How it Works
A I – POWERED CYBERSECURITY OBSERVABILITY
NS Edge Cybersecurity Observability is built upon foundational principles that redefine data management.
Translates threats into
human-readable
format using graphs
Improved preparedness against Advanced Persistent Threats
Predicts probable ways of intrusion with Deep Learning
CLIENT’S USE CASE
Objectives
Enhance the resilience of the internal
infrastructure network.
Gain a comprehensive understanding of
the connections between network
endpoints.
Increase preparedness against DDoS and
Advanced Persistent Threat (APT) attacks.
Improve the capacity for processing large
volumes of security logs to enable real time
threat detection.
Outcome
Efficient Data Processing:
Utilizing cutting-edge technology to process large volumes of data efficiently, with minimal resource utilization—comparable to a standard laptop. This resulted in minimal CPU (10%) and RAM (30%) usage, significantly reducing operational costs.
Storage Optimization:
Drastically reduced the need for storage capacity by a factor of 1000, enhancing manageability and cost- effectiveness.
Real-Time Threat Detection and Behavior
Prediction:
Enabled real-time detection of Advanced Persistent Threats, providing clear visibility into targeted endpoints.
The predictive analytics feature assesses the behavior of each machine on the network, enabling proactive issue management.
Dynamic Infrastructure Mapping:
Employs sophisticated AI to dynamically map the entire network infrastructure, offering real-time visualizations of how each machine connects with the external world.
This capability ensures that any potential vulnerabilities can be identified and addressed swiftly.
Dynamic Firewall Integration:
Utilizes processed data to dynamically update the Firewall’s Access Control List database, thus enhancing network defense responsiveness.
Reduced Environmental Impact:
Significant reduction in the carbon footprint associated with security monitoring operations.