github-copilot
Safeguard articles tagged "github-copilot" — guides, analysis, and best practices for software supply chain and application security.
14 articles
Concrete guardrails for AI coding assistants
40% of Copilot-generated code contained CWE Top 25 flaws in a 2022 study. Here are the prompt, scanning, and review gates that actually stop AI-written risk.
The supply-chain and IP risk hiding inside AI coding assistants
GitHub has disclosed that Copilot suggestions match training-set code verbatim about 1% of the time — and a class action over it is still being argued in 2026.
AI Developer Tools: Weighing Productivity Against Security and IP Exposure
NYU found 40% of Copilot-generated code contained exploitable flaws; Samsung banned ChatGPT after three leaks in under 20 days. The productivity math still isn't simple.
Security Practices for GitHub Copilot and AI Coding Assistants
Copilot suggested 2,702 hardcoded secrets from just 900 prompts in one study, and at least 200 were live credentials — adoption without policy is a leak waiting to happen.
Securing AI coding assistants (Claude Code, Copilot, etc.)
AI coding assistants like Claude Code and Copilot introduce new supply chain risks. Here's what's actually going wrong and how to secure your pipeline.
GitHub Copilot code security: XSS vulnerabilities found in React
Copilot commonly suggests dangerouslySetInnerHTML and unsanitized DOM writes in React. Here's the data on AI-generated XSS risk and how to catch it.
How Copilot amplifies insecure codebases
Copilot writes ~46% of code where enabled, and studies show ~40% of its security-relevant suggestions are vulnerable. Here's the data on the risk.
5 best practices for adopting GitHub Copilot securely
GitHub Copilot has 1.3M+ paid seats. Five concrete, evidence-based practices for locking down content exclusion, licensing, code quality, and prompt injection risk.
AI Coding Assistant Security: 2026 Buyer Comparison
A security-focused buyer comparison of AI coding assistants in 2026: code quality risk, data exfiltration controls, license exposure, and policy enforcement.
Supply Chain Risks of AI Coding Assistants
Copilot, Cursor, and Claude Code change what enters your codebase and how. A practitioner's map of the real supply chain risks — hallucinated packages, rules-file injection, and unreviewed transitive trust.
GenAI Code Assistants and Package Hallucination: 2026 Update
LLM-suggested package names that do not exist are a registered attack vector in 2026. Here is where hallucination rates sit today and how to contain them.
Griffin AI vs GitHub Copilot for Vulnerability Fixing
GitHub Copilot suggests fixes. Griffin AI generates fix PRs with taint paths and disproof attached. The difference is review burden.