Gracefully handling endpoint feedback when starting to monitor
A method, system and computer-usable medium for adaptively assessing risk associated with an endpoint, comprising: determining a risk level corresponding to an entity associated with an endpoint; selecting a frequency and a duration of an endpoint monitoring interval; collecting user behavior to collect user behavior associated with the entity for the duration of the endpoint monitoring interval via the endpoint; processing the user behavior to generate a current risk score for the entity; comparing the current risk score of the user to historical risk scores to determine whether a risk score of a user has changed; and changing the risk score of the user to the current risk score when the risk score of the user has changed.
1. A computer-implementable method for adaptively assessing risk associated with an endpoint, comprising:
determining a risk level corresponding to an entity associated with an endpoint, the endpoint comprising an endpoint agent executing on a hardware processor of the endpoint;
selecting a frequency and a duration of an endpoint monitoring interval;
collecting user behavior associated with the entity for the duration of the endpoint monitoring interval via the endpoint;
processing the user behavior to generate a current risk score for the entity;
comparing the current risk score of the entity to a historical risk score of the entity to determine whether a risk score of the entity has changed;
changing the risk score of the entity to the current risk score when the risk score of the entity has changed;
decreasing the frequency of the endpoint monitoring interval when the current risk scores of the entity remain substantially the same over a plurality of endpoint monitoring intervals;
increasing the frequency of the endpoint monitoring interval when the current risk scores of the entity increase over a plurality of endpoint monitoring intervals; and,
remediating a risk associated with the entity, the remediating the risk being based upon the risk score of the entity, the remediating the risk being performed via one of the endpoint and a security analytics system, the security analytics system executing on a hardware processor of an information handling system.
2. The method of claim 1 , wherein:
the endpoint comprises a risk-adaptive feature pack.
3. The method of claim 2 , wherein:
the risk-adaptive feature pack comprises at least one of an event data detector module, an event data collector module and a risk-adaptive security policy.
4. The method of claim 1 , further comprising:
decreasing the duration of the endpoint monitoring interval when the current risk scores of the user decline over a plurality of endpoint monitoring intervals.
5. A system comprising:
a processor;
a data bus coupled to the processor; and
a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus, the computer program code interacting with a plurality of computer operations and comprising instructions executable by the processor and configured for:
determining a risk level corresponding to an entity associated with an endpoint the endpoint comprising an endpoint agent executing on a hardware processor of the endpoint;
selecting a frequency and a duration of an endpoint monitoring interval;
collecting user behavior associated with the entity for the duration of the endpoint monitoring interval via the endpoint;
processing the user behavior to generate a current risk score for the entity;
comparing the current risk score of the entity to a historical risk score of the entity to determine whether a risk score of the entity has changed;
changing the risk score of the entity to the current risk score when the risk score of the entity has changed;
decreasing the frequency of the endpoint monitoring interval when the current risk scores of the entity remain substantially the same over a plurality of endpoint monitoring intervals;
increasing the frequency of the endpoint monitoring interval when the current risk scores of the entity increase over a plurality of endpoint monitoring intervals; and,
remediating a risk associated with the entity, the remediating the risk being based upon the risk score of the entity, the remediating the risk being performed via one of the endpoint and a security analytics system, the security analytics system executing on a hardware processor of an information handling system.
6. The system of claim 5 , wherein:
the endpoint comprises a risk-adaptive feature pack.
7. The system of claim 6 , wherein:
the risk-adaptive feature pack comprises at least one of an event data detector module, an event data collector module and a risk-adaptive security policy.
8. The system of claim 5 , wherein the instructions executable by the processor are further configured for:
decreasing the duration of the endpoint monitoring interval when the current risk scores of the user decline over a plurality of endpoint monitoring intervals.
9. A non-transitory, computer-readable storage medium embodying computer program code, the computer program code comprising computer executable instructions configured for:
determining a risk level corresponding to an entity associated with an endpoint;
selecting a frequency and a duration of an endpoint monitoring interval;
collecting user behavior associated with the entity for the duration of the endpoint monitoring interval via the endpoint, the endpoint comprising an endpoint agent executing on a hardware processor of the endpoint;
processing the user behavior to generate a current risk score for the entity;
comparing the current risk score of the entity to a historical risk score of the entity to determine whether a risk score of the entity has changed;
changing the risk score of the entity to the current risk score when the risk score of the entity has changed;
decreasing the frequency of the endpoint monitoring interval when the current risk scores of the entity remain substantially the same over a plurality of endpoint monitoring intervals;
increasing the frequency of the endpoint monitoring interval when the current risk scores of the entity increase over a plurality of endpoint monitoring intervals; and,
remediating a risk associated with the entity, the remediating the risk being based upon the risk score of the entity, the remediating the risk being performed via one of the endpoint and a security analytics system, the security analytics system executing on a hardware processor of an information handling system.
10. The non-transitory, computer-readable storage medium of claim 9 , wherein:
the endpoint comprises a risk-adaptive feature pack.
11. The non-transitory, computer-readable storage medium of claim 10 , wherein:
the risk-adaptive feature pack comprises at least one of an event data detector module, an event data collector module and a risk-adaptive security policy.
12. The non-transitory, computer-readable storage medium of claim 9 , wherein the computer executable instructions are further configured for:
decreasing the duration of the endpoint monitoring interval when the current risk scores of the user decline over a plurality of endpoint monitoring intervals.
13. The non-transitory, computer-readable storage medium of claim 9 , wherein:
the computer executable instructions are deployable to a client system from a server system at a remote location.
14. The non-transitory, computer-readable storage medium of claim 9 , wherein:
the computer executable instructions are provided by a service provider to a user on an on-demand basis.