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How GitHub secures open source software
GitHub works hard to secure the open source software you use. We provide businesses with best practices to learn and leverage across their workflows. Download this PDF Whitepaper to learn more.
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What is AI code generation?
AI code generation is the use of machine learning models to write code based on input that describes what the code should do. It helps to optimize the software development process by using natural language and code suggestions to write code quickly and accurately.
What is application security and how does it work?
Application security, sometimes shortened to AppSec, refers to the security measures used to protect software from unauthorized access, use, disclosure, disruption, modification, or destruction. The practice of AppSec implements safeguards and controls to protect software from cyberthreats, and to ensure the confidentiality, integrity, and availability of the application and its data.
Application security testing
Application security testing (AST) is the process of making applications more resilient to security threats by evaluating the application to identify potential vulnerabilities that can be exploited. Although organizations have invested billions of dollars into application security, web applications are still vulnerable to a range of cyberattacks. To keep software safe, it’s important to use application security testing tools.
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7 strategies for end-to-end CI/CD governance
No two CI/CD governance models are built the same. That’s because each model reflects the particular needs, regulations, compliance standards, and industry requirements of the organization it serves.
Developer productivity and satisfaction: How generative AI is making a difference
Increasing developer productivity starts with having tools that can help them code faster, stay in the flow, and make meaningful progress on what matters most: building great software.
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