Threat actors have become highly sophisticated in avoiding cybersecurity when they attack financial institutions to commit fraud. They exploit vast amounts of information, social media platforms, and channels on the surface, deep and dark web to create synthetic identities, share weaknesses of onboarding processes, and exploit customer vulnerabilities. They also use the dark web to purchase attack tools and sell stolen data. For financial institutions and providers of financial services, this entails that they must identify and prevent direct threats, block fraud attempts, and protect customers from social engineering schemes. But conducting comprehensive checks and looking for vulnerabilities is a costly and time-consuming process.
The WEBINT platform automatically generates decision-quality insights based on accurate data extracted from watchlists, encrypted databases, local multilanguage media sources, and sentiments expressed on social networks.
The WEBINT platform utilizes machine-learning algorithms for image analysis, character recognition, geolocation, and other digital clues to trace the whereabouts of lost assets worldwide.
The WEBINT platform automatically tracks chatter and leaked data regarding institutions, customers, and assets across numerous hidden forums, marketplaces, and other channels.
The WEBINT platform uses artificial intelligence to connect the dots between threat actors who are targeting financial institutions for generating investigative leads and alerts regarding new threats.
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