Our Multi-Agent Ranking framework.
Detecting suspicious or malicious activity in a network is not a trivial task. In recent years the attacks perpetrated have grown in sophistication and frequency. For this reason a new detection tool was developed, in the form of the Multi Agent Ranking framework (MARk). MARk sets the groundwork for the implementation of large scale detection and ranking systems through the implementation of a distributed storage in conjuncture with highly specialized, stand-alone detector agents. The detector agents are responsible for analyzing specific predefined characteristics and producing a report of any suspicious activity encountered.
Read moreSince version 2.6.0, the Multi-Agent Ranking framework (MARk) offers the possibility to integrate images and other files in the reports generated by your detectors. Here is how...
Read moreThe Multi-Agent Ranking framework (MARk) allows to quickly build ranking and detection systems by combing building blocks. In this blog post, we show how to use the file data source to inject data into the system...
Read moreThe Multi-Agent Ranking framework (MARk) is a generic server that allows to easily build large scale detection and ranking systems. It provides a web interface, a distributed execution framework for detection algorithms, storage for data and detection results, and an easy to configure triggering mechanism.
Read moreIn previous blog posts we showed how to inject a stream of data in the Multi-Agent Ranking framework, and how to use the built-in detectors to produce a ranking. This time we show how to implement your own detection algorithms.
Read moreNow that you have a running MARk server, with data flowing in, you can use the provided algorithms to build your detection chain.
Read moreThe Multi-Agent Ranking framework (MARk) aims to provide all the building blocks that are required to build large scale detection and ranking systems. For this blog post we will use docker and docker-compose to run a MARk server, then we will use PHP and composer to inject data in the framework.
Read moreThis week we released a new major version of the Multi-Agent Ranking framework (MARk). This version brings two main changes:
Read moreToday we released version 0.0.28 of our Multi-Agent Ranking Framework (MARK).
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