🏢 Sector Analytics Dashboard

Cross-Sector Intelligence & Collaboration

🌐 Sector Overview

🏦
Health Score
94

Financial Services

Threats Tracked: 342

Critical: 45

Prevented Losses: $45.2M/mo

Organizations: 42

Top Threats: Banking trojans, wire fraud, insider trading

🏥
Health Score
89

Healthcare

Threats Tracked: 267

Critical: 38

Protected Records: 5.6M PHI

Organizations: 28

Top Threats: Ransomware, medical device attacks, PHI theft

Health Score
97

Energy & Utilities

Threats Tracked: 189

Critical: 52

Facilities Protected: 234

Organizations: 15

Top Threats: ICS/SCADA attacks, nation-state APTs

💻
Health Score
92

Technology

Threats Tracked: 456

Critical: 67

Zero-Days Found: 45/quarter

Organizations: 58

Top Threats: Zero-days, supply chain, IP theft

🛒
Health Score
87

Retail

Threats Tracked: 312

Critical: 29

Prevented Losses: $23.1M/mo

Organizations: 36

Top Threats: POS malware, e-skimming, payment fraud

🏛️
Health Score
98

Government

Threats Tracked: 523

Critical: 89

Campaigns Tracked: 523

Organizations: 12

Top Threats: Nation-state APTs, espionage, hacktivism

🔄 Cross-Sector Protection Matrix

How sectors protect each other through collaborative intelligence sharing

🏦
Finance
🛒
Retail

Protection Value: Fraud pattern detection

Shared Intelligence: 156 fraud patterns/month

Impact: $23.1M losses prevented

Reduction: 85% payment card theft reduction

🏥
Healthcare
🌐
All Sectors

Protection Value: Ransomware early warning

Shared Intelligence: Real-time ransomware alerts

Impact: $62.3M ransom payments prevented

Speed: 3.2 days earlier detection

💻
Technology
🌐
All Sectors

Protection Value: Zero-day vulnerability disclosure

Shared Intelligence: 45 zero-days/quarter

Impact: All sectors protected before exploitation

Coverage: 100% pre-exploitation protection

🏛️
Government
Energy

Protection Value: Nation-state threat intelligence

Shared Intelligence: APT campaign tracking

Impact: Zero successful infrastructure attacks

Coverage: 100% nation-state threat coverage

🔀 Threat Migration Patterns

How threats move between sectors and average migration times

🏥 Healthcare 🏦 Finance
3.2 days
Average migration time
Pattern: Ransomware campaigns typically appear in healthcare 3.2 days before targeting financial institutions
💻 Technology 🛒 Retail
5.7 days
Average migration time
Pattern: Supply chain attacks discovered in tech sector migrate to retail within 5.7 days
🏦 Finance 🛒 Retail
2.1 days
Average migration time
Pattern: Payment fraud techniques evolve from finance to retail in 2.1 days on average

Mesh Advantage: Cross-sector intelligence sharing provides 2-5 days of early warning before threats migrate to your sector, enabling proactive defense instead of reactive response.

Compliance Status by Sector

🏦 Finance

PCI-DSS: 96%
SOX: 93%
GLBA: 91%

🏥 Healthcare

HIPAA: 94%
HITECH: 91%
FDA: 89%

Energy

NERC CIP: 97%
TSA Pipeline: 94%
DOE: 92%

💻 Technology

GDPR: 89%
CCPA: 87%
SOC 2: 91%

🛒 Retail

PCI-DSS: 93%
GDPR: 88%
CCPA: 85%

🏛️ Government

FISMA: 98%
FedRAMP: 96%
CMMC: 95%

Legend: 90%+ = Excellent | 80-89% = Good | <80% = Needs Improvement

Cross-Sector Intelligence Delivers 3.4x Better Protection

Eliminate blind spots through collaborative threat sharing across 6 sectors