False Positive
A false positive in threat intelligence is a benign indicator incorrectly classified as malicious. High false positive rates waste analyst time and cause legitimate traffic to be blocked. isMalicious uses multi-source correlation and reliability weighting to minimize false positives below 0.1% for high-confidence verdicts.
Frequently Asked Questions
What is False Positive?
A false positive in threat intelligence is a benign indicator incorrectly classified as malicious. High false positive rates waste analyst time and cause legitimate traffic to be blocked. isMalicious uses multi-source correlation and reliability weighting to minimize false positives below 0.1% for high-confidence verdicts.
How is False Positive related to Confidence Score?
False Positive and Confidence Score are both key concepts in threat intelligence. A confidence score quantifies how certain a threat intelligence system is that an indicator is malicious, given the evidence. isMalicious calculates confidence by weighting signals from 17 sources by their reliability, cross-correlating agreement, and applying time decay to older signals.