Enterprise organizations are under continuous threat from increasingly sophisticated bad actors. In response, enterprises have improved perimeter defenses, implemented solutions to detect intrusions, taken steps to protect against insider attacks and prepared to rapidly mitigate the impact of security breaches.
While these efforts are necessary, they are also reactive. Cybersecurity startup Intsights wants to help organizations become proactive by identifying threats before they become attacks. The company’s sophisticated technology searches the clear web (publicly accessible web pages), the deep web (web pages requiring authentication) and the dark web (web pages not accessible using standard protocols and traditional browsers) to help enterprises detect actionable threat intelligence before hackers have actually initiated an attack.
Delivering their service using a subscription model, the company applies data mining algorithms and machine learning to sort through the mass of threat intelligence data. Its solution prioritizes and distills the threat intelligence into a manageable set of alerts that help security analysts focus on the most critical threats such as data leaks, targeted attacks, phishing sites and fake mobile apps.
The company recognized, however, that organizations require a comprehensive platform to deal with these external threats. Its system, therefore, also provides automated remediation capabilities. This automation enables organizations to remediate identified threats either automatically or with minimal interaction by security analysts.
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