Accenture Global Solutions Limited

Accenture Global Services Gmbh

Andrew Poole

Anthony McCoy

Qurrat Ul Ain

Gaurav Tandon

Rexall E Thexton

Sanjeev Shukla

Colleen Connolly

Hannah Craddock

Farbod Kamiab

Sidath Mudiyanselage

Md Faisal Zaman

Antonio Penta

Phillip Lynch

Gaurav Shivhare

Sneha Shinde

Grant Kevin Harris

Jeffrey Mark Recor

A device may receive tracking data identifying trajectories of objects, and may annotate the tracking data to identify object categories for the tracking data. The device may identify objects based on the object categories, and may determine object trajectories for the objects. The device may transform the object trajectories to overhead planar trajectories, and may generate simplified object trajectories. The device may convert a continuous space associated with the simplified object trajectories into a discrete space, and may convert the discrete space to a lower dimensional space. The device may transform the object trajectories to binary feature vectors, and may process the binary feature vectors, with a clustering model, to determine trajectory clusters. The device may train a classification model with the binary feature vectors and the trajectory clusters, and may cause the trained classification model to be implemented.

Utilizing machine learning models to classify vehicle trajectories and collect road use data in real-time

A device may receive security data identifying assets of an entity, security issues associated with the assets, and objectives associated with the assets and may utilize a data model to generate, based on the security data, asset related data identifying mapped sets of security data. The device may process a first portion of the asset related data, with a first model, to calculate an asset risk likelihood score for an asset of the assets and may process a second portion of the asset related data, with a second model, to calculate an asset criticality score for the asset. The device may process a third portion of the asset related data, with a third model, to calculate an asset control effectiveness score for the asset and may combine the scores to generate a security risk score for the asset. The device may provide the security risk score for display.

Utilizing models to integrate data from multiple security systems and identify a security risk score for an asset

A method for controlling access to one or more of a plurality of target systems includes receiving profile data that defines one or more features associated with a plurality of individuals with one or more entitlements of those individuals. Each entitlement is indicative of target system access. The method further includes generating a model that relates the one or more features and the one or more entitlements of the plurality of individuals. Profile data that defines one or more features associated with a target individual is received from a first user management system. A listing that includes one or more entitlements associated with the target individual, and confidence values associated with the one or more entitlements is generated based on the profile data and the model. Each confidence value is indicative of whether the target individual should be granted a corresponding entitlement. For each entitlement having a corresponding confidence value higher than a predetermined threshold, an instruction is communicated to a target system associated with the entitlement to allow the target individual access to the target system.

System for controlling access to target systems and applications

System for controlling access to a plurality of target systems and applications

A method for controlling access to one or more of a plurality of target systems includes receiving profile data that defines one or more features associated with a plurality of individuals with one or more entitlements of those individuals. Each entitlement is indicative of target system access. The method further includes generating a model that includes one or more sets of rules where each set of rules is associated with an entitlement of the profile data. Each entitlement is indicative of target system/application access. Each rule within a set relates a combination of one or more features of the profile data with a confidence value. Profile data that defines one or more features associated with a target individual is received from a first user management system. A listing that includes one or more entitlements associated with the target individual, and confidence values associated with the one or more entitlements is generated based on the profile data and the rules. Each confidence value is indicative of whether the target individual should be granted a corresponding entitlement. For each entitlement having a corresponding confidence value higher than a predetermined threshold, an instruction is communicated to a target system associated with the entitlement to allow the target individual access to the target system.

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Dublin, Ireland

Andrew Poole