Methods and apparatus to improve the efficiency of an artificial intelligence-based threat detection model
AssigneeMcAfee, Inc.
InventorsGerman Lancioni, Eric Wuehler
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AssigneeMcAfee, Inc.
InventorsGerman Lancioni, Eric Wuehler
Estimating the term…
Systems, apparatus, articles of manufacture, and methods are disclosed to improve the efficiency of an artificial intelligence-based threat detection model. An example apparatus includes interface circuitry, machine readable instructions, and programmable circuitry to at least one of instantiate or execute the machine readable instructions to: obtain an email address from a group of email addresses to be considered as candidates for adding to the list of non-suspicious email addresses, determine that a domain of the email address is indicative of a non-email service providing entity, determine that the email address has a policy configured for a domain-based message authentication, reporting, and conformance (DMARC) record, add the email address associated to the list of non-suspicious email addresses, and cause the artificial intelligence-based threat detection model to skip an analysis of an email associated with the email address.
An apparatus to generate a list of non-suspicious email addresses to be used by an artificial intelligence-based threat detection model that is to analyze an email for a threat, the apparatus comprising:
A non-transitory machine readable storage medium to generate a list of non-suspicious email addresses to be used by an artificial intelligence-based threat detection model that is to analyze an email for a threat, the non-transitory machine readable storage medium comprising instructions to cause programmable circuitry to at least:
A server to distribute first software instructions on a network to generate a list of non-suspicious email addresses to be used by an artificial intelligence-based threat detection model that is to analyze an email for a threat, the server comprising:
Dependencies are inferred from the claim text.