International Business Machines Corporation

Citigroup Technology, Inc.

Alexandra Shulman-Peleg

Michael Edward Factor

Elliot Karl Kolodner

Ayman Jarrous

Ron Peleg

Shmuel Regev

Eitan Menahem

Shahar Kohanim

Zohar Basil

Alessandro Sorniotti

David Hadas

Anil Kurmus

Tim Waizenegger

Robert M Dailey

Javier Caceres

Bartlomiej Dolata

Carlos Lopes

Damodhar R Neelagiri

Ramkumar Pandurangan

Oded Margalit

Cataldo Mega

Yossi Gilad

Ravid Sagy

David Lebutsch

Shmulik Regev

David Asulin

Daniel Tylman

Daivid Lebutsch

Bernhard Kurtz

A security manager configured to generate a plurality of learned security policies and provide at least one learned security policy and a security agent to a client machine for enforcement of the at least one learned security policy by the security agent on the client machine. The security manager configured to receive alerts from the security agent indicating anomalous behavior on the client machine.

Intrusion detection and mitigation in data processing

Systems and methods for container orchestration security employ one or more processors that separate a lifecycle of one or more containers into a plurality of predefined container image lifecycle phases; segregates control of the plurality of predefined container image lifecycle phases into a plurality of control environments separately controlled by different enterprise control components isolated from one another. In addition, one or more external processors may generate one or more certificates that are based on the platform, state attributes and meta data for interaction of the container with one or more external nodes. The one or more processors may also control the promotion, update and deletion of container images between the plurality of lifecycle phases and registries in different control environments as well as between the enterprise registries and the plurality of other registries that are part of multiple external clouds.

Systems and methods for container orchestration security

Systems and methods involve an input layer function of a function-as-a-service (FaaS) pipeline that receives trigger data from a trigger layer function of one or more processors of enterprise processing systems, calls one or more processors of an enrich layer function of the FaaS pipeline that adds enriching context to the trigger data, and creates an event based at least in part on the enriched trigger data. A route layer function of the FaaS pipeline invoked by the input layer function creates an action based on the event created by the input layer function. An action layer function of the FaaS pipeline invoked by the route layer function creates a command based on the action created by the route layer function, and the action layer function sends a remediation action to a command layer function of the enterprise processor based on the action created by the route layer function.

Serverless auto-remediating security systems and methods

Challenging a current user of a computing device by measuring characteristics of user actions sensed by a computing device, determining that the measurements meet a uniqueness condition with respect to corresponding measurements in a comparison set of actions, recording the user actions and their measurements in a set of challenge actions associated with an authorized user, and responsive to a challenge requirement to determine whether a current user of the computing device is the authorized user, selecting challenge actions associated with an authorized user, prompting the current user to perform the selected challenge actions that are then sensed by the computing device, measuring characteristics of the prompted actions, and determining that the measurements of the characteristics of the prompted actions meet a similarity condition with respect to measurements of corresponding characteristics of the selected challenge actions.

Challenge generation for verifying users of computing devices

There is provided, in accordance with some embodiments, a method comprising using one or more hardware processors for receiving a behavioral biometric model that characterizes a human user according to pointing device data of the human user, where the pointing device data comprises screen coordinate and time stamp pairs. The method comprises an action of monitoring an input data stream from a pointing device in real time, wherein the input data stream covers two or more spatial regions of a display screen, and an action of segregating the input data stream into one or more subset streams that is restricted to one of the plurality of spatial regions. The method comprises an action of computing a similarity score based on one or more comparisons of the behavioral biometric model and the one or more subset streams, and an action of sending the similarity score to a user authorization system.

Pointing device biometrics for continuous user authentication

A method, system and computer-usable medium for performing an authorization operation on an Internet of Things (IoT) type device, comprising: providing each of a plurality of IoT type devices with a respective authorization system; receiving a request to share resources at one of the plurality of IoT type devices; determining via the respective authorization system whether the one of the plurality of IoT devices has an IoT resource available for sharing; and, enabling sharing of the IoT resource when the respective authorization system determines that the IoT resource is available for sharing.

On-device authorization of devices for collaboration and association

A computing facility, including a storage management system belonging to a first trust zone having a first privilege level, a metadata management system belonging to a second trust zone having a second privilege level higher than the first privilege level, and a security management system belonging to a third trust zone having a third privilege level higher than or equal to the second privilege level. The storage management system is and configured to store multiple content entities, and the metadata management system is configured to manage, for each of the multiple content entities, metadata including a respective content encryption key and a respective retention time, each of the content entities being encrypted by its respective content encryption key. The security management system is configured to manage a master encryption key used to create the respective content encryption keys, and to confirm expiration of the respective retention times.

Retention management in a facility with multiple trust zones and encryption based secure deletion

Machines, systems and methods for handling a client request in a hierarchical multi-tenant data storage system, the method comprising processing a request in subtasks, wherein a subtask is executed with a minimal set of privileges associated with a specific subtenant; extracting a claimed n-level hierarchy of a tenant and sub-tenant identities from the request; extracting authentication signatures or credentials that correspond to a level in the hierarchy; for a first level in the hierarchy, sending the request to a dedicated subtenant authenticator with privilege to validate credentials for a subtenant at the first level; and receiving a confirmation from the dedicated subtenant authenticator, whether the request is authentic.

Secure isolation of tenant resources in a multi-tenant storage system using a security gateway

Methods, storage systems and computer program products implement embodiments of the present invention that include defining, for an entity, a policy access control list including one or more access rules, each of the access rules including one or more user conditions and one or more entity conditions. Upon receiving a request from a user to access a given entity, one or more user attributes associated with the user and one or more entity attributes associated with the given entity are identified. For each of the access rules, the one or more user conditions are applied to the one or more user attributes, the one or more entity conditions are applied to the one or more entity attributes. Access to the given content entity is granted to the user upon determining that a minimum threshold of the one or more user conditions and the one or more entity conditions are met.

Policy access control lists attached to resources

Embodiments relate to digital data retention management. An aspect includes calculating a retention date associated with a data object in a storage system. Another aspect includes generating a cryptographic checksum for metadata relating to said data object, the metadata comprising the retention date. Another aspect includes storing said metadata and said cryptographic checksum. Another aspect includes, based on receiving a request to perform a deletion transaction on said data object for deleting said data object from the storage system: verifying metadata validity by checking the cryptographic checksum for the metadata associated with said data object to detect possible tampering of the metadata; verifying retention expiration by determining that a current date is past the retention date comprised in said metadata; and based on successful verification of metadata validity and retention expiration, authorizing deletion of said data object by the storage system.

Digital data retention management

Embodiments of the present invention may involve identifying a user of a touchscreen device. A touchscreen device may receive a user input. One or more features of the user input on the touchscreen device may be identified. The one or more features of the user input may include, for example, geometric patterns, swiping motifs, a pressure, a spatial orientation, or any combination thereof. A user profile comprising the one or more features of the user input may be generated. The touchscreen device may receive a second input from an unknown user. A statistical evaluation may be performed comparing one or more features of the second input with one or more features of the user input in the user profile. A probability that the unknown user is the user may be determined. If a low probability is determined, the unknown user may be locked out of the touchscreen device.

Growing community of inventors

Givataim, Israel

Alexandra Shulman-Peleg