Tag: AI-generated code
Surprise! Everybody Uses AI Tools for Software Development, Few Do So Securely
Teri Robinson | | AI security, AI-generated code, appsec, code security automation, Dependency Management, devsecops, SBoM, secure coding, software supply chain riskAI is generating code faster than teams can secure it, widening software supply chain risk and exposing major gaps in AppSec and governance ...
Code Quality and Security Risks of AI-Generated Code
Joydip Kanjilal | | AI attack surface, AI code security, AI coding assistants, AI development tools, AI model limitations, AI security challenges, AI training data vulnerabilities, AI-generated code, AI-powered development risks, automated code review, ChatGPT code generation, CI/CD security scanning, code quality risks, code security best practices, dependency risks, developer awareness, GitHub Copilot risks, hallucinated code, human-led code review, inefficient algorithms, insecure AI code, insecure code patterns, poor code maintainability, secure coding practices, software development security, spaghetti code, technical debt from AI toolsAI-powered tools and coding assistants have become popular and widely used among software developers for several reasons. They promise to deliver not only speed and comfort but also a tool for filling ...
JFrog Adds Ability to Track Usage of AI Coding Tools
Mike Vizard | | AI API management, AI code auditing, AI coding tools, AI compliance tracking, AI Governance, AI in DevOps, AI model inventory, AI risk mitigation, AI-generated code, application security, code risk detection, devsecops, Large Language Models, LLM security, MLOps, SCA, secure coding practices, Shadow AI detection, software composition analysis, software provenance, Software Supply Chain Security, software vulnerabilities, source code scanningJFrog introduces AI-Generated Code Detection and Shadow AI Detection tools to identify AI-created code, track model usage, and enhance DevSecOps governance across software supply chains ...
Sonar Previews Service to Improve Quality of AI Generated Code
Mike Vizard | | AI code quality, AI code review, AI code security, AI model training, AI-generated code, bug reduction, code vulnerabilities, cybersecurity in AI, devsecops, Large Language Models, reinforcement learning, secure coding, software development, Sonar platform, SonarSweepSonar’s SonarSweep improves AI-generated code by reducing bugs and vulnerabilities, helping organizations train more reliable AI models ...
Can Vibe Coding Work on an Enterprise Level?
Armelle Dawson | | AI coding tools, AI productivity tools, AI-generated code, enterprise AI coding, enterprise AI governance, low-code AI apps, slopsquatting risks, vibe coding, vibe coding risks, vibe coding securityVibe coding promises AI-generated apps in seconds, but is it enterprise-ready? Explore risks, governance needs, and productivity potential ...
Reality Check: Current State of AI Code Generation Tools
AI code generation tools show promise but face real-world challenges. Analysis reveals the current state of the technology and what it means for development teams ...
How CIOs can Implement and Execute an Effective AI Coding Strategy
With software more critical than ever to overall business success, organizations need to implement the right risk management strategy to adopt innovation and positively impact productivity through AI while maintaining safety and ...
Mitigating Risk in a World of AI-Generated Code
Tools and processes to stress test the code and reduce risk with software deployments are critical for achieving success in AI coding ...
