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GitHub's ModernBERT secret scanner cuts post-push time by 86% and lowers false positives
GitHub deployed a new model that reduces median post-push scan execution time by 86 percent and improves detection quality for generic secrets.
Everything TechSec Feed has reported about GitHub: 3 stories, newest first. Part of our AI coverage.
GitHub deployed a new model that reduces median post-push scan execution time by 86 percent and improves detection quality for generic secrets.
GitHub explains how teams can use custom instructions, agents and MCP servers to align AI coding assistance with internal standards and external tools.
The company shares new findings on open mathematical problems, including formalized proofs generated by its internal frontier model, to advance AI research.