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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.
'geoconv' is a package to use with R (r-cran). This package is made of functions to convert geographic coordinates and to project geographic coordinates.
Handling and basic analysis of hyperspectral data in R
The hsdar package contains classes and functions to manage, analyse and simulate hyperspectral data. These might be either spectrometer measurements or hyperspectral images through the interface of rgdal.
Teams of all sizes and in various industries that want the best time tracking and employee monitoring solution.
It's easy with Hubstaff, a time-tracking and workforce management platform that automates almost every aspect of running or growing a business. Teams can track time to projects and to-dos using Hubstaff's desktop, web, or mobile applications. You'll be able to see how much time your team spends on different tasks, plus productivity metrics like activity rates and app usage through Hubstaff's online dashboard. Most of the available features are customizable on a per-user basis, so you can create the team management tool you need.
A set of R functions (www.r-project.org) for simple hydrological models, based on linear and non-linear storages, MC simulation and multi-objective evaluation. The code provided here is aimed to be transformed into a proper R package at some point.
An R package for visualising global scale data by easy import & display of country level & gridded data. Rworldmap will also provide access to existing datasets from earth to social sciences and facilitate their combination to provide insights for policy