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GitHub, with Microsoft Applied Sciences, introduced an AI-powered ModernBERT classifier that detects hidden passwords before code is pushed, expanding push protection beyond known token patterns.
Summary
GitHub says it checks batches of possible secrets in under two milliseconds and could more than double the number of secrets prevented.
This is a brief wire summary, the full story (linked below) has the complete details.
KazaSec's take
AI-related security incidents are a genuinely new category, prompt injection, model manipulation, and data leakage through an LLM integration don't map cleanly onto traditional application security testing, and are worth assessing deliberately rather than assuming existing controls already cover them.
Coverage details
We've archived 433 other articles touching the same topic (cyber security news, github, cyber security) , see the full security news archive.
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