Cyber Threat Intelligence

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.

Workflow
AI Tools for Data Extraction

Artificial intelligence-driven search engines that are capable of sifting through infinite amounts of critical data and methodologies that meet requirements of law enforcement agencies across the globe. This allows authorities to crack down on cybercrime networks and threat actors on the publicly-accessible surface, deep and dark web as well as social media to extract and analyze big web data in minimum amounts of time and with limited resources.

The automated AI web intelligence tools of Cobwebs allow for unveiling the identities of threat actors across the different layers of the web as well as generating real-time alerts for follow-up, including mitigation of present and future cyberattacks.

Cyberthreats Detection

Cyberthreat tracing allows for identifying potential threats using publicly-available web data. It provides critical insights by tracing, tracking and analyzing online activity on all levels of the internet, including the deep and dark web, in order to discover new data sources and leads to optimize their investigations.

With the WEBINT platform of Cobwebs, authorities and cybersecurity professionals can detect the activities of threat actors, analyze the social networks, blogs, forums or platforms they are active on, and gain situational awareness. The extracted and analyzed information can be shared with team members, departments, and agencies via the WEBINT platform or by using the exporting tools.

HUMINT Methodology

HUMINT is based on intelligence collected or provided by human sources to obtain reliable and accurate information. Since intelligence gathering is moving more and more online, analysts at intelligence agencies need to adapt their traditional methodologies, such as face-to-face interviews, and must collect web data to get valuable insights. The WEBINT platform of Cobwebs combines advanced virtual intelligence capabilities with traditional HUMINT methods to gather all necessary information quickly and efficiently.

The platform allows for working anonymously, enabling investigators and analysts to join darknet forums, hacker communities and other platforms undercover to collect actionable information. The combination of advanced virtual intelligence capabilities and traditional HUMINT methods allows for extracting and analyzing big data for insights crucial for cyberthreats intelligence.

Data Extraction for Cyberthreats Detection:

Gain Real-Time Situational Awareness

Cobwebs’ solutions are recognized globally for innovation, compliance, and award-winning technologies.