Simple Secure Identity Management

Cloud IDaaS for Internet End Users, Applications and Devices


Whether users are local or spread across the world, they must connect quickly and reliably. The challenge is to secure the resources from the network point-of-presence to the end user locally or via global transit gateway over the public internet, without exposing any private data.
Check out our cyber security monitoring dashboards.


CyberSecurity Authentication and Network Dashboards: As one of the key pillars of Zero Trust, this is a critical component of any cloud security architecture. Contact us for a demonstration.  


Verviam Dashboards - Overview

Verviam Dashboards - Detection

Verviam offers a range of cyber security monitoring solutions for internet access, work from home, multi-cloud network connections to and from enterprise data centers - custom solutions integrating existing logging and monitoring. Automated Logging and Monitoring Services include: - Network Layer Access, Authentication Gateway, Web Application Firewall, Developer and Administrator Access, Anomaly Reporting, Alerts and Alarms. Best practice Security Reference Architecture contains specifications for the key deliverables. See Cloud Migration Security Guide

Today, public cloud service networks provide optimised performance to access protected resources via global private networks. These advances enable a new level of automation and artificial intelligence of transport, agribusiness, manufacturing and energy distribution to name a few, at a fraction of past private network costs. However, the last mile from the private network to the end user is still either a porous VPN or the public internet. And this is where the data breaches are occurring.

Security Monitoring, Logging, SIEM, Endpoint Prevention and Detection, and SOAR (Security Orchestration Automated Response) technology dashboards are based on machine learning and AI capabilities from collected data to identify potential and actual attacks. AI models use multiple linear regression analysis of past events as training for detection and prevention models. As collected data  accelerates, major refinements will become available over the coming decade. Operational logs have  to be carefully analyzed for insight capabilities for both streaming and time series data.  Verviam offers semi automated CSMS with the potential for training anomaly detection over time with sufficient data from particular Customer Use Cases.