• Attack Surface Management | Criminal IP ASM Icon
    Attack Surface Management | Criminal IP ASM

    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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  • The #1 AI-Powered eLearning Platform Icon
    The #1 AI-Powered eLearning Platform

    For users seeking a platform to generate online courses using AI

    Transform your content into engaging eLearning experiences with Coursebox, the #1 AI-powered eLearning authoring tool. Our platform automates the course creation process, allowing you to design a structured course in seconds. Simply make edits, add any missing elements, and your course is ready to go. Whether you want to publish privately, share publicly, sell your course, or export it to your LMS, Coursebox has you covered.
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  • 1
    Woodland Potential Calculator

    Woodland Potential Calculator

    Woodland potential calculator GIS presentation application

    The Forestry Commission and Natural England commissioned a bespoke data collection and presentation tool for calculating the potential for increasing the extent of tree cover across the north west of England. The data was divided into sub-regions by landscape type using Natural England's Character Area classifications. The potential within each of these Character Areas was then estimated by working groups of local experts who were capable of making reasoned assessments of both the...
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