FTK Lab

Built on FTK® technology, FTK Lab is an investigative platform that enables division of labor, centralized case management and web-based review. Instead of dealing with slowdowns as you wait to get the information you need to proceed with an investigation, you control everything from a central database with varying levels of user control. If you need more processing power to handle the massive data sets typical of a corporate or government agency environment, FTK Lab’s distributed processing support leverages a multi-hardware environment to give you more power when you need it, reducing the time it takes to get through a case.

Divide and Conquer
Divide and conquer with FTK® Lab. Computer forensics labs handling massive data sets, utilizing a distributed workforce, or looking to collaborate with attorneys, HR or other parties, can step up from FTK® to FTK® Lab.

Centralized Investigative Platform
As a centralized investigative platform, FTK® Lab adds powerful web-based review functionality with up to 16x DPE capabilities. With a centralized processing farm and centralized database infrastructure, FTK® Lab offers the fastest processing available on the market with virtually limitless scalability (depending on your own hardware).

True Native Review System
With the web-based, true native review system, non-technical users (attorneys, HR personnel, outside experts) can participate in the process without delay, regardless of their location. Administrators can assign users to a specific case or set of data within a case, or be restricted by feature, so only qualified users can access more advanced functions.

Collaborative Solution
As a collaborative solution for computer forensics labs, electronic evidence can be fully secured at the case or file level. Centralized logging ensures accountability, with active directory integration for authentication. The web browser can use SSL for secure communication.

Cloud Environment Deployable
FTK® Lab can easily be deployed in a cloud environment like AWS or Azure, to control costs and save on hardware. Save on hardware and pay only for what you need, with the ability to scale computing and storage. Purchase computing based on what you need in an operating budget instead of a capital budget.