For security operations, threat-intelligence and risk teams wanting a tool to get access to auto-monitored assets exposed to attack surfaces
Criminal IP’s Attack Surface Management (ASM) is a threat-intelligence–driven platform that continuously discovers, inventories, and monitors every internet-connected asset associated with an organization, including shadow and forgotten resources, so teams see their true external footprint from an attacker’s perspective. The solution combines automated asset discovery with OSINT techniques, AI enrichment and advanced threat intelligence to surface exposed hosts, domains, cloud services, IoT endpoints and other Internet-facing vectors, capture evidence (screenshots and metadata), and correlate findings to known exploitability and attacker tradecraft. ASM prioritizes exposures by business context and risk, highlights vulnerable components and misconfigurations, and provides real-time alerts and dashboards to speed investigation and remediation.
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For tour and activity providers
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simple tracking of laboratory purchases and materials
Note: This project has been migrated to:
https://github.com/graik/labhamster
Labhamster is a simple Django project for tracking materials and reagants ordered for a scientific laboratory and offers a rudimentary inventory management. For now it is not much more than the out-of-the-box Django admin interface with a pretty standard data model.
ZIMS is a zope-based inventory management system that handles hardware and software tracking, with license compliance checking, a built in helpdesk/task system, advanced reporting features, and xml-rpc support for remote data interaction.