Copilot | Breaking Cybersecurity News | The Hacker News

Imagine a world where the software that powers your favorite apps, secures your online transactions, and keeps your digital life could be outsmarted and taken over by a cleverly disguised piece of code. This isn't a plot from the latest cyber-thriller; it's actually been a reality for years now. How this will change – in a positive or negative direction – as artificial intelligence (AI) takes on a larger role in software development is one of the big uncertainties related to this brave new world. In an era where AI promises to revolutionize how we live and work, the conversation about its security implications cannot be sidelined. As we increasingly rely on AI for tasks ranging from mundane to mission-critical, the question is no longer just, "Can AI  boost cybersecurity ?" (sure!), but also "Can AI  be hacked? " (yes!), "Can one use AI  to hack? " (of course!), and "Will AI  produce secure software ?" (well…). This thought leadership article is about the latter. Cydrill  (a

GitHub on Wednesday announced that it's making available a feature called code scanning autofix in public beta for all  Advanced Security customers  to provide targeted recommendations in an effort to avoid introducing new security issues. "Powered by  GitHub Copilot  and  CodeQL , code scanning autofix covers more than 90% of alert types in JavaScript, Typescript, Java, and Python, and delivers code suggestions shown to remediate more than two-thirds of found vulnerabilities with little or no editing," GitHub's Pierre Tempel and Eric Tooley  said . The capability,  first previewed  in November 2023, leverages a combination of CodeQL, Copilot APIs, and OpenAI GPT-4 to generate code suggestions. The Microsoft-owned subsidiary also said it plans to add support for more programming languages, including C# and Go, in the future. Code scanning autofix is designed to help developers resolve vulnerabilities as they code by generating potential fixes as well as providing

The introduction of Open AI's ChatGPT was a defining moment for the software industry, touching off a GenAI race with its November 2022 release. SaaS vendors are now rushing to upgrade tools with enhanced productivity capabilities that are driven by generative AI. Among a wide range of uses, GenAI tools make it easier for developers to build software, assist sales teams in mundane email writing, help marketers produce unique content at low cost, and enable teams and creatives to brainstorm new ideas.  Recent significant GenAI product launches include Microsoft 365 Copilot, GitHub Copilot, and Salesforce Einstein GPT. Notably, these GenAI tools from leading SaaS providers are paid enhancements, a clear sign that no SaaS provider will want to miss out on cashing in on the GenAI transformation. Google will soon launch its SGE "Search Generative Experience" platform for premium AI-generated summaries rather than a list of websites.  At this pace, it's just a matter of a short time befo

GitHub on Tuesday launched a technical preview of a new AI-powered  pair programming  tool that aims to help software developers write better code across a variety of programming languages, including Python, JavaScript, TypeScript, Ruby, and Go. Copilot , as the code synthesizer is called, has been developed in collaboration with  OpenAI , and leverages Codex, a new AI system that's trained on publicly available source code and natural language with the goal of translating comments and code written by a user into auto-generated code snippets. "GitHub Copilot draws context from the code you're working on, suggesting whole lines or entire functions," GitHub CEO Nat Friedman  said  in a blog post. "It helps you quickly discover alternative ways to solve problems, write tests, and explore new APIs without having to tediously tailor a search for answers on the internet." Despite its function as an AI-based autocomplete for writing boilerplate code, the Micr