Tag: AI attack surface
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 ...
The MLSecOps Era: Why DevOps Teams Must Care about Prompt Security
Alex Vakulov | | AI attack surface, AI chaos testing, AI Governance, AI supply chain risk, autonomous agent security., CI/CD pipeline security, CodeShield, DevOps AI, ISO 42001, LlamaFirewall, LLM security, MLSecOps, model drift, NIST AI RMF, prompt injection, prompt validation, PromptGuard, PromptOps, RBAC for AI, red team AI, runtime monitoring, secure AI pipelinesAI-driven software delivery introduces new risks, especially prompt manipulation within CI/CD workflows. This article details the emerging fields of PromptOps and MLSecOps and offers practical strategies for securing prompts, models, and pipelines ...
