A Next generation Intelligence Platform for Better Decision-Making

Digital forensic technology encompasses advanced technological solutions to retrieve and analyze large and complex web data sets for investigations. An example is mage forensics technology that extracts and analyzes collected metadata of an image file for clues.

Web Intelligence (WEBINT) is the process of collecting, processing, and analyzing large volumes of web data to provide intelligent insights for businesses, security agencies, financial institutions, government agencies, and private sector organizations. WEBINT provides critical clues and information regarding the activities of person and groups online for e.g., criminal investigation processes, terror prevention, national security enforcement, business operational productivity, fraud prevention, and threat prevention – all through learning about online users’ activities on the surface, deep and dark web.

Threat intelligence is evidence-based knowledge about an existing or emerging menace or hazard to assets that can be used to make informed decisions. Sources of threat intelligence include open-source information such as online forums, blogs, and message boards that are publicly accessible.

The dark web is a hidden part of the internet that requires special software, such as Tor, to access. Unlike the surface web, which is indexed by search engines, the dark web is intentionally concealed and often used for anonymous communication and transactions. While it has legitimate uses, such as protecting privacy in oppressive regimes, it is also known for illegal activities, including the sale of drugs, weapons, and stolen data.

OSINT stands for Open-Source Intelligence. Open-source intelligence is data that can be collected from publicly accessible sources on the surface, deep, and dark web. Examples of such OSINT sources are social media, forums, blog posts, news sources, articles, archives, interviews, and documents that can be freely accessed

AI-Powered technologies encompass tools and techniques that enable machines to mimic human intelligence. Key technologies include Machine Learning (ML), Natural Language Processing (NLP), Computer Vision, Deep Learning, and Generative AI. These technologies power applications like predictive analytics, language translation, image recognition, and autonomous systems.