Defence AI Case Studies

Real-world governance implementations from leading defence organizations.

Mission-Critical Implementations

DoD Ethics

DoD AI Ethics Review

Implemented comprehensive DSRB-aligned ethical frameworks for autonomous targeting system.

Challenge

Major defence contractor needed to demonstrate ethical AI governance for lethal autonomous weapons in support of strategic review.

Solution

Developed 7-layer governance framework with integrated ethical oversight, decision logging, and human-in-the-loop controls aligned to DSRB review standards.

Outcome

DSRB approval granted; system deployed with full transparency and accountability mechanisms in place.

CMMC Compliance

CMMC AI Compliance

Achieved CMMC Level 3 certification for defence AI development and deployment infrastructure.

Challenge

Defence contractor struggled to maintain CMMC L3 compliance while training AI models on classified defence data.

Solution

Designed isolated, air-gapped training environments with cryptographic validation, role-based access, and continuous security monitoring for AI systems.

Outcome

Successful L3 certification achieved; ongoing compliance maintained across 12+ classified AI development teams.

Autonomous Systems

Autonomous Vehicle Governance

Established governance framework for autonomous tactical vehicle deployment in field operations.

Challenge

Military needed governance structure for autonomous supply vehicle that could operate without continuous human oversight in contested environments.

Solution

Implemented operational decision authority framework with defined escalation triggers, remote override capabilities, and real-time decision logging.

Outcome

Successfully deployed across 5 bases; achieved 99.7% mission success rate with zero unauthorized autonomous decisions.

Red Teaming

Military AI Red Team Exercise

Conducted adversarial testing of defence AI decision-support system before operational deployment.

Challenge

Combat system AI needed validation against nation-state level adversarial tactics before deployment to theatre.

Solution

Executed comprehensive red team exercise simulating adversarial examples, model poisoning, operator misuse, and system compromise scenarios.

Outcome

Identified 47 vulnerabilities; 44 patched before deployment; remaining 3 mitigated through operational constraints.