AI Security
Code injection risks in GenAI-generated code
Nearly 40% of GitHub Copilot's suggested programs contain exploitable vulnerabilities, and 19.7% of AI-generated code samples reference packages that don't exist.
Jul 8, 20267 min read
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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.
Jul 8, 20267 min read
AI Security
AI Red Teaming vs. AI-SPM: Why You Need Both
OWASP's 2025 LLM Top 10 and MITRE ATLAS both treat adversarial testing and posture scanning as separate disciplines — most AI programs still run only one.
Jul 8, 20265 min read
AI Security
Where AI actually helps AppSec — and where it quietly makes things worse
One 2025 benchmark found an LLM filter cut Semgrep's false positives by 88.6% — while a separate study found GPT-4 alone flagging vulnerabilities was wrong more often than right.
Jul 8, 20267 min read
AI Security
The Security Pitfalls Hiding in AI-Generated Code
A 2021 NYU study found roughly 40% of Copilot completions on security-relevant prompts contained exploitable flaws. Here's a field guide to catching them.
Jul 8, 20266 min read
AI Security
Why AI-generated code quality problems compound into security risk
Developers using AI coding assistants wrote less secure code in 4 of 5 tasks in a 2023 Stanford study — and were more confident it was safe.
Jul 8, 20267 min read
AI Security
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.
Jul 8, 20267 min read
AI Security
How to validate AI-generated autofix suggestions before you merge them
319 LLM patches for 64 real CVEs were graded in 2026: only 24.8% were both secure and functional. Speed without validation just merges bugs faster.
Jul 8, 20266 min read
AI Security
AI-assisted vulnerability remediation patterns: what to verify before you merge
GitHub reports its Copilot Autofix suggestions resolve two-thirds of flagged vulnerabilities with little or no editing — but the other third is where merges go wrong.
Jul 8, 20267 min read
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