SOC Critical Infrastructure Resilience App

See the Breaking Point Before It’s Too Late

Predict Risks
Prevent Failures
Protect Systems

Step 1: Select Critical Infrastructure Network

Critical infrastructure systems—such as power grids, finance, transport, and communications—are vulnerable to cascading disruptions when pressure builds at key nodes. This interface helps monitor stress buildup, detect weak points, and anticipate where failures may spread next.

What You Can Do: Select a system to track stress propagation, simulate disruption scenarios, and coordinate preventive measures before critical links collapse.

⚡ Power Grid Network

CRITICAL

Hierarchical power distribution network with major substations and generation facilities. High hub concentration makes this vulnerable to coordinated attacks targeting 3-5 critical nodes simultaneously.

Modeled Threats: Alpha Team, Beta Collective
85 Critical Nodes Cascade Risk: EXTREME

🏦 Financial Services Network

HIGH

Interconnected financial messaging and clearing systems with major banking institutions. Small-world topology creates potential for systemic financial cascade failures.

Modeled Threats: Gamma Syndicate, Delta Force
67 Major Institutions Cascade Risk: HIGH

🚛 Transportation & Logistics

HIGH

Major ports, rail hubs, and trucking networks essential for supply chain resilience. Geographic topology with coordinated attacks on key logistics nodes could trigger nationwide supply disruptions.

Modeled Threats: Epsilon Group, Zeta Alliance
52 Critical Hubs Cascade Risk: HIGH

📡 Communications Infrastructure

MEDIUM

Telecommunications backbone including Internet Exchange Points, data centers, and satellite networks. Scale-free topology is more resilient due to redundancy but vulnerable to targeted attacks.

Modeled Threats: Eta Collective, Theta Labs
73 Key Nodes Cascade Risk: MEDIUM

SOC Analysis in Progress

Analyzing cascade attack scenarios...
Initializing threat simulation...

Real-time Analysis

Establishing baseline network state...

Executive Summary

CRITICAL
Overall Risk Assessment
87%
Cascade Failure Probability
4.2h
Mean Time to Cascade
HIGH
Network Impact Level

Key Findings

Critical Nodes
Attack Pathways
Mitigation Strategies
Research Insights
Technical Analysis

High-Value Network Nodes

Infrastructure nodes that, if compromised, would trigger the most severe cascade failures.

Critical Interdependencies

Cross-sector dependencies that amplify cascade effects.

Most Dangerous Attack Sequences

Initial Access Vectors

Recommended Hardening Measures

Detection Strategies

Research Requirements

Threat Indicators

SOC Model Parameters

Network Topology Analysis