EN QUOI SOMMES NOUS INNOVANTS
The advantages of our technology
- Nommage et attribution de la famille de malware
- Résistant aux protections
- Résistant aux variants : analyse morphologique non-basée sur les signatures
- Explicabilité des résultats
- % de corrélation avec les menaces existantes
- Compatible avec les systèmes de défense du marché
- Représentation 3D de la menace
- Pionniers de l’analyse dynamique depuis la création

Morphological analysis at the heart of enterprise cybersecurity
Traditional malware detection engines most often rely on signature-based recognition techniques, such as YARA rules.
This is no longer enough today, as malware can now modify itself quickly and easily, breaking the signatures used to detect it.
To address this cybersecurity gap, we developed a unique technique: morphological analysis.
Our solution performs static and dynamic analysis of applications’ binary code to ensure enterprise cybersecurity.
How morphological analysis works
Morphological analysis characterizes the malicious behaviors it detects. This capability strengthens enterprise cybersecurity by identifying increasingly sophisticated, unknown, or obfuscated attacks.
Morphological analysis combines artificial intelligence — which assimilates new threats and functions — with reverse-engineering techniques essential to disassembly and de-obfuscation.
This innovation, also paired with formal methods tools, delivers unmatched precision on executables without requiring a training phase.
How do we detect new variants?
Morphological analysis disassembles and analyzes binary code through a control flow graph. By performing dynamic analysis, we are able to apply transformations, reductions, and segmentation to the binary in order to determine its nature. This allows us to estimate its percentage of similarity with already-detected malware and identify its variants.

Our handling of packed files




