As COVID-19 has left many of us at home, the web has become a useful friend in these uncertain times. It’s just a pity the web has also become a potential harvest for cybercriminals and threat actors.
These cyber-crooks lurk around the net looking to exploit unassuming people, selling counterfeit products, or worse, utilizing malware to extract and steal people’s online financial credentials or cashing out corporate assets from businesses.
With more people at home, that means more potential for web criminals. This is increasingly putting pressure on forensic data analysts of law enforcement agencies to stay one step ahead of such threat actors.
Fortunately, the advancement of AI crime prediction software systems means analysts are now being empowered like never before to extract crucial insights from web data and deliver quicker turnarounds in real-time in investigations.
These tools can extract data, analyze it, and verify the identity and pattern of behavior of individuals of interest and groups to take action or prevent them from committing online fraud or other cybercrimes even when they are using fake identities.
This is also where WEBINT (web intelligence) can come into its own. To follow the trail of suspicious transactions, individuals, and groups, an artificial intelligence tool can trace threat actors using keywords in their phishing attacks or when selling their malware and exploitation tools.
The best WEBINT solutions are AI-powered, meaning they incorporate sure-fure machine-learning algorithms.
They allow law enforcement, investigators, police officers, and analysts to collect and process vast amounts of big data from the surface, deep web, and dark web to track and trace the digital footprints of threat actors.
WEBINT solutions can also automatically analyze key data sets such as credit cards and payment services, which will help financial institutions and banks to receive real-time intelligence on threat actors gathered from publicly accessible online sources.
These AI tools enable organizations and enterprises to receive instantly extracted data to analyze and verify the identity and pattern of behavior of persons of interests or groups to take action or prevent them from committing crimes online.
Harnessing AI in crime intelligence that incorporates machine learning technologies allows for conducting enhanced due diligence, which will help to prevent financial crime.
These AI-assisted WEBINT solutions can search across the deep, dark, and surface web layers while scouring multiple social network platforms. An AI-empowered WEBINT platform will offer law enforcement agencies to go beyond traditional search engines and develop links, identifications, location, and real-time activities of threat actors in no time at all.
These groundbreaking systems put analysts on the front foot as they can roam the web anonymously and gather vast amounts of information relevant to threat actors while uncovering potential threat actors and groups.
Users can gain deep insights and substantial intelligence, including locations, context, internal relations, group structures, hierarchies, and more. Ultimately, to conduct non-intrusive internet investigations for expedited results.
These solutions now encompass the power of AI technology will help to meet new and future challenges in an uncertain world.
