AI is moving into mission planning, perception, analytics, and decision-support workflows across defense environments, and as these systems approach operational use, programs need practical ways to judge whether a model behaves reliably under the conditions it will actually face. Software assurance processes and documentation reviews were not built for this. They can confirm what a model claims, but they offer limited visibility into how it behaves under stress, whether a failure can be reproduced, or how a weakness might affect the mission workflow downstream.
At MODSIM World, ObjectSecurity will present “Evidence-Based AI Assurance for Mission-Critical Environments,” a session on evaluating vision models and large language models before they are integrated into operationally relevant systems. The talk looks at what it takes to assess model behavior from the inside rather than from inputs and outputs alone, and how evidence-backed evaluation fits emerging modeling and simulation environments, including simulation-enabled decision support, synthetic training, and mission rehearsal. ObjectSecurity will share practical evaluation methods, lessons learned from pilot-style assessments, and the current limits of automated AI assurance, with the goal of identifying model weaknesses earlier in the lifecycle and supporting more informed engineering and risk-management decisions.
