Comprehensive frameworks for defence AI systems, from policy to kinetic operations.
The CA3O framework unifies governance across three critical defence domains. It ensures AI systems operate safely within cyber security constraints while maintaining autonomous decision-making authority in multi-domain warfare scenarios.
Our comprehensive framework spans policy, technical, operational, ethical, legal, intelligence, and kinetic domains to ensure complete AI system governance.
High-level strategic direction for AI deployment within defence institutions, aligned with national security strategy and military doctrine.
DoD AI Strategy, CJCS guidance, service-specific AI roadmaps
AI governance councils, DSRB, ethics review committees
Risk management, capability development, force modernization
System design, security controls, data pipeline governance, and infrastructure requirements for military AI systems.
CMMC Level 3, encryption, access controls, threat detection
Architecture reviews, component auditing, supply chain validation
Classification, handling procedures, retention policies
Rules of engagement, escalation procedures, human-in-the-loop protocols, and decision authority frameworks.
AI engagement rules, target classification, authorization thresholds
Approval chains, override mechanisms, real-time monitoring
Operator certification, command staff education, red team exercises
Ethical principles, moral oversight, DSRB alignment, and accountability mechanisms for autonomous systems.
Proportionality, distinction, precaution, accountability
DSRB approval, ethics board oversight, stakeholder engagement
Decision logging, impact assessment, corrective action procedures
Compliance with international law, export controls, status of forces agreements, and domestic regulations.
IHL compliance, LOAC, force protection requirements
ITAR, EAR, export licenses, technology transfer restrictions
Liability, insurance, indemnification, dispute resolution
Threat assessment, vulnerability analysis, red team testing, and continuous assurance monitoring.
Adversarial tactics, attack vectors, exploitation scenarios
Adversarial probing, vulnerability discovery, mitigation validation
System health checks, anomaly detection, performance validation
Actual deployment, battle damage assessment, performance evaluation, and post-operation review.
System readiness, communications protocols, contingency procedures
Combat effectiveness, collateral analysis, decision quality review
System performance, operator feedback, improvement recommendations
We ensure your autonomous systems meet DSRB standards for ethics, safety, and strategic alignment. Our review process covers all aspects of autonomous decision-making systems.
Integrated CMMC Level 3 certification with AI-specific security controls designed for defence contractors handling classified data.
Secure storage, versioning, and deployment of AI models with cryptographic validation and integrity checks.
Classified data handling, secure training environments, sanitization procedures for AI model outputs.
Role-based access, multi-factor authentication, audit logging for all AI system interactions.
AI-powered security monitoring, anomaly detection, automated incident response for AI systems.
Adversarial testing, model robustness evaluation, ongoing security assessments.
Continuous monitoring dashboards, audit readiness, compliance documentation and evidence collection.
Our red team simulates adversarial tactics to identify vulnerabilities before systems enter operational service. We test against nation-state level threats.