GitHub Advanced Security now allows developers to scan code for tokens, keys, and other security secrets as they push the code to a repository. GitHub has updated its Advanced Security service with a “push protection” capability. The new feature scans code for secrets such as access tokens, API keys, and other credentials as developers push the code to a repository, and blocks the push if a secret is identified. With push protection, announced April 4, GitHub Advanced Security customers can guard against leaks by scanning for secrets before a git push is accepted. Available for enterprise accounts, GitHub Advanced Security provides services such as code scanning, dependency review, and secret scanning, which helps to ensure that secrets are not exposed in a repository. By scanning code for secrets, developers can proactively prevent leaks of credentials and safeguard against breaches attributed to credential misuse. With GitHub Advanced Security’s push protection, secret scanning is embedded in the developer workflow. To enable this without disrupting development productivity, push protection only supports token types that can be accurately detected. GitHub said that its secret scanning feature has thus far detected more than 700,000 secrets across thousands of private repositories. Related content feature 14 great preprocessors for developers who love to code Sometimes it seems like the rules of programming are designed to make coding a chore. Here are 14 ways preprocessors can help make software development fun again. By Peter Wayner Nov 18, 2024 10 mins Development Tools Software Development feature Designing the APIs that accidentally power businesses Well-designed APIs, even those often-neglected internal APIs, make developers more productive and businesses more agile. By Jean Yang Nov 18, 2024 6 mins APIs Software Development news Spin 3.0 supports polyglot development using Wasm components Fermyon’s open source framework for building server-side WebAssembly apps allows developers to compose apps from components created with different languages. By Paul Krill Nov 18, 2024 2 mins Microservices Serverless Computing Development Libraries and Frameworks news Go language evolving for future hardware, AI workloads The Go team is working to adapt Go to large multicore systems, the latest hardware instructions, and the needs of developers of large-scale AI systems. By Paul Krill Nov 15, 2024 3 mins Google Go Generative AI Programming Languages Resources Videos