Malware and ransomware pose two of the greatest, and fastest-growing, cyber threats in the world today.

To that end, a new AI-based enterprise solution ended up developed to protect against malware and ransomware. Cybersecurity provider, Conatix, released the solution in collaboration with the University of Luxembourg’s Interdisciplinary Centre for Security, Reliability and Trust (SnT).

CYSANA, which stands for CYberSecurity ANAlytics, ended up designed to stop malware and ransomware before they have an impact on business. It does this by integrating deep learning neural network-based image classification and anti-encryption research.

The core of CYSANA lies in its AI module, which visualizes software applications as images to detect malware embedded in executable files at the point of download, before these files open, install or engage in any activity on a computer.

Anti-Encryption Model
CYSANA’s anti-encryption module further strengthens this defense by preventing malware from using a computer’s own encryption keys to encrypt user data and hold it for ransom, effectively blocking malware from any source becoming ransomware.

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Additionally, malware can hide in executable software files and remain undetected for long periods while monitoring user activity and corporate operating procedures or stealing or deleting data. In its most antagonistic form, malware transforms into ransomware, encrypting valuable data on computers, often demanding a ransom to reverse the damage.

In July 2023, a Reuters report said close to $450 million had been paid to ransomware attackers in the first half of that year, an increase of $175 million over the same period in 2022. The impacts of malware and ransomware can be devastating to companies and government agencies, with attacks becoming more frequent, sophisticated and costly.

“Our innovative CYSANA software merges deep learning and anti-encryption technologies to offer a new level of robust cyber protection,” said David Lehrer, chief executive of Conatix. “Developing this solution has been a true collaboration resulting in more robust and encompassing cyber protection than a single company could develop on its own.”

CYSANA visualizes software applications as images to detect malware embedded in executable files at the point of download, before these files open. Slide on left shows malicious software, while slide on right is benign.
Source: CYSANA solution by Conatix

“SnT strives to conduct research with an impact, and this product launch is a significant success story for that mission,” said Dr. Carlo Duprel, head of the SnT’s Technology Transfer Office of the University of Luxembourg. “The collaboration with Conatix to launch CYSANA to a worldwide market underlines our depth of expertise in the field of cybersecurity, and commitment to combatting cybercrime.”

Neural Network Training
In the development process CYSANA’s neural network models ended up trained and tested on the Luxembourg-based MeluXina supercomputer operated by LuxProvide. This high-performance computer testing ground, one of the most powerful in Europe, helped make the product effective at detecting novel and Zero Day malicious files.

“LuxProvide is passionate about driving innovation and research, as demonstrated by our significant support for the CYSANA project, along with our commitment to offering a leading platform for digital and other research initiatives.” said Arnaud Lambert, chief executive of LuxProvide.

With the launch of CYSANA, Conatix is offering a deep learning AI-based solution against some of the hardest-to-find malware, a solution faster and more effective than existing anti-malware systems. CYSANA is a barrier for malware that could become ransomware and start encrypting valuable company data.

The anti-ransomware solution within the CYSANA product ended up patented by the University of Luxembourg in 15 countries. CYSANA’S exclusive license with the University of Luxembourg’s SnT is another step from the Centre to strengthen the impact of its research at a global scale.


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