Quin-C Roadmap

5 year roadmap

I get asked all the time what doe the roadmap for Quin-C look like. I answer the question the same way every time: "What would like it to look like." I know it isn't a productive answer but it is the truth. The fact is we follow a true Agile development process with releases every two to three weeks so the roadmap is whatever people are asking for. That said there are some meaningful guiding principles being used and there are plenty of task I throw in because I have a specific vision for the product. Since I know the essence of the question is to get at that vision I figured it would make a worth while blog. So without further ado here is my 5 year Quin-C vision:

First and foremost you need to understand that over the next few months Quin-C will absorb all of the functionality of all of AccessData products. That means corporate eDiscovery users will have a Quin-C version for them, corporate forensics users will have a Quin-C for them, and so on and so forth. In addition, Quin-C will offer the capabilities of registry viewer and prtk in an integrated way. Meaning there won't be separate UI's for those products in Quin-C anymore. Finally we will be continuing to expand the ecosystem of Quin-C so there will be more iterations like the one we have with Belkasoft. But these things don't really represent a vision, these are just near term tactics. The vision is one focused on AI and automation. As scary as I find it, and I do find it scary, AI has achieved great things in the last few years and it is time to really incorporate those improvements into the forensics market. This is my focus and this is my vision with the explicit goal of removing the need for the investigator in investigations. Meaning when working a generic run of the mill investigation the AI should be able to do most of the work for you. Of course since this is law enforcement and peoples live are at stake we will always need to investigator to confirm results, but we shouldn't need the investigator to gather the relevant data. 

Criminals can be smart, then can be sneaky but they are almost never original. There are probably only two or three truly new schemes in any given year. Resolving those will remain the job of the investigator for a long time to come. But solving crimes that are based on well established patterns and well know schemes, that is the job for an AI. To get there we are building multiple different types of AI, AI like and automation techniques into Quin-C. Utilizing, scripting, statistical analysis, pattern matching, and true AI we are already able to provide a range of powerful tools like image recognition, autotagging, predictive coding, and clustering but there is much more that can be done. We are focusing on maturing the application of these technologies and more thoroughly integrating them into the products work flow so that investigators simply need to enter basic information about the investigation and the software will local all documents it thinks are likely to be relevant. I have a PPT that I will upload to the website that talks about these techniques in a little more detail if you are interested. 

Finally the last key principal that is worth discussing is that of community. You should already see that Quin-C is all about enabling the community to share and build. That is a concept that will run through everything we do in the coming years. There is simply no way for one company to solve all of the problems in forensics so we are approaching the issue with the goal of crowd sourcing the effort. The more people we can get in the community build scripts and sharing knowledge the farther and faster we will be able to go. 

So that is my general roadmap/concept framework. It you want to see more detail see the 5 year roadmap ppt I have uploaded to the webist. It is going change radically and frequently and you can't trust a word written on it but it is still my best effort:)

tleehealey Thursday 19 October 2017 - 6:06 pm | | Default
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