Prevent Cyber Attacks using Artificial Intelligence
Making Darkweb and Deepweb Threat Intelligence Actionable
There are thousands of new vulnerabilities disclosed to the public annually – but, knowing the urgency of which ones to patch is a significant challenge for security teams around the globe. Given limited resources, you need to identify and address the most critical ones first.
Why? Not all vulnerabilities present the same level of risk. Some are minor, while others can have an extremely high probability of becoming exploited. Identifying the software to patch most urgently can be critical to an organization’s survival.
So how can one identify the most dangerous vulnerabilities? Research has shown that hackers use less than 3% of all publically known vulnerabilities in attacks — yet 99% of breaches are due to known vulnerabilities. Some vulnerabilities are more useful to hackers than others. Those discussed in the dark web, where hackers are planning, buying and selling exploits, have a greater than 31% probability of being weaponized toward an exploit.
Our tools leverage automated machine learning to datamine hacking communities within the deep and dark web. The resulting information may be used by our clients to assist in prioritizing remediation efforts to focus on those vulnerabilities which are most relevant to their networks. Focusing on those vulnerabilities currently being used by hackers can proactively improve cybersecurity posture and make it harder for hackers to penetrate.
Our technology combines advanced machine learning with automatically mined deep web and dark web information to provide proactive, actionable cyber threat intelligence. This approach is unique in the cybersecurity landscape, rapidly accelerating the collection of data to analyze using machine learning to identify potential threats.
Our solutions are designed to empower network defenders with actionable intelligence before cyberattacks occur. Automated capture and analysis of deep and dark web data predict real threats and vulnerabilities with sufficient warning to allow cybersecurity professionals to take advanced corrective action.
Our advantage is in our ability to combine dark web data with advanced machine learning. Automation speeds the data collection process and advanced machine learning provides accurate threat assessments. We can determine the most likely threats against your organization now— by scanning the dark web for current or emerging actionable threats and understanding what threat actors are discussing about your company brands, domains, customers, employees, and related information. As a result, your organization will be able to focus on the active threat actors using the right data to accurately predict which vulnerabilities will be exploited — even before the availability of an exploit.