As threat actors become more cautious and tech-savvy to conceal their digital movements across the web, the emphasis and pressure on forensic investigators are to track them, identify their intentions and nullify any planned attacks.
A wide range of threats originating from all corners of the world poses crucial security concerns to many organizations and corporations, including credential leaks, database hacking, and phishing attacks.
Whether found as individuals or organized groups, these threats communicated through various methods are challenging to track. As technology advances, criminals’ communication methods evolve and force dark web intelligence techniques to develop.
While many companies invest in cyber intelligence for assets protection, the process to continuously monitor cyber-crooks and threat actors, work out their damage potential, and when they may strike can be lengthy and costly.
But web intelligence (WEBINT) is quickly developing to the point that it now puts investigators, law enforcement, and analysts on the front foot in assessing threat intelligence swifters and making decisions in real-time or speed up investigations that put them ahead of the threat suspect.
AI-powered web intelligence systems platforms enable identifying cyber threats before occurring, observing attackers, their plans, and methodologies to generate insights. Cyber security teams can rapidly create profiles of malicious actors and map their hidden activity networks and behavior patterns across numerous sources.
The software enables continuous monitoring and indexing of the dark web to provide seamless connectivity to thousands of dark web sources, while overlaid intelligence cycles can protect employees, executives, and information.
Rather than exploiting your weakness, today’s AI-enabled software turns the tables on the threat actor, enabling analysts to work under a cloak of invisibility, and extract intel from the surface, deep, and dark web sources without exposing any assets to threat actors.
The best systems are also enabled with Natural Language Processing, aiding automatic, non-human analysis of multiple languages and extracting texts and words that can be identified through quick data analysis.
Forensic investigators can also identify anomalies in big data to extract networks, trends, topics, and other threat patterns targeting an organization.
As forums and blogs on the darknet as a network for hackers to collaborate, share trade information, and chat about corporate vulnerabilities, data analysts can utilize proven AI-powered systems to anonymously understand these threat actors, protect organizations from potential attacks, and assess data types that may have been compromised.
Leading web intelligence platforms can automatically extract critical insights from big data with advanced and powerful AI machine-learning algorithms. They are designed to meticulously scan the web to collect and analyze vast amounts of data in record time and help law enforcement agencies understand and act on the threat analysis.
Law enforcement agencies have begun to use these services to identify potential threats such as school shooters and criminals, using readily available public data.
Data-driven media monitoring services can now provide critical insights to help monitor, track and analyze online activity on all levels of the internet, including the deep and dark web, to discover new data sources and optimize investigations.