Tag: Large Language Models
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 ...
MIT Researchers Propose a New Way to Build Software That Actually Makes Sense
Tom Smith | | AI coding tools, AI-assisted development, clean code architecture, code maintainability, code visibility, concept catalogs, devops automation, DevOps reliability, Large Language Models, LLM software development, modular software design, software engineering innovation, software transparency, system synchronizationMIT researchers propose a new framework to make software clearer and safer by organizing code into “concepts” and “synchronizations” for better visibility ...
Kong Adds MCP Support to Tool for Designing and Testing APIs
Mike Vizard | | AI APIs, AI security, Anthropic, API debugging, API management, API observability, API testing, compliance, devops, Git Sync, Insomnia 12, Insomnia MCP support, Kong Inc, Large Language Models, LLM integration, Marco Palladino, MCP, MCP clients, MCP servers, Model Context Protocol, open source tools, RBACKong Inc. has integrated Model Context Protocol (MCP) support into Insomnia 12, enabling DevOps teams to design, test, and secure MCP clients and servers for AI-driven APIs—reducing misconfigurations and enhancing compliance in ...
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 ...
AI-Generated Code Packages Can Lead to ‘Slopsquatting’ Threat
Jeff Burt | | AI code generation, AI hallucinations, Large Language Models, slopsquatting, software supply chain risksAI hallucinations – the occasional tendency of large language models to respond to prompts with incorrect, inaccurate or made-up answers – have been an ongoing concern as the enterprise adoption of generative ...
How to Extend an Application Security Program to AI/ML Applications
Gopinath Rebala | | AI/ML Applications, Application Security Program, appsec, Data Security Model, Large Language Models, LLMs, Runtime Environments, Security Risks, supply chain security, Third-party DependenciesWhile various AI/ML application risks are like traditional application security risks and can be protected using the same tools and platforms, runtime security for the new models requires new methods of securing ...
