Systems and Methods for Governing VPN Access Using a Remote Device in Proximity to a VPN Endpoint
Granted: February 9, 2023
Application Number:
20230041438
Various embodiments provide for governing VPN access using a device remote from a VPN endpoint.
SYSTEMS AND METHODS FOR POSTURE CHECKING ACROSS LOCAL NETWORK ZONE ZTNA CONTROL
Granted: February 9, 2023
Application Number:
20230038058
Systems, devices, and methods are discussed for providing ZTNA control across multiple related, but independently provisioned networks.
Systems and Methods for Governing VPN Access Using a Remote Device in Proximity to a VPN Endpoint
Granted: February 9, 2023
Application Number:
20230041438
Various embodiments provide for governing VPN access using a device remote from a VPN endpoint.
SYSTEMS AND METHODS FOR POSTURE CHECKING ACROSS LOCAL NETWORK ZONE ZTNA CONTROL
Granted: February 9, 2023
Application Number:
20230038058
Systems, devices, and methods are discussed for providing ZTNA control across multiple related, but independently provisioned networks.
CLOUD-BASED ORCHESTRATION OF INCIDENT RESPONSE USING MULTI-FEED SECURITY EVENT CLASSIFICATIONS
Granted: February 2, 2023
Application Number:
20230034035
Systems and methods for performing multi-feed classification of security events to facilitate automated IR orchestration are provided. According to one embodiment a cloud-based security service protecting a private network provides a plurality of data feeds, wherein each data feed of the plurality of data feeds independently classify a given security event and produce a classification result. In response to an event associated with a process of an endpoint device that is part of the…
Machine Learning Systems and Methods for API Discovery and Protection by URL Clustering With Schema Awareness
Granted: February 2, 2023
Application Number:
20230034914
Various embodiments provide systems and methods for discovering APIs for use in relation to network application security.
CLOUD-BASED ORCHESTRATION OF INCIDENT RESPONSE USING MULTI-FEED SECURITY EVENT CLASSIFICATIONS
Granted: February 2, 2023
Application Number:
20230034035
Systems and methods for performing multi-feed classification of security events to facilitate automated IR orchestration are provided. According to one embodiment a cloud-based security service protecting a private network provides a plurality of data feeds, wherein each data feed of the plurality of data feeds independently classify a given security event and produce a classification result. In response to an event associated with a process of an endpoint device that is part of the…
Machine Learning Systems and Methods for API Discovery and Protection by URL Clustering With Schema Awareness
Granted: February 2, 2023
Application Number:
20230034914
Various embodiments provide systems and methods for discovering APIs for use in relation to network application security.
CLOUD-BASED ORCHESTRATION OF INCIDENT RESPONSE USING MULTI-FEED SECURITY EVENT CLASSIFICATIONS
Granted: February 2, 2023
Application Number:
20230034035
Systems and methods for performing multi-feed classification of security events to facilitate automated IR orchestration are provided. According to one embodiment a cloud-based security service protecting a private network provides a plurality of data feeds, wherein each data feed of the plurality of data feeds independently classify a given security event and produce a classification result. In response to an event associated with a process of an endpoint device that is part of the…
Machine Learning Systems and Methods for API Discovery and Protection by URL Clustering With Schema Awareness
Granted: February 2, 2023
Application Number:
20230034914
Various embodiments provide systems and methods for discovering APIs for use in relation to network application security.
SYSTEMS AND METHODS FOR RESILIENT ZTNA MICRO-SEGMENTATION POLICY GENERATION
Granted: December 15, 2022
Application Number:
20220400116
Systems, devices, and methods are discussed for determining zero trust network access policy based upon intent defined groups of workloads.
SYSTEMS AND METHODS FOR FINE GRAINED FORWARD TESTING FOR A ZTNA ENVIRONMENT
Granted: December 15, 2022
Application Number:
20220400114
Systems, devices, and methods are discussed for forward testing rule sets at a granularity that is less than all activity on the network. In some cases, the granularity is that of an individual application.
SYSTEMS AND METHODS FOR FOCUSED LEARNING OF APPLICATION STRUCTURE AND ZTNA POLICY GENERATION
Granted: December 15, 2022
Application Number:
20220400113
Systems, devices, and methods are discussed for determining zero trust network access policy from a policy from a perspective focused on one or more network elements.
Machine Learning Systems and Methods For Dual Network Multi-Class Classification
Granted: December 15, 2022
Application Number:
20220398494
Among a great deal of other disclosure and scope, systems and methods are disclosed in relation to a dual network entity designed for classification in problem spaces where the target can be one of multiple possibilities with as few labeled training examples as possible. In one of many possible implementations, a network is first used to identify vectors considered to possess immense amounts of information regarding the problem space. An oracle is then tasked with labeling such vectors.…
Machine Learning Systems and Methods For Exponentially Scaled Regression for Spatial Based Model Emphasis
Granted: December 15, 2022
Application Number:
20220398493
Among a great deal of other disclosure and scope, systems and methods are disclosed in relation to training regression machine learning models. In one of many possible implementations, a region of particular interest is identified where it is important for the target model to be very accurate within the region even at the expense of accuracy outside the region. The operator then tunes the loss function hyperparameters in order to correctly fit the region of interest and importance…
Machine Learning Systems and Methods for Classification Based Auto-Annotation
Granted: December 15, 2022
Application Number:
20220398491
Among a great deal of other disclosure and scope, systems and methods are enclosed that enable automated labelling of a subset of vectors in a given problem space. For example, in some of many cases, a first machine learning model pre-trained on a given problem space makes predictions regarding fresh, unseen data. In addition to this prediction, the model can output a confidence metric indicating its confidence regarding the prediction made. A subset of these vectors with the highest…
Machine Learning Systems and Methods for Using an Orthogonality Heuristic to Identify an Ignored Labeling Target
Granted: December 15, 2022
Application Number:
20220398453
Among a great deal of other disclosure and scope, systems and methods are enclosed that enable efficient assessment of the currently known manifolds within a problem space. A set of labeled vectors is identified as well as a set of unlabeled vectors. An angular based comparison is made between each unlabeled vector and each labeled vector. If the smallest angle between a given unlabeled vector and any of the labeled vectors is deemed satisfactory, such as when the angle is small and…
Machine Learning Systems and Methods for Regression Based Active Learning
Granted: December 15, 2022
Application Number:
20220398449
Among a great deal of other disclosure and scope, systems and methods are enclosed that enable for highly efficient labeling of data. For example, in some of many cases, a novel methodology for ranking vectors most useful to label next is disclosed. In such an example, a neural network is trained to predict this ranking methodology upon being given a set of heuristics from which to assess the given problem space. A user can continue the cycle of identifying a set of candidate vectors to…
Machine Learning Systems and Methods for Using Perturbation to Identify High Value Vector Labeling Targets
Granted: December 15, 2022
Application Number:
20220398436
Among a great deal of other disclosure and scope, systems and methods are enclosed that adapt adversarial learning principles to an active learning regime. Given a problem space of note, a set of labeled vectors, a machine learning model trained on the set of labeled vectors, and a set of unlabeled vectors, we identify the unlabeled vectors our model is most unsure of. Each of our unlabeled vectors in our set of unlabeled vectors is initially classified by our model, and the prediction…
Systems and Methods for Hierarchical Facial Image Clustering
Granted: November 24, 2022
Application Number:
20220374627
Various systems and methods for clustering facial images in, for example, surveillance systems.
