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 weights source signals by reliability, compares agreement and conflicts, and applies time decay to older observations.
Related Terms
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.
IP Reputation
IP reputation is a score or classification indicating whether an IP address has been associated with malicious activity. Factors include appearance on blocklists, volume of spam sent, history of port scanning, C2 hosting, and abuse reports.
Blocklist (Denylist)
A blocklist is a list of IPs, domains, URLs, or file hashes known to be malicious. Firewalls, DNS resolvers, and email gateways use blocklists to automatically block traffic from known bad actors. Blocklists must be kept current to remain effective.
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