False Positives

False positives refer to incorrect or erroneous results that indicate a problem or condition when none actually exists, often occurring in testing, security, and data analysis. In the tech community, understanding and mitigating false positives is crucial for ensuring the accuracy and reliability of systems, preventing unnecessary resource waste, and maintaining user trust, making it a key consideration for developers, quality assurance teams, and cybersecurity professionals.