Proven Results Across Federal Modernization Programs
UBUN2GROUP has delivered secure, scalable modernization outcomes for defense and civilian agencies, from legacy system migration to AI-enabled automation. The case studies below highlight our work transforming static, manually operated environments into secure, cloud-ready platforms built for mission continuity and long-term growth.
Modernizing U.S. Coast Guard Direct Access for Secure Cloud Operations
USCG needed to modernize Direct Access without interrupting mission operations or compromising security requirements. Legacy environments suffered from configuration drift, privileged access required protection, and manual deployments limited consistency.
Supporting prime contractor Peraton, UBUN2GROUP migrated applications to GovCloud/OCI with near-zero downtime. The team established RMF-aligned landing zones, refactored components, upgraded systems to STIG-compliant versions, and achieved 100% MFA coverage for privileged access.
With the cloud foundation in place, UBUN2GROUP replaced manual deployments with CI/CD pipelines featuring security checks and approval gates. IaC standardized network, compute, and security baselines, giving USCG a secure platform for continued modernization.
Prime: Peraton
Challenge
- •On-premise, siloed infrastructure
- •Single-factor authentication
- •Manual, error-prone deployments
- •Environment drift, inconsistent builds
- •Outdated, non-STIG-compliant systems
- •No automated ATO evidence path
Solution
- •Lift-and-shift to GovCloud/OCI
- •MFA & role-based access controls
- •RMF-aligned cloud landing zones
- •CI/CD pipelines with security gates
- •Refactored apps, compliant middleware
- •Infrastructure-as-code baselines
Benefit
- •Stronger security posture, RMF-ready
- •Faster environment provisioning
- •ATO-ready, auditable CI/CD
- •Secure, automated cloud platform
- •Rapid modernization
- •Foundation for DevSecOps & AI
Outcome
Delivered a secure, automated, RMF/ATO-ready cloud platform, replacing legacy infrastructure and establishing the foundation for continued DevSecOps growth.
40–50%
Faster Deployments
80%
Fewer Manual Configuration Errors
Near-Zero
Downtime During Cloud Migration
100%
Privileged-Access MFA Coverage
OSMOSIS Data Migration and Cloud Modernization
The U.S. Coast Guard's National Pollution Funds Center (NPFC) needed to migrate complex legacy data into OSMOSIS without duplicates or quality issues reaching UAT.
Supporting Atlas Technologies, UBUN2GROUP built SQL scripts, staging processes, and Dataverse mappings for vessel, operator, owner, case, and certification data. The team added deduplication, migrated vessel data through ADF, and validated records for USCG UAT.
To accelerate large-scale mapping, UBUN2GROUP combined AskSage, a government-authorized GenAI platform, with RAG for crosswalk validation and transformation logic.
UBUN2GROUP also troubleshot Dataverse and Power Platform dependencies to prevent downstream issues and supported Azure security architecture, including financial data classification for a separately authorized enclave.
Prime: Atlas Technologies
Challenge
- •Fragmented, legacy NPFC data sources
- •Data-quality risks ahead of UAT
- •150,000 unmigrated claims documents
- •Unresolved financial data security gap
- •Manual, error-prone data mapping
- •Contractor-transition knowledge gap
Solution
- •Migrated core datasets into Dataverse
- •Reusable crosswalk & transform logic
- •AI/RAG-based migration automation
- •Resolved financial-data security gap
- •Resolved data-quality issues pre-UAT
- •Supported contractor knowledge transfer
Benefit
- •Reliable core data migration
- •Reusable migration framework
- •Faster migration mapping, delivery
- •Resolved security authorization gap
- •Reduced UAT rework risk
- •Preserved program knowledge continuity
Outcome
Migrated core NPFC datasets into OSMOSIS, applying AI-driven automation to accelerate delivery, reduce data-quality risk, and support scalable data operations.
≈10 TB
Legacy Data Migration Scope
≈150,000
Historical Claims Documents
AI/RAG
Migration Automation Applied
Pre-UAT
Data-Quality Issues Resolved