False Negative
A false negative is a genuinely malicious indicator that a security system fails to detect or classify as a threat. False negatives are more dangerous than false positives because they allow real attacks to pass undetected. Coverage across multiple threat feeds reduces false negative rates.
Frequently asked questions
What is False Negative?
A false negative is a genuinely malicious indicator that a security system fails to detect or classify as a threat. False negatives are more dangerous than false positives because they allow real attacks to pass undetected. Coverage across multiple threat feeds reduces false negative rates.
How is False Negative related to False Positive?
False Positive in short: 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.
Related terms
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.
Confidence Score
A confidence score quantifies how certain a threat intelligence system is that an indicator is malicious, given the evidence. isMalicious weights source signals by reliability, compares agreement and conflicts, and applies time decay to older observations.
Threat Feed
A threat feed is a structured, continuously updated stream of IOCs and threat data from a single source or aggregator. Security tools ingest threat feeds to keep blocklists and detection rules current. Examples include Spamhaus DROP, abuse.ch URLhaus, and CISA KEV.
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