Hoplite Artemis Web Treat Detection identifies threats in real-time to help you respond in real-time. The threat landscape is ever changing, and increasingly challenging. Some of the threats today’s organizations are vulnerable to include:  

Bruteforce Attacks, or the automated guessing of passwords to take over, and exploit user, and administrative accounts on your website.
Site and Architecture Probing to gather as much information about site structure, and security vulnerabilities in preparation for an eventual attack.
Distributed Denial of Service (DDoS) attack on the Application Layer, or network resulting in coordinated barrage of requests to bring down a website.
Business Logic Abuse or the use of website functionality for malicious or exploitative purposes. ​
​Site Scraping and data theft perpetrated by copying large amounts of data from a website, typically via automated software.
​Mobile Threats such as mobile session hijacking.

Identifying Criminal Behavior On Line

​Complex online cyber attacks and fraud schemes cost organizations billions of dollars annually. Many of these attacks exploit the legitimate functionality of web and mobile channels to take over user accounts, steal money, scrape information and perpetrate other types of fraud.
With so many users interacting with your website on a daily basis, it can be extremely difficult to tell the difference between legitimate and criminal users – after all it's nearly impossible to monitor what every user is doing click by click. Criminals exploit this lack of visibility by hiding their activities among legitimate users traffic – making it extremely difficult for organizations to detect attacks in real time. Rather, analysts rely on log, and other retrospective data to investigate the cause after attacks occur. 
This approach results in low attack detection rates, high costs of manual review, and increased exposure to threats. Hoplite Artemis Web Threat Detection helps to identify threats and website abuse through the use of Behavioral Threat Detection algorithms and Threat Intelligence –  highlighting behavior that is out of the ordinary from general population of web visitors. This allows information security teams to focus their attention on the users that have exposed themselves as potentially disruptive rather than trying to identify the equivalent of a needle in a haystack. 
 

Complex online cyber attacks and fraud schemes cost organizations BILLIONS of dollars annually.

Criminals Self-Identify Through Their Own Behavior 

​Criminals do behave differently than legitimate site users. This becomes apparent when you compare how quickly they move through the site, where they access your site from, even how they navigate through the site. They also leave tell-tale signs such as source IP addresses, and user-agent strings that indicate their presence.
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