Cybercrime is on the rise, ranging from fraud and identity threat to hate crime and drug trafficking. Cybercriminals are using web tools and technologies to access and steal personal information and corporate assets to sell, auction of, or use to extort ransom payments. Threat actors and persons of interest are using computers and digital devices to communicate online, often via social media platforms and online
message boards and forums.
Currently, the most common forms of cybercrime are theft of online banking data, identity theft, online predatory crimes (e.g., stalking), unauthorized computer access to steal data or to extort ransom payments, and cyberterrorism. Law enforcement, CISOs and cybersecurity professionals have to take action based on the type of threat they are facing: cybercrime committed by government-sponsored threat actors, offences committed by organized threat actors criminals, hacktivists that have a certain political, cultural, or environmental agenda, or insider threat. Their investigations require them to process huge amounts of web data to get crucial insights.
The WEBINT platform automatically collects, extracts and analyzes threat data from the surface, deep, and dark web for actionable insights using AI and Natural Language Processing algorithms.
The WEBINT platform utilizes machine-learning algorithms for pattern recognition, identifying anomalies in big data to extract networks, trends, topics, and other threat patterns for follow-up.
The WEBINT platform allows law enforcement and cybersecurity professionals to conduct their investigations safely and anonymously via the easy creation and management of virtual agents.
The WEBINT platform uses artificial intelligence to connect the dots between individual cybercriminals and networks to map cybercrime organizations for prosecution and cybercrime prevention.
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