Community driven content discussing all aspects of software development from DevOps to design patterns. The key difference between a false positive and a false negative is that a false positive ...

Two researchers advocate for new AI-based measures not because they offer measurement free from error, but rather because they avoid specific problematic forms of error linked to overreliance on ...

FP Remover can understand code and identify false positives like a developer: it recognizes potential secrets that aren't actually secrets based on code-specific syntax or context understanding.

AI changed attacker economics. Recent Harvard research shows AI can fool over 50% of humans while cutting attack costs by 95% and increasing profitability up to 50-fold. Defender capabilities haven't ...

FIS is using AI and machine learning in new ways to speed up detection of emerging types of payment card fraud while reducing false positives. Banks rely on highly responsive fraud filters to alert ...