GitHub code scanning is intended to run only actionable security rules by default, to help developers remain focused on the task at hand and not become overwhelmed with linting suggestions.

Code hosting platform GitHub today launched new machine learning-based code scanning analysis features that will automatically discover more common security vulnerabilities before they end up in ...

Image: GitHub. Here, developers will be prompted to enable the CodeQL queries they want GitHub to use to scan their source code. To get users started on using Code Scanning, Gitub said its ...

GitHub has been hard at work lately as it looks to automate as much work as possible for its users. Besides automating flaw detection, it added a feature that will pretty much write the code for ...

“GitHub code scanning is a developer-first, GitHub-native approach to easily find security vulnerabilities before they reach production. We’re thrilled to announce the general availability of ...

Last year, GitHub acquired semantic code-scanning and security company Semmel. Now, the code-hosting company is integrating the latter’s features to provide in-built code-scanning.

GitHub has introduced AI autofix for code-scanning to address nearly two-thirds of vulnerabilities, representing a significant advancement in software development and cybersecurity.

By scanning code for secrets, ... GitHub said that its secret scanning feature has thus far detected more than 700,000 secrets across thousands of private repositories. Related content.

GitHub is already seeing improvements in code security on its platform. As part of a beta program that preceded today’s launch, GitHub helped developers find 20,000 bugs in 12,00 code repositories.

The code scanner is relatively simple in function. GitHub and its community have already added 2,000+ queries to automatically scan code in real-time and notify a developer that they’ve missed a ...