Cisco Technology, Inc.

Prasannakumar Jobigenahally Malleshaiah

Navindra Yadav

Umamaheswaran Arumugam

Aiyesha Ma

Darshan Shrinath Purandare

Supreeth Rao

Tapan Shrikrishna Patwardhan

Supreeth Hosur Nagesh Rao

Kai Zhu

Ashok K Kumar

Hai Trong Vu

Shashi Gandham

Jothi Prakash Prabakaran

Duy Nguyen

Songlin Li

Hanlin He

Michael Standish Watts

Robert Bukofser

Matthew Lawson Finn, Ii

Jackson Ngoc Ki Pang

Alok Lalit Wadhwa

Aria Rahadian

Xuan Zou

Micheal Watts

Jerry Xin Ye

Fuzhuo Sun

Systems, methods, and computer-readable media for determine a neighborhood graph can include the following processes. A neighborhood graph system generates a neighborhood graph for a plurality of nodes in an enterprise network, the neighborhood graph representing a multi-hop connections between any two nodes of the plurality of nodes. A security score service determines a security score for each of the plurality of nodes to yield a plurality of scores. The neighborhood graph system updates the neighborhood graph of the plurality of nodes using the plurality of scores to provide a visual representation of securities of the plurality of nodes relative to each other.

Secure neighborhoods assessment in enterprise networks

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

The present disclosure relates to methods, systems, and non-transitory computer readable media for generating an application protectability index for network applications and a corresponding protectability scheme. In one aspect, a method includes identifying, by a network controller, network layers associated with an application; determining, by the network controller, a corresponding security index for the application at each of the network layers to yield a plurality of security indexes, each of the plurality of security indexes providing an objective assessment of protectability of the application at a corresponding one of the network layers; determining, by the network controller, an application protectability index; and providing an application protectability scheme for protecting the application based on the application protectability index.

Application protectability schemes for enterprise applications

Systems, methods, and computer-readable media for application placement can include the following processes. A security score service determines a respective security posture score for each of a plurality of candidate hosts of an enterprise network. A user then identify a set of performance parameters and security parameters for a host in an enterprise network to execute a workload thereon. An application placement engine selects a host from the plurality of candidate hosts having a security posture score matching the performance parameters and the security parameters for executing the workload. An application deployment engine places the workload on the host.

Systems and methods for application placement in a network based on host security posture

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

Systems and methods provide for enriching flow data to analyze network security, availability, and compliance. A network analytics system can capture flow data and metadata from network elements. The network analytics system can enrich the flow data by in-line association of the flow data and metadata. The network analytics system can generate multiple planes with each plane representing a dimension of enriched flow data. The network analytics system can generate nodes for the planes with each node representing a unique value or set of values for the dimensions represented by planes. The network analytics system can generate edges for the nodes of the planes with each edge representing a flow between endpoints corresponding to the nodes. The network analytics system can update the planes in response to an interaction with the planes or in response to a query.

Enriched flow data for network analytics

Systems, methods, and computer-readable media for flow stitching network traffic flow segments at a middlebox in a network environment. In some embodiments, flow records of traffic flow segments at a middlebox in a network environment are collected. The flow records can include transaction identifiers assigned to the traffic flow segments. Sources and destinations of the traffic flow segments with respect to the middlebox can be identified using the flow records. Further, the traffic flow segments can be stitched together to form a plurality of stitched traffic flows at the middlebox based on the transaction identifiers and the sources and destinations of the traffic flow segments in the network environment with respect to the middlebox. A configuration of the middlebox operating in the network environment can be identified based on the stitched traffic flows at the middlebox in the network environment.

Automatic configuration discovery based on traffic flow data

Systems, methods, and computer-readable media for flow stitching network traffic flow segments across middleboxes. A method can include collecting flow records of traffic flow segments at a first middlebox and a second middlebox in a network environment including one or more transaction identifiers assigned to the traffic flow segments. Sources and destinations of the traffic flow segments can be identified with respect to the first middlebox and the second middlebox. Corresponding subsets of the traffic flow segments can be stitched together to from a first stitched traffic flow at the first middlebox and a second stitched traffic flow at the second middlebox. The first and second stitched traffic flows can be stitched together to form a cross-middlebox stitched traffic flow across the first middlebox and the second middlebox. The cross-middlebox stitched traffic flow can be incorporated as part of network traffic data for the network environment.

Discovery of middleboxes using traffic flow stitching

Systems, methods, and computer-readable media for flow stitching network traffic flow segments at a middlebox in a network environment. In some embodiments, a method can include collecting flow records of traffic flow segments at a middlebox in a network environment including one or more transaction identifiers assigned to the traffic flow segments. The traffic flow segments can correspond to one or more traffic flows passing through the middlebox and flow directions of the traffic flow segments with respect to the middlebox can be identified using the flow records. The traffic flow segments can be stitched together based on the one or more transaction identifiers and the flow directions of the traffic flow segments to form a stitched traffic flow of the one or more traffic flows passing through the middlebox. The stitched traffic flow can be incorporated as part of network traffic data for the network environment.

Network flow stitching using middle box flow stitching

Systems, methods, and computer-readable media for providing interoperability between nodes in separate networks as part of a federated network. In some embodiments, a system can identify a first cluster of nodes in a first network and a second cluster of nodes in a second network. The system can provide interoperability between the first cluster of nodes and the second cluster of nodes. First analytics for the first cluster of nodes can be generated using first network traffic data gathered based on first network traffic flowing through the first cluster of nodes by a group of sensors implemented in the first network. The second cluster of nodes can access the first analytics for the first cluster of nodes as part of providing the interoperability between the first cluster of nodes in the first network and the second cluster of nodes in the second network.

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Sunnyvale, CA, United States of America

Prasannakumar Jobigenahally Malleshaiah