Cisco Technology, Inc.

Songlin Li

Navindra Yadav

Supreeth Hosur Nagesh Rao

Umamaheswaran Arumugam

Darshan Shrinath Purandare

Prasannakumar Jobigenahally Malleshaiah

Aiyesha Ma

Tapan Shrikrishna Patwardhan

Ashok K Kumar

Hanlin He

Systems, methods, and computer-readable media for attack surface score computation can include the following processes. An attack surface score service receives information identifying open ports associated with an application. The attack surface score service determines an attack surface score for the application based on the information and common attack ports. A policy engine determines whether to implement a policy for reducing vulnerability of the application to attacks to yield a determination. The policy engine implements a vulnerability reduction policy based on the determination.

Determining application attack surface for network applications

Systems, methods, and non-transitory computer-readable storage media are disclosed for detecting, identifying, and/or assessing hidden vulnerabilities in an enterprise network. In one example, a device may have one or more memories storing computer-readable instructions and one or more processors configured to execute the computer-readable instructions to receive vulnerability data of network components within an enterprise network. The vulnerability data can include identification of one or more vulnerabilities detected within the enterprise network. The device can then determine a vulnerability frequency and a machine frequency associated with each of the one or more vulnerabilities. The device can then determine a vulnerability score for each of the one or more vulnerabilities based on the vulnerability frequency and an inverse of the machine frequency, to yield a plurality of vulnerability scores. The device can then rank the one or more vulnerabilities based on the plurality of vulnerability scores.

Systems and methods for detecting hidden vulnerabilities in enterprise networks

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Mountain View, CA, United States of America

Songlin Li