Zero Trust Security: What Small Businesses Need to Know Explore the solution
Overview 

Bring Every Security Signal Into One Intelligent Layer

NewEvol’s Unified Data Architecture unifies telemetry from hybrid, multi-cloud, and on-premises environments, transforming scattered security data into actionable intelligence. It provides SOC teams across USA, MEA, India, Spain, and Malaysia real-time visibility, reduced blind spots, and enhanced operational efficiency.

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use cases

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integrations

Features

Centralize. Correlate. Make Data Work for You.

Centralized Data Lake & Cross-Environment Integration

Aggregate logs, events, and telemetry from cloud, on-prem, hybrid, OT, and applications into a scalable, unified data lake.

High-Speed Search & Query Engine

Run instant searches and correlations across massive data volumes for faster threat detection.

Schema-Flexible Ingestion

Ingest structured, semi-structured, and unstructured data with automated normalization and enrichment.

Unified Correlation Layer

Correlate signals from diverse tools to detect patterns, anomalies, and complex multi-stage attacks efficiently.

Benefits

Turn Scattered Data into a Strategic Security Advantage

Complete Visibility Across the Enterprise

Break silos and gain a unified view of all security signals across assets and environments.

Faster Threat Detection & Investigation

Correlated, enriched data speeds up analysis and reduces investigative effort.

Scalable Data Operations

Handle large enterprise data volumes without performance degradation.

Improved Decision-Making

Access organized, contextualized data that supports faster, smarter SOC response.

Lower Storage & Processing Costs

Optimize retention and storage tiers to keep budgets under control.

Future-Ready Architecture

A flexible, extensible design that supports evolving tools, workloads, and regulations.

Inside the NewEvol Unified Data Architecture

Every Log. Every Alert. Every Signal, Unified and Ready for Action

One Architecture. Complete Visibility.

NewEvol’s Unified Data Architecture gives SOC teams a single, high-performance environment to manage and analyze security data. With dashboards, intelligent normalization, correlation graphs, and visual mapping, teams detect anomalies, uncover relationships, and understand attack paths efficiently across any environment.

How It Works

Build a Strong, Consistent Data Foundation for Security Analytics

1
Steps

Ingest & Normalize

Collect and standardize logs, alerts, and telemetry from every security, cloud, and infrastructure source.

2
Steps

Store & Organize

Use a scalable data lake with intelligent tiering to retain, classify, and optimize security data.

3
Steps

Correlate & Analyze

Detect patterns and anomalies with unified correlation models and high-speed querying.

4
Steps

Visualize & Act

Leverage dashboards, charts, mapping tools, and AI-driven insights to support rapid security decisions.

Redefine How Your SOC Operates.

Unify Data. Amplify Security.

Build a scalable, intelligent, future-ready security data foundation with NewEvol, unifying fragmented visibility into seamless, actionable analytics across environments.

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testimonials

Hear what our clients say real stories, real impact

This case study highlights the deployment of a secure, machine learning–driven security analytics platform for a government environment operating a fully air-gapped, high-availability SIEM infrastructure. To address strict compliance requirements, offline operations, and the need to detect unknown threats, a UEBA solution was integrated alongside the existing SIEM to support 16 critical use cases using machine learning–based behavioral baselines. The solution enabled selective data collection for only high-priority use cases, ensured full compliance with CIS OS benchmarks and a 24-hour critical patch SLA, and introduced an offline threat intelligence capability with internal enrichment via SOAR. As a result, the customer achieved enhanced anomaly detection, improved threat visibility, and a compliant, scalable security architecture aligned with stringent government security standards.

Case study

Singapore

This case study describes how a government entity partnered with NewEvol to implement a comprehensive cybersecurity management platform to protect a large-scale deployment of connected devices across public environments. Facing challenges related to regulatory compliance, device tampering, and the detection of both emerging and unknown threats, the client required an advanced, intelligent security solution. NewEvol delivered an integrated platform combining SIEM, SOAR, analytics, threat intelligence, and log collection, enhanced with machine learning–based analytics. The solution enabled continuous monitoring, automated incident response, proactive threat intelligence updates, and anomaly detection, ensuring regulatory compliance while strengthening overall operational resilience.

Case study

India
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