Decryption Engines

Expertly Engineered for Decryption - AI - Video

Advances in technology bring many challenges to examiners and practitioners. Encryption, larger volume sizes, high-resolution video, complex algorithms, and A.I. are all part of an equation that require more processing cores, faster volumes, CUDA or Stream Processors, and an abundance of RAM to efficiently process the data and attempt to decrypt volumes, folders, files, etc.

It takes knowledge, experience, and know-how to design systems specifically geared towards each application package. We pull from decades of experience in computer forensics and cryptography to build the most efficient decryption & science engines. In fact, we’re experienced in teaching law enforcement and the corporate community in the science of cryptography. The ability to design and implement systems that combine multiple technologies gives you the fastest and most favorable results. We strive to innovate and bring technology to the forefront of the forensic and science community. 

Encryption is a multipart process, which uses an algorithm and sometimes multiple algorithms in order to secure data. There are various encryption algorithms employed in today’s encrypted files, folders, drives, etc. Most of the current algorithms are extremely robust and take a lot of power to brute force through the passwords.

Our Decryption Engines are specifically designed to attack those algorithms with maximum efficiency leveraging the best possible hardware available. Partnering our Decryption Engines with the industry leading decryption software like Passware, Elcomsoft, and Hashcat provides the user with the best possible results in fractions of the time it would take a standard system to decrypt files, folders, and drives. Best of all, we are now offering the Rainbow Tables with the purchase of some of our password Decryption Engines!

Our systems are also extremely efficient at Deep Learning / AI Research, Video Editing & Production, 3D Rendering and Animation, Architectural Engineering, and Multi-GPU Computing. 

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