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GitHub Copilot Autofix

GitHub Copilot Autofix

On Wednesday, GitHub announced the general availability of Copilot Autofix, an AI-driven tool designed to identify and remediate software vulnerabilities. Originally unveiled in March and tested in public beta, Copilot Autofix integrates GitHub’s CodeQL scanning engine with GPT-4, heuristics, and Copilot APIs to generate code suggestions for developers. The tool provides prompts based on CodeQL analysis and code snippets, allowing users to accept, edit, or reject the suggestions. In a blog post, Mike Hanley, GitHub’s Chief Security Officer and Senior Vice President of Engineering, highlighted the challenges developers and security teams face in addressing existing vulnerabilities. “Code scanning tools can find vulnerabilities, but the real issue is remediation, which requires security expertise and time—both of which are in short supply,” Hanley noted. “The problem isn’t finding vulnerabilities; it’s fixing them.” According to GitHub, the private beta of Copilot Autofix showed that users could respond to a CodeQL alert and automatically remediate a vulnerability in a pull request in just 28 minutes on average, compared to 90 minutes for manual remediation. The tool was even faster for common vulnerabilities like cross-site scripting, with remediation times averaging 22 minutes compared to three hours manually, and SQL injection flaws, which were fixed in 18 minutes on average versus almost four hours manually. Hanley likened the efficiency of Copilot Autofix in fixing vulnerabilities to the speed at which GitHub Copilot, their generative AI coding assistant released in 2022, produces code for developers. However, there have been concerns that GitHub Copilot and similar AI coding assistants could replicate existing vulnerabilities in the codebases they help generate. Industry analyst Katie Norton from IDC noted that while the replication of vulnerabilities is concerning, the rapid pace at which AI coding assistants generate new software could pose a more significant security issue. Chris Wysopal, CTO and co-founder of Veracode, echoed this concern, pointing out that faster coding speeds have led to more software being produced and a larger backlog of vulnerabilities for developers to manage. Norton also emphasized that AI-powered tools like Copilot Autofix could help alleviate the burden on developers by reducing these backlogs and enabling them to fix vulnerabilities without needing to be security experts. Other vendors, including Mobb and Snyk, have also developed AI-powered autoremediation tools. Initially supporting JavaScript, TypeScript, Java, and Python during its public beta, Copilot Autofix now also supports C#, C/C++, Go, Kotlin, Swift, and Ruby. Hanley also highlighted that Copilot Autofix would benefit the open-source software community. GitHub has previously provided open-source maintainers with free access to enterprise security tools for code scanning, secret scanning, and dependency management. Starting in September, Copilot Autofix will also be made available for free to these maintainers. “As the global home of the open-source community, GitHub is uniquely positioned to help maintainers detect and remediate vulnerabilities, making open-source software safer and more reliable for everyone,” Hanley said. Copilot Autofix is now available to all GitHub customers globally. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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AI Infrastructure Flaws

AI Infrastructure Flaws

Wiz Researchers Warn of Security Flaws in AI Infrastructure Providers AI infrastructure providers like Hugging Face and Replicate are vulnerable to emerging attacks and need to strengthen their defenses to protect sensitive user data, according to Wiz researchers. AI Infrastructure Flaws come from security being an afterthought. During Black Hat USA 2024 on Wednesday, Wiz security experts Hillai Ben-Sasson and Sagi Tzadik presented findings from a year-long study on the security of three major AI infrastructure providers: Hugging Face, Replicate, and SAP AI Core. Their research aimed to assess the security of these platforms and the risks associated with storing valuable data on them, given the increasing targeting of AI platforms by cybercriminals and nation-state actors. Hugging Face, a machine learning platform that allows users to create models and store datasets, was recently targeted in an attack. In June, the platform detected suspicious activity on its Spaces platform, prompting a key and token reset. The researchers demonstrated how they compromised these platforms by uploading malicious models and using container escape techniques to break out of their assigned environments, moving laterally across the service. In an April blog post, Wiz detailed how they compromised Hugging Face, gaining cross-tenant access to other customers’ data and training models. Similar vulnerabilities were later identified in Replicate and SAP AI Core, and these attack techniques were showcased during Wednesday’s session. Prior to Black Hat, Ben-Sasson, Tzadik, and Ami Luttwak, Wiz’s CTO and co-founder, discussed their research. They revealed that in all three cases, they successfully breached Hugging Face, Replicate, and SAP AI Core, accessing millions of confidential AI artifacts, including models, datasets, and proprietary code—intellectual property worth millions of dollars. Luttwak highlighted that many AI service providers rely on containers as barriers between different customers, but warned that these containers can often be bypassed due to misconfigurations. “Containerization is not a secure enough barrier for tenant isolation,” Luttwak stated. After discovering these vulnerabilities, the researchers responsibly disclosed the issues to each service provider. Ben-Sasson praised Hugging Face, Replicate, and SAP for their collaborative and professional responses, and Wiz worked closely with their security teams to resolve the problems. Despite these fixes, Wiz researchers recommended that organizations update their threat models to account for potential data compromises. They also urged AI service providers to enhance their isolation and sandboxing standards to prevent lateral movement by attackers within their platforms. The Risks of Rapid AI Adoption The session also addressed the broader challenges associated with the rapid adoption of AI. The researchers emphasized that security is often an afterthought in the rush to implement AI technologies. “AI security is also infrastructure security,” Luttwak explained, noting that the novelty and complexity of AI often leave security teams ill-prepared to manage the associated risks. Many organizations testing AI models are using unfamiliar tools, often open-source, without fully understanding the security implications. Luttwak warned that these tools are frequently not built with security in mind, putting companies at risk. He stressed the importance of performing thorough security validation on AI models and tools, especially given that even major AI service providers have vulnerabilities. In a related Black Hat session, Chris Wysopal, CTO and co-founder of Veracode, discussed how developers increasingly use large language models for coding but often prioritize functionality over security, leading to concerns like data poisoning and the replication of existing vulnerabilities. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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