Symantec Corporation

Ca, Inc.

Nobuto Hotta

Dinesh Bhirud

Adam Glick

Spencer Dale Smith

Petrus Johannes Viljoen

Douglas Schlatter

Shireen Rivera

Nathan Brogan

Patrick Coyne

The present disclosure provides methods for an endpoint ranking system that can take endpoint importance, symptom importance, and symptom timing into account when determining endpoint hygiene scores for endpoints in a network. A list of endpoints that is ranked or sorted according to hygiene score can by dynamically generated and can change over time due to the manner in which symptom timing is taken into account. The list can also evolve as parameters for endpoint importance and system importance are modified. An endpoint-importance weight can be assigned to each endpoint to bias hygiene scores according to endpoint importance. Symptom-importance weights and decay rates can also be assigned to symptom types to further bias hygiene scores.

Dynamically ranking and presentation of endpoints based on age of symptoms and importance of the endpoint in the environment

A system and method for detecting potential system vulnerabilities to malicious attacks. A list of routes between computing devices and associated threat levels is maintained as network events occur between computing devices. The routes include bad hygiene endpoints, high value targets which are a variety of server types controlling access to sensitive data, and network connections. A list of routes connecting high value targets and bad hygiene endpoints are sorted by a priority level and used to identify potential routes. When a network event corresponding to a given route is detected, the list is searched to identify potential routes. Potential routes are monitored routes with no network events detected yet between the source and destination.

System and method for prioritizing endpoints and detecting potential routes to high value assets

The disclosed computer-implemented method for filtering log files may include (1) identifying, on the endpoint computing device, log files that recorded events performed by processes executing on the endpoint computing device, (2) prior to sending the log files from the endpoint computing device to a security server for analysis, filtering, based on an analysis of the events recorded by the log files, the log files by excluding log files that recorded non-suspicious events, and (3) forwarding the filtered log files from the endpoint computing device to the security server for analysis. Various other methods, systems, and computer-readable media are also disclosed.

Systems and methods for filtering log files

Reputation-based automatic remediation is applied for enforcing good network hygiene of a client. A scanning module scans the client to detect files on the client in response to an attempt by the client to connect to a secure network. A reputation score module retrieves onto the client a reputation score for each of the files detected. The reputation scores can be retrieved from a reputation database of a reputation server storing reputation data for files. A hygiene score module calculates on the client a hygiene score for the client based on the reputation scores for the files on the client. The hygiene score indicates a likelihood of the client to engage in risky behavior. The threshold determination module determines whether the hygiene score exceeds a threshold for bad client hygiene. The policy module applies a policy to the client that restricts network access in response to the hygiene score for the client exceeding the threshold.

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Torrance, CA, United States of America

Nobuto Hotta