source solutions: Trivy - https://github.com/aquasecurity/trivy - Grype https://github.com/anchore/grype - Clair https://github.com/quay/clair Enterprise solutions: Aqua Security - https://www.aquasec.com/products/software-supply-chain-security/ Sysdig Secure - https://sysdig.com/products/secure/ Snyk - https://snyk.io/product/container-vulnerability-management/ Incorporate security checks into your use of IAC tools like Terraform, CloudFormation, or Ansible. This is to ensure that the configuration of your infrastructure is indeed secure and free from potential security misconfiguration. Infrastructure as Code (IaC) Security: Open-source solutions: Checkov - https://github.com/bridgecrewio/checkov Tfsec - https://github.com/aquasecurity/tfsec KICS - https://kics.io/ Enterprise solutions: Bridgecrew - https://bridgecrew.io/infrastructure-as-code-security/ Prisma Cloud - https://www.paloaltonetworks.com/prisma/cloud/infrastructure-as-code-security - Snyk https://snyk.io/product/infrastructure-as-code-security/ To test your application in a real-time environment, add DAST tools to your CI/CD pipeline. These tools can uncover vulnerabilities that may only become visible when the application is executing, such as configuration issues, authentication problems, and access control concerns. Automated DAST tools should be used for thorough security testing. Dynamic Application Security Testing (DAST): Open-source solutions: OWASP Zed Attack Proxy (ZAP) - https://www.zaproxy.org/ - Nikto https://github.com/sullo/nikto - GoLismero https://github.com/golismero/golismero Enterprise solutions: Fortify WebInspect - https://www.microfocus.com/en-us/cyberres/application-security/webinspect Rapid7 InsightAppSec - https://www.rapid7.com/products/insightappsec/ - Checkmarx https://checkmarx.com/checkmarx-dast/ To enhance the security of your application and infrastructure, it is essential to continuously track and analyze their behavior. This can be achieved by implementing solutions for constant monitoring and logging. By doing so, you can quickly identify and respond to any potential security incidents that might occur. Continuous Monitoring and Logging: To facilitate this process, tools like SIEM (Security Information and Event Management) systems, intrusion detection systems, and log analyzers can be used to detect and alert you on security events. Open-source solution: ELK Stack (Elasticsearch, Logstash, and Kibana) - https://www.elastic.co/ Enterprise solutions: Splunk - https://www.splunk.com/en_us/products/enterprise-security.html Datadog - https://www.datadoghq.com/ To maintain the security and adherence of your CI/CD pipeline to industry standards and regulations, it is essential to conduct regular security audits and assessments. This includes examining the code, testing for potential vulnerabilities, and assessing the infrastructure. By implementing these measures, you can ensure that your pipeline is secure and compliant. Regular Security Audits and Assessments: Open-source solutions: OpenVAS - https://github.com/greenbone/ - BurpSuite Community https://portswigger.net/burp/communitydownload Enterprise solutions: Tenable Nessus - https://www.tenable.com/products/nessus QualysGuard - https://www.qualys.com/cloud-platform/ - BurpSuite Professional https://portswigger.net/burp/pro To be well-prepared for any security breach or incident, it is essential to create a clear incident response plan that lists the necessary steps to take. To ensure the safety of your application, your CI/CD pipeline must have the ability to roll back any deployments, patch any vulnerabilities, and immediately redeploy secure versions of your application. Incident Response Planning: Open-source solution: TheHive Project - https://thehive-project.org/ Enterprise solutions: IBM Resilient - https://www.ibm.com/products/qradar-soar Cortex XSOAR - https://www.paloaltonetworks.com/cortex/cortex-xsoar - D3Security SOAR https://d3security.com/enterprise-soar/ is a beneficial tool for DevSecOps teams. It's an open-source vulnerability management tool created by the OWASP community. Vulnerability Management and Reporting: DefectDojo This tool helps manage security vulnerabilities in the development process. One central space for all the information regarding defects is provided by DefectDojo. It makes it easier for teams to generate detailed reports and keep track of their progress over time. DefectDojo promotes clear communication about vulnerabilities, which ensures that security issues are resolved efficiently and promptly. As you can see, it is crucial to secure the CI/CD pipeline to implement a successful DevSecOps process. To achieve this, organizations need to incorporate security checks and tools throughout the pipeline. By doing so, they can identify vulnerabilities in advance and address them before they can cause security breaches. This helps to ensure that their applications are secure and comply with regulations. With the steps and practices outlined in this article, you can establish a robust and secure CI/CD pipeline for delivering software quickly and safely.

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