• Seattle Skeptics on AI
Seattle Skeptics on AI

Tag: GitHub Copilot risks

Security Vulnerabilities and Risk Management in AI-Generated Code
Security Vulnerabilities and Risk Management in AI-Generated Code

Tamara Weed, Feb, 18 2026

AI-generated code introduces serious security risks like hardcoded credentials and SQL injection-but the real danger is blind trust. Learn how to detect, prevent, and manage these vulnerabilities with practical tools and policies.

Categories:

Science & Research

Tags:

AI code security AI-generated vulnerabilities GitHub Copilot risks SAST tools hardcoded credentials AI

Recent post

  • Setting Expectations Responsibly: User Education on LLM Limitations
  • Setting Expectations Responsibly: User Education on LLM Limitations
  • Efficient Sharding and Data Loading for Petabyte-Scale LLM Datasets
  • Efficient Sharding and Data Loading for Petabyte-Scale LLM Datasets
  • Agentic Behavior in Large Language Models: Planning, Tools, and Autonomy
  • Agentic Behavior in Large Language Models: Planning, Tools, and Autonomy
  • Generative AI in Life Sciences: Protein Design and Literature Reviews
  • Generative AI in Life Sciences: Protein Design and Literature Reviews
  • Cybersecurity Standards for Generative AI: NIST, ISO, and SOC 2 Controls Explained
  • Cybersecurity Standards for Generative AI: NIST, ISO, and SOC 2 Controls Explained

Categories

  • Science & Research
  • Enterprise Technology

Archives

  • July 2026
  • June 2026
  • May 2026
  • April 2026
  • March 2026
  • February 2026
  • January 2026
  • December 2025
  • November 2025
  • October 2025
  • September 2025
  • August 2025

Tags

vibe coding prompt engineering large language models generative AI Large Language Models AI governance transformer architecture AI coding tools LLM security data privacy AI compliance AI development AI coding assistants responsible AI prompt injection LLM optimization AI coding LLM training transformer models AI code generation

© 2026. All rights reserved.