Cobwebs Technologies Discusses the European Commission's New Counter-Terrorism Agenda and How It Can Be Tackled Using Automated Web Investigation Technologies - Seite 2

The Agenda's strategy is stated in the title in four main steps:

●  Anticipate:
Anticipating possible attacks or criminal activity can be done by analyzing relevant content, activity, and sentiment on social media and hidden forums in the deep and dark web. Cobwebs' prediction capabilities pinpoint indications of possible organized terror or criminal activity, enabling law enforcement agencies to stay one step ahead of criminals and anticipate their next move.

●  Prevent:
Cobwebs' WEBINT platform provides a visual link analysis, connecting the dots between analyzed data (i.e., content, connections, and more) and displaying it in a visual graph that is easy to understand. This is done by conducting an in-depth analysis of relevant content on the open, deep, and dark web, and generating real-time alerts to enable investigators to prevent criminal activity before it happens.

●  Protect:
Cobwebs conducts in-depth, automated web investigations that generate insights based on extracted and analyzed data from the open, deep, and dark web. The AI-powered WEBINT platform analyzes the data and provides in-depth insights and reports with detailed information about topics, locations, demographics, sentiment, and more for smarter, data-driven decisions.

●  Respond:
Using AI and machine learning algorithms, Cobwebs' WEBINT platform analyzes data throughout the web's open and hidden sources in real-time, and generates real-time alerts that help national security agencies respond to threats and attacks as they happen.

Enhanced public safety in today's digital world is only possible with supporting technology that uses AI and machine learning to fill in the gaps where human capabilities simply can't deliver. Cobwebs Technologies offers innovative, cutting-edge WEBINT solutions to national security agencies to assist in investigations and help them protect civilians.

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