Our Solution
Key Solution Benefits
Improved Compliance
Ensuring adherence to regulatory frameworks like GDPR becomes seamless, mitigating the risk of data breaches and regulatory penalties.
Enhanced Security
Robust data handling processes and real-time threat detection mechanisms bolster security, safeguarding customer data and fostering trust.
Cost Efficiency
Reduced storage costs, efficient data processing, and lower TCO contribute to significant cost savings, enhancing operational efficiency and
competitiveness.
Scalability
The solution’s scalable architecture accommodates growing data volumes and operational demands, ensuring continued effectiveness without
exponential cost increases.
Core Principles
NS Edge Cybersecurity Observability is built upon foundational principles that redefine data management.
Store Histories, Not Logs
Shifting from machine-generated logs to human-readable narratives reduces storage and processing costs significantly, while providing essential context for events.
Enrich Close to the Source
Real-time enrichment of data upon ingest ensures accuracy, speed, and cost-efficiency, crucial for effective threat detection and compliance
All Data is Security Data
Every interaction, from login attempts to password resets, is treated as a potential security event, ensuring comprehensive threat coverage and regulatory compliance.
Tokenize Personally Identifiable Information (PII)
Secure storage of sensitive data is achieved through reversible tokenization, minimizing the risk of unauthorized access while maintaining compliance with KYC and AML regulations.
Take comfort in your organization
Competitive Advantages with NS Edge
- Scalability +50, 000 GB/ day
- Low processing power and
memory - Lower Total Cost of Ownership
- Stops threats before they compromise valuable data and assets
- Lower Carbon Footprint
Data Handling for Energy Resilience:
NS EDGE’s platform is designed to handle substantial volumes of data, scaling to process hundreds of terabytes per day.
It is source-agnostic, accommodating data from various hardware and software sources across networks.
Harnessing Emerging Technologies:
NS EDGE utilizes emerging technologies like the Rust programming language and advanced machine learning algorithms to redefine cybersecurity in the energy industry.
This innovative approach sets new standards for efficiency, speed, and accuracy in cybersecurity operations.
Graph-Contextualized Results:
NS EDGE delivers graph-contextualized, human-readable results, accelerating threat detection by visualizing complex data patterns and relationships in an intuitive format.
Micro-Segmentation Module
RISK: 100
Tightly-coupled networks are dangerous in an outbreak
RISK: 14
Limiting unnecessary contact or eliminating it entirely is critical!
AI algorithm manages isolation by applying the policy issued by corporate management players in order to reduce potential risk and to minimize unnecessary connections.
The AI of Risk Scoring Module will be responsible to send the proper request to Adaptive Micro-segmentation Engine to execute the above mentioned actions.