Dun and Bradstreet Risk Analytics - Supplier Intelligence
Use an AI-powered solution for supply and compliance teams who want to mitigate costly supplier risks intelligently.
Risk, procurement, and compliance teams across the globe are under pressure to deal with geopolitical and business risks. Third-party risk exposure is impacted by rapidly scaling complexity in domestic and cross-border businesses, along with complicated and diverse regulations. It is extremely important for companies to proactively manage their third-party relationships. An AI-powered solution to mitigate and monitor counterparty risks on a continuous basis, this cutting-edge platform is powered by D&B’s Data Cloud with 520M+ Global Business Records and 2B+ yearly updates for third-party risk insights. With high-risk procurement alerts and multibillion match points, D&B Risk Analytics leverages best-in-class risk data to help drive informed decisions. Perform quick and comprehensive screening, using intelligent workflows. Receive ongoing alerts of key business indicators and disruptions.
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Skillfully - The future of skills based hiring
Realistic Workplace Simulations that Show Applicant Skills in Action
Skillfully transforms hiring through AI-powered skill simulations that show you how candidates actually perform before you hire them. Our platform helps companies cut through AI-generated resumes and rehearsed interviews by validating real capabilities in action. Through dynamic job specific simulations and skill-based assessments, companies like Bloomberg and McKinsey have cut screening time by 50% while dramatically improving hire quality.
This is a apache v2.0 authentication module. Based on html form authentication and cookie authentication session. Cookie session are stored in memcache deamon. Can be used has an simple "Single Signe-On" (SSO).
All the code source and the bug tracking has migrated to github:
https://github.com/ZenProjects/Apache-Authmemcookie-Module
All the documentation are here:
https://zenprojects.github.io/Apache-Authmemcookie-Module/
Set limits on per-day total usage for Linux/Unix users
pam_duration provides a module for the Pluggable Authentication Module (PAM) authorization framework that sets per-day limits on total usage by particular Linux/Unix users on a single system. Limits can be configured by day of the week, so, for example, weekend limits can be different from weekdays.
It also provides a service to ensure logout when the specified time limit expires.
Provide an LDAP client API for Python, C wrapper module around OpenLDAP 2.x with an object-oriented API, several additional modules for processing LDIF, LDAP URLs and LDAP schema information
Moved to github, https://github.com/jamiesonbecker/pam_redirector
Moved to github, https://github.com/jamiesonbecker/pam_redirector
A pluggable authentication module (PAM) that allows redirection of login credentials to a local UNIX stream socket server and includes an example 33-line simple socket server (written in Python) just to show how easy it is to do this redirection.
Moodss is a modular monitoring application, composed of a GUI and a daemon, which supports any device or process for which a module can be developed. Complete dashboards with graphical viewers, thresholds, SQL database archiving, ... can be managed.