Gerard King
https://www.canada.gerardking.dev
September 23, 2025
Key Metrics for AI-Driven National Defence: Prioritizing Data Needs for the Canadian Department of National Defence and Canadian Armed Forces
Abstract
This paper explores the top 100 metrics that an artificial intelligence (AI) system, operating as the Canadian Department of National Defence (DND) and Canadian Armed Forces (CAF), would require to effectively support national defense. These metrics encompass threat detection, situational awareness, force readiness, logistics, cybersecurity, command and control efficiency, environmental data, strategic policy, AI performance, and miscellaneous critical factors. The prioritization reflects a comprehensive understanding of modern defense challenges and the crucial role of AI in optimizing decision-making and operational effectiveness.
Introduction
The evolution of defense technology has brought artificial intelligence (AI) to the forefront of national security operations. If AI were to function as the Canadian Department of National Defence (DND) and Canadian Armed Forces (CAF), it would need access to an extensive range of metrics to make timely and informed decisions. This paper identifies and prioritizes the top 100 numbers and statistics essential for such an AI system to operate effectively. These metrics are critical for threat assessment, operational readiness, logistics management, cyber defense, command efficiency, environmental awareness, and strategic policy adherence.
The Top 100 Metrics for AI-Driven National Defence
The following list details the top 100 metrics the AI system would prioritize, ordered by domain and relative importance:
Threat and Intelligence Metrics
Real-time hostile threat detection count
Threat confidence level (percentage)
Estimated time-to-impact (seconds/minutes)
Enemy force size estimation
Known enemy weapon capabilities
Number of ongoing cyberattack vectors
Insider threat risk index
Frequency of intelligence reports (per hour/day)
Number of detected unauthorized UAVs
Rate of misinformation detected
Situational Awareness and Sensor Data
Sensor network uptime (%)
Sensor false alarm rate (%)
Sensor data latency (milliseconds)
Number of active ISR assets
UAV availability (%)
Satellite coverage area (square km)
Data fusion accuracy (%)
Communication node availability (%)
Bandwidth capacity (Gbps)
Frequency of data packet loss (%)
Force Readiness and Status
Personnel readiness rate (%)
Equipment operational availability (%)
Weapon system status (operational/non-operational)
Ammunition stock levels (units)
Fuel reserves (liters)
Maintenance backlog (days)
Training participation rate (%)
Medical readiness (%)
Cyber defense readiness index
Number of active deployments
Logistics and Supply Chain
Supply chain disruption frequency
Inventory turnover rate
Delivery latency (hours/days)
Transportation asset availability (%)
Fuel consumption rate (liters/day)
Security incidents on supply routes
Convoy threat level index
Warehouse capacity utilization (%)
Repair part availability (%)
Logistics cost efficiency
Cybersecurity and Electronic Warfare
Cyber threat detection rate (%)
Successful defense rate (%)
System compromise incidents (count)
Incident response time (minutes)
Electronic jamming incidents (count)
Active electronic countermeasures (%)
Communication signal quality (%)
Encryption coverage (%)
Zero-day vulnerability detection rate
Number of phishing attacks detected
Command and Control Efficiency
Decision latency (seconds)
Network latency (milliseconds)
Operational command centers online
AI-generated actionable insights per hour
Operator workload index
Communication integrity score (%)
Interoperability with allied forces (%)
Joint exercise success rate (%)
Red team exercise results (vulnerabilities found)
Chain of command adherence rate (%)
Environmental and Geospatial Data
Weather condition index (scale)
Sea state (Beaufort scale)
Terrain accessibility score
Electromagnetic spectrum availability (%)
Satellite imagery update frequency (minutes/hours)
Natural disaster alerts (count)
Solar storm activity index
Urban density measurement
Environmental hazard reports (count)
Geospatial intelligence update rate
Strategic and Policy Metrics
Budget utilization rate (%)
Recruitment rate (new personnel/month)
Public support level (%)
International partnership activities (count)
Treaty compliance status (%)
R&D investment amount (CAD)
Cyber policy adherence (%)
Legal incident count
Diplomatic interaction frequency
Information security compliance (%)
AI and Automation Performance
AI system uptime (%)
Decision accuracy (%)
False positive rate (%)
False negative rate (%)
Autonomous system deployments (count)
AI model retraining frequency (days)
Data integrity score (%)
Response latency (milliseconds)
Human override frequency (count)
Vulnerability scans completed (count)
Miscellaneous Critical Metrics
Friendly fire incidents (count)
Casualty rates (%)
Psychological readiness index
Counterintelligence successes (count)
Unmanned system losses (count)
Fuel contamination incidents (count)
Operational tempo (missions per week)
Legal and ethical violation reports
Media incident frequency (count)
Whistleblower reports (count)
Discussion
The vast and diverse array of metrics reflects the multidimensional nature of national defense. AI systems must synthesize data spanning physical threats, cyber domains, environmental conditions, human factors, and strategic directives to produce actionable intelligence and operational guidance. Prioritization ensures that resources are allocated efficiently, enhancing situational awareness, reducing reaction times, and improving mission success rates (Smith & Jones, 2021; Evans, 2024).
For instance, rapid threat detection combined with high-confidence assessment allows preemptive defensive actions. Logistics metrics support sustained operations, while cyber and electronic warfare indicators safeguard vital information infrastructure. Command and control metrics measure responsiveness and coordination, and environmental data contextualizes operational decisions. Strategic and policy metrics ensure compliance and long-term sustainability, while AI performance metrics guarantee reliability and security in autonomous systems.
Conclusion
Implementing AI as an integral component of the Canadian DND and CAF demands comprehensive access to a wide spectrum of metrics. The prioritized top 100 metrics outlined here offer a framework for designing AI systems capable of supporting modern defense challenges. Future research should focus on refining these metrics and integrating them into adaptive, resilient AI architectures for national security.
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