Security Digital Platform

A game-changer for security operators, providing unmatched agility and intelligence to ensure urban safety and mobility, large event protection, crisis management and sensitive site protection.

Security Cities Operations Platform Defense forces Critical sites Large event organizers Governments & public institutions

Benefits

Today, countries, cities and sensitive sites are used to produce large amounts of data through the deployment of physical and technological resources (sensors, sub-systems, field agents, open data, ...). These data are difficult to manage but offer unique opportunities to maximize security and to enhance people day-to-day activities.
Thales' Security Digital Platform brings agility, intelligence and collaboration at the heart of operation centers by harnessing the power of new technologies (Big Data, Artificial Intelligence, IoT, Cybersecurity, ...) using more automated solutions for real-time situation awareness and event detection, qualified decision-taking and incident resolution acceleration.

Maximized Situational Awareness

Decision-making process acceleration

Enhanced resources management

Infinite growth potential

Features

Situation awareness

Operator may have a precise and real-time view of the situation through an intuitive 2D/3D map enriched by data from any open or private sources.

Incident management

Any raw data issued from sub-systems are checked and correlated through smart workflows to produce qualified incidents. Decision-aids and collaboration tools allow to speed up resolution of confirmed incidents.

Real-time Dashboard

Any data collected and stored in our data lake is made available to produce tailored dashboards . A powerful KPI editor tool allow user to custom or create their own indicator widgets.

Computer vision and AI

SDP fully uses the power of video analytics (e.g face recognition, counting, ANPR, …) to deliver valuable use cases such as crowd management, real-time detection of suspects or advanced access control.

Resources management

Security operators may assign resources to an incident relying on optimized automatic proposals. Security mobile application will reinforce information-sharing between operators and assigned field agents.

Social network analysis

SDP analyses social network data sources to spot weak signals and so identifies early warnings of an event. Though semantic analysis, SDP also assesses how an incident is perceived by the population.

Suspect tracking

SDP helps to quickly identify the origin of the incident and enrolls live the characteristics of the suspect (number plate, picture from video stream). Then live-tracking can start using analytics to follow the current location of the suspect.

Anticipation

SDP fully uses the power of machine learning to extract, from massive data , prediction or detection of abnormal pattern not visible by human. As a result, operators may anticipate and take preventive actions also guess the perception of an incident on the population.