Challenges for Lawful Monitoring

Over the last decade, the very nature of lawful monitoring has changed in India-moving from a structured content to an unstructured content. This leads to a radically different paradigm involving massive data storage and analysis that necessitates centralized deployment in response to this fundamental change.

Traditional database-driven BI solutions do not reflect the quantum leap in data analysis that has been triggered in the past few years by the monumental growth of Web 2.0 and cloud computing, manifested in the scientific and technical contributions of Google, Facebook, and Yahoo! to tackle big data. These companies have fundamentally changed the way quantitative analysis can be performed on gigantic data sets.

The social fabric that binds people at the same time

Communications is the social fabric that binds people at the same time. Using research, talking, meeting, chatting, and email have become the basic components of a social network. Currently, deployed communication monitoring systems capture bits and bytes orphaned from the relationships that should inherently as well be described to put at the same time conversation threads with mobile phone locations that provide for context.

What is needed today is social analytics that applies social science to massive data sets using data-intensive supercomputing methods for statistical analysis using massively scalable computer-storage clusters, where the core on an open platform is flooded with petabytes of data on a daily basis. This will as well lead to the use of predictive analytics.

To lawfully monitor such communications, the surveillance industry today needs a quantum leap in capabilities to address the following 7 emerging trends: