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AI Code Generation and Cybersecurity

There is no denying that AI (Artificial Intelligence) does have all the right attributes that can revolutionize the way we write codes or computer programs.

But unfortunately, these codes are prone to different cyber risks including hacking, ransomware, etc. as hackers and other cyber terrorists can hack such codes and inject malware into computer systems easily.

Therefore, companies or organizations need to invest in AI (Artificial Intelligence) to secure these crucial codes. By doing so, they can also  enhance the effectiveness of their cybersecurity strategies considerably.

For that reason, they can rely on a quality VPN that ensures cybersecurity and protects AI (Artificial Intelligence) against various cyber threats appropriately.

Coming back to the point, continue reading this post to know what AI Code generation is all about and how it can improve cybersecurity overall.

 

What is AI code generation all about?

Fortunately, recent developments in the domain of Machine Learning (ML) and Artificial Intelligence (AI) have made the AI code generation task a lot easier.

AI code generation or machine assisted pair programming is a process in which systems receive instructions from humans at the time of code creation. Moreover, they can complete portions of codes created by humans automatically.

The good thing about this whole scenario is that these systems are capable of producing thousands of AI codes as and when needed. Furthermore, with each new code generation, these systems are innovating themselves accordingly.

For example, GitHub has recently taken a huge advantage from the core concepts of AI code generation. The company has developed an artificial intelligence tool in collaboration with OpenAI by the name of Copilot.

This impressive tool helps Visual Studio Code users such as Neovim and JetBrains by autocompleting code without any hassle. The ML model used in Copilot known as Codex is based on GPT-3.

GPT-3 is a popular large language model that helps produce human-like text code. As a result, developers or programmers can create codes using Copilot in a short time period.

There is a strong likelihood that these systems will play a crucial role in the success of the tech economy in the future. Similarly, they will also help businesses that are facing shortage in terms of engineering workforce in the coming years.

 

How can AI code generation concept improve cybersecurity overall?

As far as the effectiveness of AI-generated code is concerned, developers or programmers can get various security benefits in reality. For instance, when they create codes using AI-assisted software, they can ensure that these created codes are more robust and better tested too.

Besides, these codes are audited by humans and automated tools both. Thus, different defects surrounding these codes can be easily identified and rectified in the first place.

In addition to this, they can again benefit from AI systems when it comes to performing these automated testing processes as they can complete such activity with more accuracy and within the stipulated time frame.

Apart from this, the AI code generation process may help organizations reduce the chances of attack surface through the code deduplication method.

Through code deduplication, the overall complexity of the final product i.e. AI-generated code can be minimized to a certain extent.

Therefore, companies or businesses can depend quite heavily on AI-generated codes when improving their cybersecurity practices and their impacts considerably.

 

Best cybersecurity practices to secure AI code generation process (Artificial Intelligence)

Companies or businesses can follow different cybersecurity practices to safeguard their AI-assisted code generation process comprehensively. These cybersecurity practices include:

  • Encrypt the official data including all the official communications using various encryption software
  • Install antivirus and antimalware software on all official devices or systems
  • Include cybersecurity professionals such as ethical hackers in existing cybersecurity teams that can identify numerous security threats related to AI code generation process proactively
  • Update all your workplace devices including desktops, laptops, tablets, and other IoT devices on a regular basis
  • Apply MFA ( multi-factor authentication process) on all your official devices to secure them from unauthorized access
  • There is no harm of providing advanced cybersecurity training to your workforce that helps them protect their official devices or systems against hacking, phishing, ransomware, data theft, and other privacy risks as they will not open any suspicious emails or links provided in such emails in the form of attachment

 

Wrapping Things Up

AI code generation is a new concept yet more effective in many ways. Through the said concept, developers or programmers can create codes in a timely manner.

That said, the AI code generation process needs to be protected all the time. Otherwise, it can hamper users’ privacy a great deal in case hackers or other cybercriminals hack AI systems, their data and their communications to fulfill their illicit objectives.

Therefore, companies or organizations need to beef up their existing cybersecurity policies if they want to protect their digital presence and business investments against different cyber risks like hacking, malware, phishing, etc.

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