Interlog’s Adaptive Verification and Validation Supervisor Framework provides users to continuously monitors (i.e. characterize) the input data, output and behaviors of the target AI agents using an adaptive safety cage architecture. The framework  can perform: 1) a diverse novelty characterization and detection ensemble; 2) real-time AI monitoring and supervising; and 3) AI safety cage control.

Interlog’s approaches has developed and demonstrated a comprehensive scientific basis of verification and validation (V&V) for novelty-robust military AI applications. Our approaches are applicable across multiple application domains and degrees of autonomy (e.g., fully-autonomous, semiautonomous, human-machine partnership, etc.).