Tag: AI-generated code vulnerabilities
Survey Sees AI Coding Creating Need for More Software Engineers
Mike Vizard | | agentic AI, AI compliance challenges, AI in DevOps, AI in software development, AI tools adoption, AI-generated code vulnerabilities, developer upskilling, DevOps productivity, DevSecOps challenges, GitLab DevSecOps survey, platform engineering, SDLC automation, software engineer demand, technical debt from AI, vibecoding risksA GitLab survey of 3,266 DevSecOps professionals shows AI is boosting code creation but increasing the need for skilled engineers, compliance challenges and human oversight ...
Survey Surfaces Raft of AI Coding Issues Involving Embedded Systems
Mike Vizard | | AI coding assistants, AI security risks, AI-generated code vulnerabilities, Black Duck Software survey, C++ embedded programming, Censuswide research, cybersecurity for embedded systems, developer vs management perspectives., devsecops, embedded systems security, open source AI models, open source license compliance, Python in embedded systems, Software Bill of Materials (SBOM), software composition analysis (SCA)A new survey of 785 development and security professionals reveals that 89% of organizations are using AI coding assistants for embedded systems, but concerns over security, licensing risks, and governance remain. Python ...
Coding at the Speed of AI: Innovation, Vulnerability, and the GenAI Paradox
John Trest | | AI code review, AI Governance, AI hallucinations, AI in DevOps, AI in software development, AI security best practices, AI-generated code vulnerabilities, ChatGPT, cross-site scripting, developer training, devsecops, EU AI Act, GenAI security risks, generative AI, GitHub Copilot, hardcoded credentials, insecure deserialization, Log4Shell AI reproduction, Replit Ghostwriter, secure coding, U.S. Executive Order 14110Generative AI accelerates software delivery but also reintroduces vulnerabilities, making secure coding practices, oversight, and developer training essential for safe adoption ...
