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LEDEUX

Cybersecurity reimagined — an adaptive digital twin that defends before threats emerge.

System Overview

LEDEUX revolutionizes cybersecurity through digital twin technology—creating a real-time virtual replica of your entire system environment. By continuously mirroring your infrastructure's behavior, LEDEUX establishes dynamic baselines of "normal" operations, enabling it to detect even the most subtle deviations that signal emerging threats.

Unlike traditional signature-based security that reacts to known threats, LEDEUX's AI-driven approach identifies anomalies and zero-day attacks through behavioral analysis. The system doesn't just monitor— it learns, adapts, and responds with autonomous containment protocols that neutralize threats before they can cause damage.

Core Capabilities

Continuous System Monitoring

Real-time observation of all system activities, network traffic, user behaviors, and application interactions. The digital twin maintains perfect synchronization with your live environment, creating a comprehensive operational mirror.

  • 24/7 network traffic analysis and logging
  • Process and application behavior tracking
  • User activity pattern monitoring
  • System resource utilization surveillance

AI-Driven Deviation Detection

Advanced machine learning algorithms continuously compare live system behavior against the digital twin baseline. Statistical anomaly detection identifies deviations that indicate potential security breaches, insider threats, or system compromises.

  • Behavioral anomaly detection with 99.2% accuracy
  • Zero-day threat identification through pattern analysis
  • Insider threat detection via user behavior analytics
  • Lateral movement and privilege escalation alerts

Automated Threat Containment

When threats are detected, LEDEUX doesn't wait for human intervention. Autonomous response protocols immediately isolate affected systems, terminate malicious processes, and implement defensive measures— containing breaches within seconds rather than hours.

  • Instant network segmentation and isolation
  • Automated malicious process termination
  • Dynamic firewall rule deployment
  • Credential rotation and access revocation

Real-Time Baseline Modeling

The digital twin continuously learns and updates its understanding of "normal" system behavior. This adaptive baseline accounts for legitimate changes in your environment, reducing false positives while maintaining vigilant threat detection.

  • Dynamic baseline adjustment for system changes
  • Contextual awareness of business operations
  • Seasonal and temporal pattern recognition
  • False positive reduction through adaptive learning

Threat Simulation & Testing

Use the digital twin environment to safely simulate attack scenarios without risking your production systems. Test defensive measures, validate incident response procedures, and identify vulnerabilities before adversaries exploit them.

  • Safe attack simulation in twin environment
  • Penetration testing without production risk
  • Incident response procedure validation
  • Security control effectiveness measurement

Resilience Scoring

Continuous assessment of your security posture through quantifiable resilience metrics. Track improvements over time, identify weaknesses, and demonstrate compliance with security frameworks through comprehensive scoring and reporting.

  • Real-time security posture scoring (0-100)
  • Vulnerability severity and exposure metrics
  • Compliance framework alignment tracking
  • Executive dashboards and trend analysis

Technical Architecture

Digital Twin Engine

High-fidelity system replication using containerized microservices and real-time data streaming. The twin maintains sub-second synchronization with production environments across network, compute, and storage layers.

AI/ML Threat Detection

Ensemble models combining supervised learning (for known threat patterns), unsupervised learning (for anomaly detection), and deep learning (for behavioral analysis). Models are continuously retrained on your environment's unique data.

Integration Framework

Native connectors for SIEM platforms (Splunk, QRadar, Sentinel), endpoint protection (CrowdStrike, SentinelOne), cloud providers (AWS, Azure, GCP), and network infrastructure (Cisco, Palo Alto, Fortinet).

Orchestration & Response

SOAR-integrated automated playbooks execute complex response actions across multiple security tools. Custom response workflows adapt to your organization's specific security policies and risk tolerance.

Compliance & Audit

Built-in compliance mapping for NIST CSF, ISO 27001, SOC 2, PCI DSS, HIPAA, and GDPR. Automated evidence collection and audit trail generation simplify compliance reporting and certification processes.

Implementation

Week 1-2: Environment Discovery

Network topology mapping, asset inventory, baseline data collection, integration setup

Week 3-4: Digital Twin Build

Twin environment construction, real-time sync configuration, baseline model training

Week 5-6: Detection Calibration

ML model tuning, threshold optimization, false positive reduction, response playbook setup

Week 7-8: Production Deployment

Full monitoring activation, SOC team training, incident response integration, ongoing optimization

Timeline: Small Teams (3–4 weeks) · Enterprise (6–8 weeks)

Measurable Impact

63%faster

Security breach containment time

74%reduction

Security incident recurrence rate

99.97%uptime

System availability and stability

92%detection

Zero-day threat identification rate

What LEDEUX Detects

Advanced Persistent Threats

Sophisticated multi-stage attacks that evade traditional defenses

  • Command & control communications
  • Data exfiltration attempts
  • Credential harvesting
  • Living-off-the-land techniques

Insider Threats

Malicious or negligent actions by authorized users

  • Unusual data access patterns
  • After-hours suspicious activity
  • Privilege abuse
  • Data hoarding before departure

Ransomware & Malware

Malicious software attempting to encrypt or damage systems

  • Rapid file encryption patterns
  • Unusual process spawning
  • Shadow copy deletion
  • Backup system targeting

Network Intrusions

Unauthorized access to network resources and systems

  • Port scanning and enumeration
  • Unauthorized service access
  • Network protocol anomalies
  • Geographic access irregularities

Supply Chain Attacks

Compromises through trusted third-party vendors or software

  • Vendor credential misuse
  • Software update anomalies
  • API abuse patterns
  • Unexpected dependency changes

Cloud Security Threats

Cloud-specific attack vectors and misconfigurations

  • Misconfigured storage buckets
  • Excessive IAM permissions
  • Unusual cloud API calls
  • Cross-tenant data leakage

Ideal Use Cases

Financial Institutions

Protect sensitive financial data and transactions with real-time threat detection. Meet stringent regulatory requirements while preventing fraud and data breaches.

Healthcare Organizations

Safeguard patient data and critical medical systems. Ensure HIPAA compliance while defending against ransomware targeting healthcare infrastructure.

Critical Infrastructure

Protect essential services like energy, water, and transportation from nation-state actors and advanced threats targeting OT and ICS environments.

Technology Companies

Defend intellectual property, source code, and customer data. Detect supply chain compromises and protect development pipelines.

Government Agencies

Secure classified information and critical government systems. Meet Zero Trust architecture requirements and defend against sophisticated adversaries.

Retail & E-Commerce

Protect payment card data and customer information. Prevent POS malware, credential stuffing, and account takeover attacks during high-volume sales periods.

Defend Before Threats Emerge

See how LEDEUX's digital twin technology can transform your cybersecurity posture.

Request Security Assessment