Solutions in combating crime

STAR provides regulatory and law enforcement agencies with the necessary tools to combat data-driven struggles with complex and organized crime today in each of the stages of prevention, detection and investigation and by strengthening their organizational collaboration and their analysis they are aided into combating crime on time.

Combating crime and preventing disturbances in the society’s order and dealing with abuses and offenses, is largely responsible by regulatory agencies and law enforcement agencies. In the modern world, these institutions need more vigilance compared to the past. The emergence of large and even international criminal networks and their use of new technologies, especially communication technologies, in perusing their targets, have led to regulatory bodies and law enforcement of countries to face complex and difficult issues.
The success of these institutions in combating the threats to the order and security of the society, especially organized crime, which imposes significant damage on countries, the acquisition of awareness and the ability to respond appropriately and timely to crimes and optimally exploiting data either due to their governmental position or being part of an institution that has accumulated data over time while dealing with perpetrators and offenders. For a long time, detectives and analysts of regulatory bodies solving crimes collected documents and information relating to the cases and would then analyze them. In today’s world, with the volume and variety of data being far more than before, the analysis of data on offenses without the use of appropriate technologies would be similar to searching for needles in a haystack. Therefore, for regulatory authorities to confront the complex crimes of today’s world should be equipped with appropriate tools for data analysis.


How does STAR help?

The STAR counter-terrorism strategy provides an opportunity to meet all the requirements of regulatory and law enforcement agencies in the field of data analysis. With the help of this platform, analysts can seamlessly integrate data in all of their organization’s data sources into their analysis. The ability to create scenarios in a graphical environment, using a rich set of algorithms and processing tools, helps analysts search for complex patterns for discovering subjects and clues related to crimes in mass data. After identifying subjects, analysts can provide more richness to their analysis by collecting relevant information from different sources and putting them together in an intuitive environment and using the tools available to analyze communications between subjects and the timelines and locations of the incident.
Additionally, extensive access control capabilities of the STAR platform allows analysts to use the maximum allowable data in analytics and share it with other analysts in an easy and secure environment, without interrupting the loss of information, data, and analytical outcomes and resolve issues in the organization.


Use of all databases in a user-friendly environment

The current situation in most regulatory and law enforcement agencies is that detectives or analysts have to use various sources from multiple systems to search for information on their criminal subjects. After receiving information from the systems for each of the available data sources, the task of matching and combining the data obtained is also undertaken by the analyst, taking into account the heterogeneity of the format and the structure of the data in various sources. Thus, a significant part of the analyst’s time is spent circulating between different systems, outputting from each of them, and then combining the data manually or with the help of basic tools. Furthermore, the risk of human error and loss of clues during this process is high.
The ability to connect to a variety of data sources, structural adaptation and integral presentation in the form of a comprehensive and familiar analytical model enables them to use all the organization’s data sources in a user’s environment and the results View and search for various types of queries in different sources in the form of entities, events, and relationships between them.


Identification of subjects in mass data

The identification of subjects and the discovery of clues from crimes is a key and important part of regulatory and law enforcement agencies. The evolution of the techniques used by criminals and their use of a variety of new technologies for transferring information and financial resources and hidden clues related to their activities within massive amount of data has led to traditional methods and tools are not sufficient to search such massive data sources that would meet the needs of today’s institutions. Analysts need tools that help them identify potential patterns and signals of crime within a massive amount of data. By providing an intuitive and creative environment, the STAR platform enables analysts to design complex crime scenarios without familiarizing themselves with programming languages and discovering their instances within different data resources.


Investigation and Case Management

With the help of STAR’s tools, analysts can quickly search for and collect information about target subjects in existing structured and unstructured data sources of organizations. The automatic conversion of organizational data sources into a single entity-based communication model allows the analyst to easily combine various data resources and use its various tools to analyze the relationship graph between entities and events related to the target case and to analysis them based on timelines and locations.


Control access to classified information

One of the main concerns of regulatory bodies is in maintaining the confidentiality of data and essentially not abusing them. This concern has led to data sharing to be at a minimal within organizations, while actually the key to solving many cases is by putting together the data under the control of different units. By providing a variety of features, the STAR platform, provides access control measures for different users, as well as logging of all their activities within the platform environment, and hence reduces the mentioned concerns and provides a platform for collaboration and sharing of information among different teams of the organization.