Cisco Technology, Inc.

Alok Lalit Wadhwa

Navindra Yadav

Supreeth Hosur Nagesh Rao

Aria Rahadian

Yiwei Wang

Vasil Dochkov Yordanov

Zhiwen Zhang

Ravi Sankuratri

Ravi Shanker Prasad

Bharathwaj Sankara Viswanathan

Muhammada Furqan

Soumyadeep Choudhury

Udayan Joshi

Brady Schulman

Matthew Finn

Shashidhar R Gandham

Ashutosh Kulshreshtha

Kannan Ponnuswamy

Umamaheswaran Arumugam

Darshan Shrinath Purandare

Supreeth Rao

Aiyesha Ma

Prasannakumar Jobigenahally Malleshaiah

Tapan Shrikrishna Patwardhan

Weifei Zeng

Paul John Lesiak

Robert Bukofser

Matthew Lawson Finn, Ii

Furong Ma Gisiger

Manish Arigala

James Gabriel Fontenot

Jerry Xin Ye

Danesh Irani

In one aspect, a method for implementing a cloud-platform push for one or more known data breaches includes the step of, for each data breach of the one or more known data breaches, providing a functionality that maps one or more kill chains or Tactics, Techniques, and Procedures (TTPs) for a specified set of security dimensions. A step includes generating a security rule for each mapped kill chain or TTP based on the functionality that maps the one or more kill chains or Tactics, Techniques, and Procedures (TTPs) for a specified set of security dimensions. A step includes pushing the security rule to an enterprise so that the enterprise is aware of a vulnerability in the data breach. A step includes generating a customized posture for a Virtual private cloud (VPC) in the enterprise's cloud-based network. A step includes determining that the data breach can occur within the enterprise's cloud-based network.

Cloud-platform push for known data breaches

In one aspect, a computerized system for locating anomalous query activity with a cloud-based database, comprising: with an atypical query engine: analyzing and understanding data within a cloud-based database, processing all accesses to the data within cloud-based database and SAAS environment, generating a list of user that accesses a table from a location in the cloud-based database using, and capture a set of specified key statistics about the cloud-based database query; and role suggestion engine: generating a user behavior fingerprint comprising a history of the user's behavior within the cloud-based database, identifying that a user is an outlier with respect to behavior with respect to the set of specified key statistics, and suggesting a new role within an enterprise managing the cloud-based database for the user, wherein the fingerprint of the outlier user is used to generate the suggestion for the new role.

Methods and systems for locating anomalous query activity on data stores

In one aspect, a computerized method for automatically identifying and solving for vendor data abuse in an enterprise network, includes the step of implementing a vendor detection at one or more gateways of the enterprise network. The method includes the step of mapping a set of data along with any associated data attributes of the set of data that are being shared with a vendor via the one or more gateways. The method includes the step of detecting and identifying an access anomaly with respect to the set of data associated with a vendor access. The method includes the step of implementing a specified data minimization process to the access anomaly.

Methods and systems for prevention of vendor data abuse

Disclosed herein are methods, systems, and non-transitory computer-readable storage media for scoring network segmentation policies in order to determine their effectiveness before, during and after enforcement. In one aspect, a method includes identifying one or more applications within an enterprise network; identifying at least one network security policy in association with the one or more applications within the enterprise network; determining a score of the network security policy based on information corresponding to exposure of each of the one or more applications within the enterprise network; and executing the network security policy based on the score.

Systems and methods for determining effectiveness of network segmentation policies

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 providing network assurance across a network. In some embodiments, network traffic data of a cluster of nodes in a network environment can be gathered based on first network traffic flowing through the nodes using a first group of sensors implemented in the network environment. Network events occurring in the network environment can be identified, e.g. using sensors deployed in an infrastructure of the network environment. Subsequently, the network events can be correlated with the network traffic data to generate correlated network data for the network environment. The correlated network data for the network environment can be used to provide assurance between at least one server in the cluster of nodes and the network infrastructure of the network environment as part of providing assurance across the network environment.

Cross-domain assurance

Growing community of inventors

Milpitas, CA, United States of America

Alok Lalit Wadhwa