Microsoft Technology Licensing, LLC

Yair Tor

Mark Fishel Novak

Eugene (John) Neystadt

Oleg Ananiev

Daniel Alon

Patrik Schnell

Arthur Zavalkovsky

Hanan Shteingart

Yoav Yassour

Daniel Rose

Eli Koreh

Amit Hilbuch

Amos Ortal

Alexey Efron

Yifat Schacter

Stefan Thom

Efim Hudis

Royi Ronen

Anat Eyal

Anders Bertil Vinberg

John Eugene Neystadt

Khaja Ehteshamuddin Ahmed

Murali Krishna Sangubhatla

Eugene John Neystadt

Gilad Michael Elyashar

Sudharsan Balakrishnan Sripadham

Moshe Sapir

Ran Didi

Hani-Hana Neuvirth

Suren Jamiyanaa

Daniel Manesku

Andrey Terentyev

The devices and methods relate to web categorization of web requests. The devices and methods may perform a two-step classification of the web requests. The first classification may provide potential web categories for web request based on a fully qualified domain name (FQDN) of the web request. The first classification may be used to determine whether transport layer security (TLS) termination may be performed on the web request. The second classification may provide a web category for a uniform resource locator (URL) of the web request after performing the TLS termination. The web category may be used by a firewall in filtering web traffic for the web request.

Performing transport layer security (TLS) termination using categories of web categorization

A recommendation system for recommending a target feature value for a target feature for a target deployment is provided. The recommendation system, for each of a plurality of deployments, collects feature values for the features of that deployment. The recommendation system then generates a model for recommending a target feature value for the target feature based on the collected feature values of the features for the deployments. The recommendation system applies the model to the features of the target deployment to identify a target feature value for the target feature. The recommendation system then provides the identified target feature value as a recommendation for the target feature for the target deployment.

Automatic recommendations for deployments in a data center

Disclosed herein is a system and method that can be used with any underlying classification technique. The method receives a test dataset and determines the features in that test dataset that are present. From these features the training dataset is modified to only have those features that are present in the test dataset. This modified test dataset is then used to calibrate the classifier for the particular incoming data set. The process repeats itself for each different incoming dataset providing a just in time calibration of the classifier.

Just in time classifier training

Disclosed herein is a system and method that can be used with any underlying classification technique. The method takes into account both the value of the current feature vector. It is based on evaluating the effect of perturbing each feature by bootstrapping it with the negative samples and measuring the change in the classifier output. To assess the importance of a given feature value in the classified feature vector, a random negatively labeled instance is taken out of the training set and replaces the feature at question with a corresponding feature from this set. Then, by classifying the modified feature vector and comparing its predicted label and classifier output a user is able measure and observe the effect of changing each feature.

Reasoning classification based on feature pertubation

Embodiments of the invention provide techniques for basing access control decisions at the network layer at least in part on information provided in claims, which may describe attributes of a computer requesting access, one or more resources to which access is requested, the user, the circumstances surrounding the requested access, and/or other information. The information may be evaluated based on one or more access control policies, which may be pre-set or dynamically generated, and used in making a decision whether to grant or deny the computer access to the specified resource(s).

Network layer claims based access control

Embodiments of the invention make the issuance of trustworthy device claims available to client devices as a service, so that a client device to which device claims are issued may use the device claims in relation to an attempt to access a network application. The service may conduct an assessment of the device's characteristics and/or state, characterize the results of this assessment in device claims, and issue the device claims to the device. The service may be accessible to a client device from outside administrative boundaries of an entity that makes a network application accessible, and thus may be useful to entities making network applications accessible in business-to-consumer (B2C) and business-to-business (B2B) topologies, such as over the publicly accessible Internet.

Trustworthy device claims as a service

Embodiments of the invention provide a trusted intermediary for use in a system in which access control decisions may be based at least in part on information provided in claims. The intermediary may request claims on behalf of a network resource to which access is requested, and submit the claims for a decision whether to grant or deny access. The decision may be based at least in part on one or more access control policies, which may be pre-set or dynamically generated. Because the intermediary requests the claims and submits the claims for an access control decision, the network resource (e.g., a server application) need not be configured to process claims information.

Trusted intermediary for network layer claims-enabled access control

Attestation by a self-regulating attestation client. The attestation client requests a credential of health from an attestation service, which includes an ordered attestation log and proof of integrity and freshness of the log. The attestation client receives the requested credential of health, which certifies the attestation client was healthy when it requested the credential of health and that the attestation service trusts the attestation client to be healthy each time the attestation client authenticates using the credential of health. The attestation client receives a request to authenticate that it is healthy using the credential of health, verifies that it is currently healthy, and performs the requested authentication.

Self regulation of the subject of attestation

Architecture that provides additional data that can be obtained and employed in security models in order to provide security to services over the service lifecycle. The architecture automatically propagates security classifications throughout the lifecycle of the service, which can include initial deployment, expansion, moving servers, monitoring, and reporting, for example, and further include classification propagation from the workload (computer), classification propagation in the model, classification propagation according to the lineage of the storage location (e.g., virtual hard drive), status propagation in the model and classification based on data stored in the machine.

Automated security classification and propagation of virtualized and physical virtual machines

Embodiments of the invention enable a client device to procure trustworthy device claims describing one or more attributes of the client device, have those device claims included in a data structure having a format suitable for processing by an application, and use the data structure which includes the device claims in connection with a request to access the application. The application may use the device claims to drive any of numerous types of application functionality, such as security-related and/or other functionality.

Trustworthy device claims for enterprise applications

Growing community of inventors

Shorashim, Israel

Yair Tor