Target Assurance & Intel Decay Workbench
Audit algorithmic sensor fusion, intelligence half-life decay, and Collateral Damage Estimation (CDE) blast rings before strike authorization to prevent algorithmic errors and target misidentification.
Tactical Assessment & Geospatial Gate
Algorithmic Targeting & The Decay Model
Autonomous sensor fusion platforms (such as Maven Smart System) identify, classify, and track vehicular or structural coordinates using convolutional neural networks and geospatial telemetry. However, algorithms output confidence scores based solely on the moment of sensory ingestion.
In dynamic operational environments, target viability decays logarithmically over time:
C_effective = C_raw × e^(-λ × Δt) × CorroborationFactor
When an air assault order is executed rapidly without refreshed electro-optical imagery or persistent Full Motion Video (FMV), a previously occupied weapons storehouse may have reverted to community or civilian use.
Collateral Damage Estimation (CDE)
Under Joint Publication 3-60 (Targeting) and DoD Directive 3000.09, weapons release requires positive identification (PID) and verification that no protected civilian entities reside inside the weapon-specific Hazard Area ring.
Why did the February 2026 strike fail verification?
The post-action Pentagon investigation revealed three systemic failures: (1) Target intelligence was 96 hours old, well beyond the 12-hour mobile threshold; (2) Automated confirmation bias caused mission planners to accept an 88% model score without required drone FMV validation; (3) Tempo pressure reduced human review to under 4 minutes, missing an elementary school 130 meters away from the primary blast coordinate.
What is Multi-INT Quorum Verification?
Multi-INT requires at least two independent sensor disciplines (e.g., Satellite IMINT + Real-time FMV or Ground HUMINT) to agree on target classification within 30 minutes of kinetic release.