Development, security, and operations; are the three critical elements of a software development lifecycle. Combined, these three elements, also known as DevSecOps, enable developers to work more efficiently and effectively. It provides them with tools to automate their processes, such as identifying vulnerabilities, patching security threats, and auditing code.
But how is it different from the usual software development and testing approaches? And how does Artificial Intelligence (AI) enhance it?
Let’s find out… But first, here’s a more in-depth detail into DevSecOps.
What is DevSecOps?
DevSecOps is a term that has been coined to describe the process of bringing security concepts into development. It is an umbrella term for a group of practices and tools that aim to reduce security risks in software development processes. DevSecOps aims to develop secure applications by integrating security from the beginning of the software development life cycle. It can significantly help developers to improve the quality, detectability and security of their applications while they are being developed.
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Moreover, DevSecOps helps enterprises move away from traditional approaches of software development towards providing more secure applications at faster speeds through automation. This approach helps software developers build stronger products by improving their ability to monitor and control what happens inside the application during the entire life cycle (from the initial design through deployment).
How Does DevSecOps Help a Software Development Company?
Every software development company aims to reduce application errors and improve the overall quality of software solutions. With the implementation of the DevSecOps strategy, businesses will be able to minimize any impact on delivery speed or quality by automating as much as possible. This automation can help their developers in focusing on building high-quality applications rather than spending time on manual processes such as configuration management or testing.
DevSecOps aims to improve the security posture of applications through enhanced collaboration between developers, operators and security professionals. With the help of DevSecOps, developers will be able to leverage a set of techniques that are used to reduce the risks associated with software development. It includes many software development processes, tools and practices such as continuous integration, automated testing, config management, deployment automation, code review and configuration management.
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DevSecOps results in more secure products by reducing failures during development phases. It significantly reduces the time required for an application to go through development cycles by ensuring that each change is tested before it goes into production. Moreover, it reduces risk by providing security assurance during the entire lifecycle of an application. Therefore, if a software development company is focusing on reducing costs by eliminating unnecessary manual efforts when deploying applications or managing them across multiple platforms, then DevSecOps is your answer.
The Benefits of DevSecOps include the following:
1. More secure code
Security is a shared responsibility between developers, testers and IT staff. By automating security tasks within your development environment, you can ensure that you have control over your own code and protect against vulnerabilities before they become an issue for customers or end users.
2. Faster application delivery
Automated processes can be set up in minutes instead of days or weeks, allowing for faster deployment times for new releases. This also allows for faster testing during development cycles, which reduces the risk of bugs being discovered after release.
3. Improved collaboration between employees
Developers are no longer limited by the tools available to them within a single team or organisation; instead, they can share information across teams and gain access to additional resources, such as vulnerability databases, via the cloud-based services provided by DevOps providers.
4. Improved security vulnerability patching
DevSecOps instantaneously handles newly identified security vulnerabilities in a software application. It integrates vulnerability scanning and patching into the software release cycle. This gives it the ability to identify and patch common vulnerabilities and exposures (CVE) is diminished.
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5. Capable of automating the modern development
The test automation of application security depends on the software project and business goals. Some companies might not want to automate software testing, whereas others will want to. For such companies, DevSecOps offers security automation at appropriate patch levels and confirm that software passes security unit testing. Plus, it can test and secure code with static and dynamic analysis before the final update is promoted to production.
6. A self-adapting innovative process
As new threats emerge, a software development company must also advance their security testing process. DevSecOps ensures security is applied consistently across the software environment even as the environment changes and adapts to new requirements.
How does Artificial Intelligence (AI) Enhance DevSecOps?
Artificial intelligence (AI) can enhance DevSecOps by automating security tasks automatically without requiring human intervention. AI can help identify threats from vulnerabilities, detect patterns in data, and make decisions based on collected data. There are also other processes that AI simplifies in DevSecOps, such as:
1. AI automates the entire process.
The first and foremost way artificial intelligence (AI) improves DevSecOps is by automating the entire testing and deployment process. With the help of AI, the testing team will be able to automate some of the manual tasks like defining test cases, creating scripts for automated testing, etc. This will save your team from doing repetitive work. In addition, it will reduce the number of errors in your release pipeline.
2. Track bugs more efficiently.
Artificial Intelligence (AI) improves DevSecOps by helping software developers track bugs more effectively. AI can detect anomalies in an application or product and give developers insights into what could be causing them. It can also predict when a bug will be fixed, which makes it easy for you to fix bugs before they get into production.
3. Improves customer support.
The third way how Artificial Intelligence (AI) improves DevSecOps is by improving customer support services. Software development companies use machine learning models to analyze customer feedback from social media platforms like Facebook or Twitter. This can automatically create reports informing customer service representatives about issues reported on social media platforms or from users directly via email messages or other live chat systems.
Software Development Made Easier With DevSecOps
DevSecOps aims to create more predictable and secure software releases at scale by bringing together security experts with developers, testers, operations staff and other stakeholders who work on production systems. The idea behind DevSecOps is to use an integrated approach to cybersecurity and software development, enabling developers to work closely with QA teams and test experts throughout the process.
DevSecOps include faster response times, better communication between stakeholders and improved developer productivity. It also helps organizations manage security risks through continuous monitoring, testing and remediation processes.
Therefore, if your business would like to increase the overall security posture of a software development process and deliver highly-efficient applications on time, then talk to our experts. We offer FREE consultation on DevSecOps, Artificial Intelligence (AI), IoT, Software Development and much more.
Author Bio
Ricky Philip is a content strategist, who has an unparalleled dedication to building productive and engaging website content that attracts traffic and increase search engine rankings. If not typing furiously on his keyboard, Ricky is constantly learning ways to enhance search traffic acquisitions.
