International Business Machines Corporation

Sonrai Security Inc.

Napatech A/s

Ben A Wuest

William Alexander Bird

Brad J Peters

Rory F Bray

Vijay Dheap

Russell L Couturier

Dasharath P Chavda

Gregory A Davis

Albert Lockett

Jason David Keirstead

Patrick V Johnstone

Veranika Hadun

Alex Omø Agerholm

Dwight E Spencer

Jody D Brownell

Matthew Aaron Rogers Carle

Willam A Bird

Joshua Luke Laver

Christopher Glen Fredericks

Carter James MacLennan

Derek T Lohnes

A cloud security control platform and method enforces security controls across multiple cloud environments, services and disparate teams while providing a frictionless 'Permissions on Demand' mechanism for approvals and exceptions. In contrast to the prior art, security is evaluated on a permission by permission basis, with the default being that all permissions are denied and then only given to a particular identity on an as-needed basis. This approach reduces the security risks associated with the vast capabilities available in Public Cloud environments and permits an organization that uses the platform to grant access, approve exceptions and delegate approvals with the appropriate compliance.

Cloud security control platform that enforces scope-based security controls

A network-accessible service provides an enterprise with a view of identity and data activity in the enterprise's cloud accounts. The service enables distinct cloud provider management models to be normalized with centralized analytics and views across large numbers of cloud accounts. Using a domain-specific query language, the system enables rapid interrogation of a complete and centralized data model of all data and identity relationships. The data model also supports a cloud 'least privilege and access' framework. Least privilege is a set of minimum permissions that are associated to a given identity; least access is a minimal set of persons that need to have access to given piece data. The framework maps an identity to one or more actions collected in cloud audit logs, and dynamically-build a compete view of an identity's effective permissions. The resulting least privilege and access policies are then applied natively to a given cloud environment to manage access.

Cloud least identity privilege and data access framework

A network-accessible service provides an enterprise with a view of identity and data activity in the enterprise's cloud accounts. The service enables distinct cloud provider management models to be normalized with centralized analytics and views across large numbers of cloud accounts. Based on identity and audit data received from a set of cloud deployments, and according to a cloud intelligence model, a set of permissions associated with each of a set of identities are determined. For each identity, and based on a set of identity chains extracted from the cloud intelligence model, a set of identity account action paths (IAAPs) are then determined. An IAAP defines how the identity obtains an ability to perform a given action in a given account. Using the identity account action paths together with context information, one or more roles, groups and accounts in the enterprise that are propagating permissions within the public cloud environment are then identified.

Cloud security platform with contextual hot-spot permissions analytics

A network-accessible service provides an enterprise with a view of all identity and data activity in the enterprise's cloud accounts. The service enables distinct cloud provider management models to be normalized with centralized analytics and views across large numbers of cloud accounts. The service enables an enterprise to model all activity and relationships across cloud vendors, accounts and third party stores. Display views of this information preferably can pivot on cloud provider, country, cloud accounts, application or data store. Using a domain-specific query language, the system enables rapid interrogation of a complete and centralized data model of all data and identity relationships. User reports may be generated showing all privileges and data to which a particular identity has access. Similarly, data reports shown all entities having access to an asset can be generated. Using the display views, a user can pivot all functions across teams, applications and data, geography, provider and compliance mandates, and the like.

Cloud intelligence data model and framework

A method, apparatus and computer program product for selectively storing network traffic data are described. Network traffic is stored according to a first packet filtering policy in a first repository. The stored network traffic is scanned in the first repository according to a second packet filtering policy to identify a subset of network traffic for archiving. The identified subset of network traffic identified by the second packet filtering policy are forensically interesting packets concerning a security issue. The identified subset of network traffic from the first repository is then stored in a second repository.

Intelligent security context aware elastic storage

Embodiments provide a system and method for network tracking. By using packet capture applications having a flow identifier and a time stamper, one or more raw packets from one or more packet flows intercepted from a network can be tagged with a unique identifier and timestamp that can later be used to aggregate packet flows that have been analyzed by one or more capture applications. The unique identifier can relate to the network interface of the particular capture application and can also have an increasing value, where the increase in value can be monotonic. Later capture applications, while capable of generating secondary timestamps, can disregard those secondary timestamps for the primary timestamp of the first capture application in order to remove complications arising from latency issues.

Persistent flow identifiers enabling disparate applications

A method, system and computer-usable medium are disclosed for identifying risk within an information technology (IT) environment, comprising: analyzing characteristics of a user accessing a system within an IT environment; associating a risk profile with the user based upon the characteristics of the user; determining when the user accesses a system within the IT environment; maintaining a user risk profile record of all systems within the IT environment accessed by the user, the user risk profile record continuing to be associated with the system after access by the user ceases; and, identifying a risk level for all systems within the IT environment based upon the user risk profile record.

User activity modelling, monitoring, and reporting framework

According to one exemplary embodiment, a method for detecting malware in a network stream to at least one host computer is provided. The method may include initializing a browser profile corresponding with a first website having a first website source and a first plurality of content features. The method may include recording the first plurality of content features and a trusted source based on the first website source. The method may include scanning the network stream for a second content feature within a second plurality of content features associated with a second website. The method may include determining if the second content feature matches a first content feature. The method may include determining if the second plurality of content features is consistent with the first plurality of content features. The method may include determining if a second website source matches the trusted source. The method may include generating an alert.

Endpoint traffic profiling for early detection of malware spread

Growing community of inventors

Fredericton, Canada

Ben A Wuest