mala.dev
defense

AI Governance for
Defense & Government

Mission-critical decisions require mission-grade accountability.

FedRAMP
Authorization Path
Air-Gap
Deployment Ready
CMMC
Level 2+ Support
The Challenge

The Defense AI Challenge

Autonomous systems are informing logistics, threat assessment, and resource allocation. Congressional oversight and DoD AI principles demand full explainability and human control.

Regulatory Frameworks
FedRAMP
Federal Risk Authorization

Standardized security assessment for cloud services used by federal agencies.

CMMC
Cybersecurity Maturity Model

DoD cybersecurity framework for defense contractors.

ITAR
International Traffic in Arms

Controls export of defense-related articles and services.

DoD AI Principles
Responsible AI

Requires AI systems to be responsible, equitable, traceable, reliable, and governable.

Use Cases
01

Logistics Optimization

Document autonomous supply chain and resource allocation decisions.

→ Audit-ready proof of decision rationale for oversight

02

Threat Assessment

Capture the intelligence and policies that informed threat classifications.

→ Human-in-the-loop accountability for critical assessments

03

Procurement Decisions

Seal the criteria and evaluations behind vendor and contract decisions.

→ Defend acquisition decisions with cryptographic evidence

Deployment Options
Air-gapped deployment for classified environments
On-premise installation with no external dependencies
FedRAMP authorization path for cloud deployment
FIPS 140-2 compliant cryptography
In Their Words

"Case study coming soon"

Defense Contractor
Director of AI Programs
Private Alpha
Accountability for autonomous systems.

Contact us for defense and government deployment options.

Request Briefing