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GLIMPS Malware Kiosk
File malware analysis portal for end users using deep learning detection.

GLIMPS Malware Kiosk
File malware analysis portal for end users using deep learning detection.
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GLIMPS Malware Kiosk Description
GLIMPS Malware Kiosk is a file analysis portal designed to enable non-technical end users to scan files for malware threats without requiring cybersecurity expertise. It allows employees to submit files via drag-and-drop from various sources — including email attachments, USB drives, web downloads, and collaborative applications — and receive an immediate, user-readable verdict on whether a file is safe or potentially malicious. The product is built on GLIMPS's deep learning-based detection engine, which uses over 25 extraction and analysis engines before potential detonation of a file. It is capable of handling all file formats and programming languages, and can detect 0-day threats, variants, polymorphic malware, evasive threats, and APTs. Key functional aspects include: - Organization-wide access controlled via email domain authentication - Analysis results visible to the submitting user for up to 7 days - Customizable response messages when a malicious detection occurs - An expert interface mode available for IT, SOC, and CERT teams to review detailed investigation results - Integration with SOC environments and contribution to Threat Intelligence workflows The platform is available as both a SaaS and on-premises deployment, with data processed in a closed environment (no data leaves the platform). The product is developed and hosted in France and Europe, positioning it for organizations with data sovereignty requirements.
GLIMPS Malware Kiosk FAQ
Common questions about GLIMPS Malware Kiosk including features, pricing, alternatives, and user reviews.
GLIMPS Malware Kiosk is File malware analysis portal for end users using deep learning detection. developed by GLIMPS. It is a Security Operations solution designed to help security teams with Malware Analysis, Malware Detection, File Analysis.
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