GitGuardian’s Post

GitHub foresees the pivotal role of AI in the software development lifecycle, including security. Over the past year, the company has incorporated over 70 features into GitHub advanced security. However, at GitHub Universe 2023, held in November, it announced the addition of generative AI to the mix. The company now believes security vulnerabilities can be identified at the very stage when the code is being written. By leveraging an LLM, GitHub now not only identifies potential vulnerabilities but also provides developers with secure code suggestions from the start. “With auto fix, we’re going to suggest the fix in the pull request for them. So the developers will not just see the alert, but also a suggested fix powered by AI right there,” said Jacob DePriest, VP and deputy chief security officer at GitHub. These are not ordinary fixes. They are concise, actionable suggestions for swiftly comprehending and addressing vulnerabilities. Developers can resolve issues faster and prevent new vulnerabilities from creeping into your codebases. Depriest said GitHub has already seen great success with code scanning’s current fix rate. “This implies that when developers receive an alert while working, they address the issue approximately 50% of the time before it reaches production, which is huge. With the new AI-powered code scanning auto fix feature, developers can build on an already strong fix rate.” #github #cybersecurity #ai

Developers, are you using GitHub Copilot to boost your productivity? ⚡️While it's a powerful tool, a recent study by Snyk reveals a hidden danger: Copilot can amplify existing security vulnerabilities in your code. Read more about the findings in this article from InfoWorld. https://bit.ly/3wks9KX

GitHub's new Copilot Autofix feature has been shown to triple the speed of vulnerability remediation in coding. This tool leverages AI to help developers identify and fix security flaws more efficiently. By streamlining the remediation process, Copilot Autofix aims to enhance code security and reduce potential risks. This advancement marks a significant step forward in the use of AI for secure software development. https://lnkd.in/g5zqtExm #GitHub #CopilotAutofix #AIinTech #CodeSecurity #VulnerabilityRemediation #AIForGood #SoftwareDevelopment #TechInnovation #Cybersecurity #DevTools #UnderstandingEnterpriseTech #EnterpriseTechnologyNow #EnterpriseTechnologyToday

Good read on assessing AI risks on a useful capability to increase performance and reduce security risk too (potentially of course your mileage may vary). But I recommend always considering the risk too of not adopting. One could focus all day long on the downside risks and miss the upside benefit. https://lnkd.in/epBvVUVD #AI #development #devops #devsecops #cybersecurity #informationsecurity

GitHub Copilot might suggest insecure code if your existing code has security issues. In this post, we’ll show how Copilot can replicate existing security issues in your code. It's important to be cautious when using Copilot to avoid potential security vulnerabilities in your code. #CodeSecurity #Securityawarness

🔐 Strengthening code security is imperative for enterprises! Recent findings by GitGuardian reveal a concerning trend – even developers from major companies with robust security teams unintentionally expose credentials in publicly accessible code. At Strong Network, we understand the importance of safeguarding enterprise data and source code. Our secure CDEs (Container Development Environments) empower developers to work seamlessly while fortifying information security. Discover how we help enterprises achieve regulatory compliance and protect against threats. 💼💻🛡️ Read more about the alarming discoveries: https://lnkd.in/dvD378xv For more info about securing the development environment, check out our podcast with GitGuardian here: https://lnkd.in/d5tJxJNt #EnterpriseSecurity #CodeSecurity #DevOps #SecureDevelopment #StrongNetwork #CDE #InfoSec

Interesting capability, for sure, it's not covering it all, and not covering all languages, but yet, it should help enhance the situation "GitHub’s new AI-powered tool auto-fixes vulnerabilities in your code" Now, what part of it is based on your stolen content in the cloud ? Where are the best practices coming from ? What copyright and stolen material are you embedding in your code, when you follow these recommendation ? How far is that not injected unexpected behavior (other bugs and vulnerabilities), is this going to help your quality overtime, or make dev team lazy ? Things are not clear at this point. All for security by design, but, it should be understood, because otherwise, it might backfire. connected=hacked public cloud = public data #cybersecurity #github https://lnkd.in/g8uaFxKQ

A good use of AI but I will always want the human factor to play a role in security. I want AI and human to work side by side to ensure security

GitHub has officially launched Copilot Autofix in GitHub Advanced Security (GHAS), bringing AI-powered remediation to developers. Copilot Autofix identifies and explains code vulnerabilities, then suggests solutions, making it easier and faster for developers to secure their code. Find more details here https://lnkd.in/dy9F629i #vulnerabilities #GenerativeAI #AI

Be careful of what you clone from Github. GitHub is facing an automated onslaught, with millions of cloned repositories contaminated with harmful code. Due to advanced tactics and social engineering, this specific assault appears to be exceptionally challenging to halt. #tech #data #hack #informationsecurity #cybersecurity #code #development #hackers https://lnkd.in/dReBbwJK