Tag: AI code security

Discover why AI-generated code requires a 'guilty until proven secure' policy. Learn how to build a zero-trust framework for teams, balancing speed with security.

Explore the security risks of AI-generated code in 2026. Learn about common vulnerabilities like SQL injection and hardcoded credentials, and discover mitigation strategies using SAST tools and the EU AI Act.

Explore key vibe coding adoption metrics, tool comparisons, and 2025 industry statistics. Learn about GitHub Copilot, Cursor, and security risks shaping the future of software development.

Learn how to use secure prompting to make AI-generated code safer. Discover proven templates, rules files, and techniques that reduce vulnerabilities by up to 68% in vibe coding workflows.

Recent-posts

Deduplication Strategies for LLM Training Data: Exact, Fuzzy, and Semantic

Deduplication Strategies for LLM Training Data: Exact, Fuzzy, and Semantic

Sep, 5 2026

Vibe Coding Role Assignment: Senior Architect vs Junior Developer Prompts

Vibe Coding Role Assignment: Senior Architect vs Junior Developer Prompts

Sep, 27 2026

Pretraining Objectives in Generative AI: Masked Modeling, Next-Token Prediction, and Denoising

Pretraining Objectives in Generative AI: Masked Modeling, Next-Token Prediction, and Denoising

Mar, 8 2026

Communicating Governance Without Killing Velocity: Dos and Don'ts for Platform Teams

Communicating Governance Without Killing Velocity: Dos and Don'ts for Platform Teams

Jun, 18 2026

Grounding Reasoning with External Verifiers in LLMs: Stopping Hallucinations

Grounding Reasoning with External Verifiers in LLMs: Stopping Hallucinations

Apr, 27 2026