The financial consequences of a cyber attack can durably weaken your organization. | The growth in the volume of threats complicates the alert criticity assessment handled by your analysts. | The persistence of an undetected targeted attack can increase the prejudice caused to your information system. | The stealth and complexity of the latest cyber attacks increase the risk of compromise for your IT infrastructure. |
In-depth files analysis Trackwatch® detects all types of malware by scanning through multiple anti-virus engines. The platform can scan up to 6 million files per 24 hours. Payload control Trackwatch® performs an advanced protocol analysis on packets in order to compare them to known attack signatures and allows the detection of polymorphic shellcodes, and any encoded payloads. | Better visibility over hidden threatsTrackwatch® embeds AI algorithms allowing the detection of complex attacks to be spotted (malicious PowerShell scripts, DGA attacks, SMB flows in ransomware attack scenarios...). Alert at the very first sign of an attackTrackwatch® detects the weak signals of fileless attacks and advanced threats not yet identified, thanks to a multi-vector analysis of network flows: static, dynamic and by machine learning. |
Operational as soon as it is set up, Trackwatch® combines machine learning algorithms that identify unknown activities with various network traffic analysis methods (static, dynamic and heuristic). This approach provides increased visibility on malicious actions in motion and contextualizes each alert.

datasheet_trackwatch_2022.pdf |