What does Data Retention Mean?



Data Retention is a technology which permits users to:
  • acquire and archive huge quantities of elementary data representing various kinds of events;
  • keep this data for long periods of time;
  • ensure the inalterability and consistency of the data as well as its validity over time;
  • search and retrieve the relevant data to the customer as well as requests from the judicial authorities in a short time, providing indisputable evidence of their reliability, so that they can also be used in criminal proceedings.

Data Retention is one of the main survey tools for detective agencies, with applications that require enormous scalability, long storage periods and fast response capabilities.

DRS-SLR Specifications



Acquisition:
  • Integration of heterogeneous sources.
  • Input filters for the data to be acquired.
Normalization:
  • Simplification of research activities.
  • Integration with external scripts (Python, Perl, Ruby), Java functions.
  • Integrity and Encryption:
  • Use of proprietary algorithms (DRS-Encryption), or standards currently in use.
  • Integrity of data acquired through a block-chain hash scheme.
Search:
  • Search for data in compliance with the different SLAs
 

Workflow

 

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Data Retention is the ability to capture and store massive quantities of event related records, keep those records for long periods of time, retrieve and deliver query results to law enforcement agents in near real time and provide tamperproof, court quality forensic evidence sufficient to identify and prosecute terrorists or criminals. Data Retention technology is the preferred approach taken by cutting edge intelligence agencies for applications that require massive scalability, long storage periods and real time data retrieval.

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