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Can Large Language Models Find And Fix Vulnerable Software?

Noever, David

arXiv.org Artificial Intelligence

In this study, we evaluated the capability of Large Language Models (LLMs), particularly OpenAI's GPT-4, in detecting software vulnerabilities, comparing their performance against traditional static code analyzers like Snyk and Fortify. Our analysis covered numerous repositories, including those from NASA and the Department of Defense. GPT-4 identified approximately four times the vulnerabilities than its counterparts. Furthermore, it provided viable fixes for each vulnerability, demonstrating a low rate of false positives. Our tests encompassed 129 code samples across eight programming languages, revealing the highest vulnerabilities in PHP and JavaScript. GPT-4's code corrections led to a 90% reduction in vulnerabilities, requiring only an 11% increase in code lines. A critical insight was LLMs' ability to self-audit, suggesting fixes for their identified vulnerabilities and underscoring their precision. Future research should explore system-level vulnerabilities and integrate multiple static code analyzers for a holistic perspective on LLMs' potential.


Data Engineer

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Every day, the world gets more digital thanks to tens of millions of developers building the future faster than ever. But with exponential growth comes exponential risk, as outnumbered security teams struggle to secure mountains of code. This is where Snyk (pronounced "sneak") comes in. Snyk is a developer security platform that makes it easy for development teams to find, prioritize, and fix security vulnerabilities in code, dependencies, containers, and cloud infrastructure -- and do it all right from the start. Snyk is on a mission to make the world a more secure place by empowering developers to develop fast and stay secure.


Senior Analytics Engineer

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We're looking for a senior analytics engineer to join our new group to help us build the future of customer-facing data products at Snyk. We care deeply about the warm, inclusive environment we've created and we value diversity - we welcome applications from those typically underrepresented in tech. If you like the sound of this role, but are not totally sure whether you're the right person, do apply anyway:) Snyk's mission is to help developers use open source code and stay secure. The use of open source is booming, but security is a key concern (https://snyk.io/stateofossecurity/). Snyk's unique product enables developers and enterprise security teams to continuously find & fix vulnerable dependencies without slowing down, offering seamless integration into Dev, DevOps and DevSecOps workflows. We care deeply about the quality and usefulness of the tools we develop, always focusing on our customers and users.


Snyk raises $150 million at $1 billion valuation for AI that protects open source code

#artificialintelligence

Snyk, a cybersecurity platform that helps developers find vulnerabilities in their open source applications, has raised $150 million in a round of funding led by New York-based private equity firm Stripes, with participation from Salesforce Ventures, Coatue, Tiger Global, BoldStart, Trend Forward, and Amity. This takes Snyk's total funding to $250 million from backers including Alphabet's GV and Accel, including a $22 million series B round in 2018 and a $70 million follow-on round just a few months ago. A Snyk spokesperson said that the company is now worth more than $1 billion, which is at least double the $500 million it was valued at back in September. Founded in 2015, London-based Snyk targets developers -- rather than cybersecurity personnel -- to help them find and fix flaws in their source code, as well as their containers and Kubernetes applications. The developer connects Snyk to a code repository in the likes of GitHub, GitLab, or Bitbucket, and Snyk then scans for vulnerabilities (or license violations), providing a description of the problem, noting where the flaw lies in the code, issuing a severity rating, and even suggesting a fix.


Global Big Data Conference

#artificialintelligence

Snyk, a cybersecurity platform that helps developers find vulnerabilities in their open source applications, has raised $150 million in a round of funding led by New York-based private equity firm Stripes, with participation from Salesforce Ventures, Coatue, Tiger Global, BoldStart, Trend Forward, and Amity. This takes Snyk's total funding to $250 million from backers including Alphabet's GV and Accel, including a $22 million series B round in 2018 and a $70 million follow-on round just a few months ago. A Snyk spokesperson said that the company is now worth more than $1 billion, which is at least double the $500 million it was valued at back in September. Founded in 2015, London-based Snyk targets developers -- rather than cybersecurity personnel -- to help them find and fix flaws in their source code, as well as their containers and Kubernetes applications. The developer connects Snyk to a code repository in the likes of GitHub, GitLab, or Bitbucket, and Snyk then scans for vulnerabilities (or license violations), providing a description of the problem, noting where the flaw lies in the code, issuing a severity rating, and even suggesting a fix.