3 ways AI will integrate with DevSecOps

DevSecOps

In the recent era organizations are moving towards AI and ML as it leads to advancement in the development process in SDLC. Along with the advantages which come with AI, there is one major threat which is security. AI believing in training the process based on historical behavior and then take a better action In the future when the same situation comes. There should be some practices which should involve more security practices with AI techniques. This is what is called as DevSecOps. Which will deliver the product faster and with at most security?

Explaining DevSecOps in Detail

It is a study which tries to integrate the security principle in DevOps technologies. In this DevOps team and cybersecurity team comes at the same page where the agenda is to deliver faster code but with utmost security. It bridges the gap between DevOps service providers and security team which will make the product more reliable and the delivery pipeline more robust. It follows a microservice - based infrastructure where single function modules are present instead of complex modules. There will be constant monitoring of the processes and upgrading the infrastructure so that the organization can continue with their new developments. Hybrid cloud environment should be integrated into the infrastructure. Also, a continuous feedback loop will help developers to know their mistakes earlier and all security breaches can be controlled. With the help of real-time feedback system, organizations can never put their systems at risk.

Benefits of using DevSecOps over DevOps: Let’s see the benefits which DevSecOps will provide which were not present in DevOps.

  • Efficiency of product delivery gets increased.
  • More agile processes will be followed which will integrate all teams together.
  • Automatic builds for assurance testing will be done easily.
  • Vulnerabilities would be discovered faster and you can take immediate action so that those issues don’t pop up in production.
  • More transparency in the processes followed in the organization.
  • The cloud would become more scalable and it would lead to fewer vulnerabilities at production.
  • ROI will get increased.

AI and ML can help DevSecOps by increasing speed of false positive identification. This will eventually reduce the time spent on threat vector identification. Let’s see how can DevSecOps emerge in this year with the help of 3 ways so that IT organizations can against start using DevSecOps enthusiastically as they used to implement AI.

1. Low-security Review time

Earlier developers did not have plenty of time to perform security inspection as time guidelines were very strict. They had a very small amount of time to complete the development so that the code can go into production. They did not bother about security testing of the product as it was an add-on to the time. The speed and accuracy of AI are tremendous which means developers can do the development at a faster pace so that they can meet guidelines. With faster development with AI technologies, security testing can be done very easily. With the held of AI and security testing, you can decrease vector identification time and your delivery pipeline in DevOps will become more speedy.

This will help developers to know about vulnerable risk much more they will have a huge impact on the delivery pipeline. You can access the security risk in real time and in this way AI is going to advance DevOps Security testing which.

2. Need Of Cybersecurity Professionals

Cyber-security incidents are increasing at a rapid pace and it has become very important that we restrict these breaches else it can lead to huge loss. If you think that AI can completely replace humans then it is a completely false statement. AI also depends on humans as for the first process of training the process you need some data to be feed in. This data has to be consolidated by human monitoring and if you are using wrong data then obviously machine would be trained a wrong way. So, it is very important to assure that correct data is fed to the machine so that it should be trained in a perfect way.

There should be more cybersecurity experts who know what data is right and what data is wrong. They should actually know how to train the AI model. These should be proficient in security testing experience. They should know if the data is corrupted or not. They should know that the conclusions are correct or not. Machine learning and AI are highly efficient technologies but the first step is human input and if the human is training the model in the right way then even if these technologies can’t get the correct output.

3. New Learning And Fast Discoveries Of Vulnerabilities

AI can be integrated into DevSecOps as it will help developers to continuously increase the performance without putting delivery of product at stake. With the help of AI, developers can do the development at a faster pace and in this meanwhile, they can learn from their mistakes. They can learn from their experiences and can avoid these mistakes in the longer run. AI will give ample time to developer to complete the coding and check the code before pushing the code to production. With the help of security testing, you can catch the security breaches. So, this will definitely help in getting rid of all the errors and making the security delivery pipeline very robust.

Conclusion

You can successfully implement AI in DevSecOps by integrating security from the beginning to the ending of the pipeline. You can even automate your security with the integration of AI and ML in DevSecOps. You should always try to implement vulnerability checks like OWASP Dependency check and discovery test. You can improve the consistency of the deployments. You can have in place some straight compliance which should be followed which increases traceability of the pipeline. So, try to adapt AI in DevSecOps and make your processes more security complaint. Your product would be delivered at a faster pace and the client will really be happy with this new advancement in DevSecOps. All the best!!

Similar Articles

Chatbot

In a world where customers are used to getting everything they need immediately, chatbots have already become a vital part of our daily lives. From paying utility bills to getting financial advice regarding important investments to interacting with favorite brands without browsing their websites

ETL data integration

ETL is Extract, Transform, Load has known to be the method of removing information from different databases, later operating on them as per the industry controls, stacking the adapted information inside the dissimilar data warehouse. ETL thus delivers in-depth analytics where it works depends on the essentiality of BI methods.

Various technology devices siting on a table.

Technology is present in every aspect of our lives in one way or another, and while this is a great thing, technology certainly doesn’t come cheap. We have everything from high-powered home tech items to small but mighty portable or even wearable tech that we have on hand at any given moment.

5 Most Common Causes of Data Breaches

Making difficult financial decisions is an inescapable part of running a modern-day business. That often requires making unwanted cuts and allocating funds towards aspects of your operations that might seem redundant at first.

IoT and the Role it Plays in Workforce Management

We do not have to tell you just how vital any company’s workforce is — after all, it is the workforce that gets everything done. Think of it as the organization’s spine, i.e., without it, one can not operate. Now that we agree about the role of the workforce let’s move on to its management.

Top 5 Reasons to Choose AngularJS Web Development

Today every business wants to make a strong online impression. To make your customers fall in love with your online business it is not enough to create an appealing website but you have to work hard to enhance your customers’ experience when they visit your online business

How Technologies Are Transforming the Logistics Industry

In recent years, the logistics industry has witnessed massive advancement due to emerging technologies. It has a major shift towards robotic warehouses and automates processes. However, with new opportunities, the logistics market has expanded its boundaries and improved in many aspects such as last-mile delivery and introduced better tracking tools. 

IoT Cyber security

No doubt, the Internet of Things (IoT) is one of the superior technologies in this era of digital transformation. For those who don’t know, IoT is the core technology platform behind smart devices, self-driving cars, and automated industrial units.

Artificial Intelligence

Today’s generation is a tech-savvy one. People are living in an advanced era where doing things manually is no longer part of the trend. While everything now has a touch of automation, Artificial Intelligence holds a very important place for computers and machines in human lives.