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GitHub has deployed a specialized ModernBERT classifier to detect hidden credentials in code during the push process, moving beyond simple pattern matching to analyze semantic context within surrounding code. This tool addresses the security challenges posed by increasing AI agent usage in software development by filtering secrets faster than traditional scanners while maintaining high precision.
Source coveringCybersecurity News
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

GitHub AI Can Spot Passwords Hidden in Code Before Developers Push Them

Cybersecurity News3 min read

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. GitHub says it checks batches of possible secrets in under two milliseconds and could more than double the number of secrets prevented. Announced on October 7, the feature targets a […] The post GitHub AI Can Spot Passwords Hidden in Code Before Developers Push Them appeared first on Cyber Security News.

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. GitHub says it checks batches of possible secrets in under two milliseconds and could more than double the number of secrets prevented. Announced on October 7, the feature…

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