Context informed abnormal endpoint behavior detection
AssigneePalo Alto Networks, Inc.
InventorsShai Meir, Dany Cohen, Arkady Miasnikov, Ohad Ohayon
Life of this patent
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AssigneePalo Alto Networks, Inc.
InventorsShai Meir, Dany Cohen, Arkady Miasnikov, Ohad Ohayon
Estimating the term…
Adaptive normal profiles are generated at a hierarchical scope corresponding to a set of endpoints and a process. Abnormal endpoint activity is detected by verifying whether event data tracking activity on the set of endpoints conforms to the adaptive normal profiles. False positives are reduced by verifying alarms correspond to normal endpoint activity. Abnormal event data is forwarded to a causality chain identifier that identifies abnormal chains of processes for the abnormal endpoint activity. A trained threat detection model receives abnormal causality chains from the causality chain identifier and indicates a likelihood of corresponding to a malicious attack that indicates abnormal endpoint behavior.
A method comprising,
A non-transitory, computer-readable medium having program code stored thereon the program code comprising instructions to:
An apparatus comprising:
Dependencies are inferred from the claim text.