Secure, AI-driven cloud migration for DoW using CloudHedge

Somewhere in the Department of War (DoW), a mission-critical application is running on a codebase that’s older than some of the soldiers who depend on it. It works, but every day it stays unmodernized is a day of compounding risk: security vulnerabilities, rising maintenance costs, and a widening gap between warfighter needs and information technology (IT) capability.

CloudHedge, running on Amazon Web Services (AWS), was built for exactly this moment. Powered by the generative AI capabilities of Amazon Bedrock, the CHAI™ platform brings together automated discovery, AI-driven transformation, and defense-grade security to modernize the applications that matter most, faster and more securely than ever before.

CloudHedge’s CHAI platform brings together three transformative components: DART (Discovery, Assessment, and Rationalization Tool), Flow Federal Edition, and CHAI Universe Model Context Protocol (MCP). All three components are grounded in the intelligence of Amazon Bedrock. These tools work in concert to provide a complete, AI-driven solution for modernizing legacy applications while maintaining the highest security standards required by the DoW.

The following graphic illustrates the migration and transformation flow of data. It begins with DART for a combined source code, workload, and application assessment and relevant recommendations. Then, it uses Flow for migration and modernizations from lift and shift and containers to direct-to-agentic AI app modification. The entire flow is powered by Amazon Bedrock.

Figure 1: CHAI MCP data pipeline

DART: The intelligence behind the migration

DART forms the foundation of CloudHedge’s modernization process, with its capabilities dramatically amplified by Amazon Bedrock for unified intelligence and reinforcement learning.

Unlike traditional methods relying on manual surveys, DART delivers automated, comprehensive application intelligence through its Tri-Vector Analyzer assessment approach. CHAI captures information from source code assessments, runtime assessments, and workload assessments, creating an accurate picture of an application landscape. The platform captures detailed inventories of applications, dependencies, and hardware utilization without human intervention, along with available source code analysis, then applies AI-powered reasoning to shape modernization strategy.

Amazon Bedrock enables DART to analyze legacy codebases, uncover hidden dependencies, and assess technical debt with expert-level nuance. It intelligently predicts migration complexity, flagging compatibility issues early, and generating context-aware recommendations for each application’s optimal modernization path. Where source code isn’t available—for example, in third-party commercial off-the-shelf (COTS) applications or vendor-locked systems—CHAI can profile applications using both runtime and workload-based assessments.

Executing the transformation with Flow Federal Edition

Flow Federal Edition takes DART’s AI-enhanced insights and transforms them into executable action. Rather than relying on generic migration templates, Flow uses Amazon Bedrock to generate custom containerization strategies, infrastructure as code (IaC) configurations, and deployment blueprints tailored to each application’s unique characteristics and DoW compliance requirements.

Amazon Bedrock analyzes application architectures and automatically determines the optimal approach, containerizing workloads for Amazon Elastic Kubernetes Service (Amazon EKS) or optimizing them for Amazon Elastic Compute Cloud (Amazon EC2). Kubernetes manifests and Terraform configurations are generated with Security Technical Implementation Guide (STIG) compliance embedded from the start. The Amazon Bedrock assessment of AWS Graviton workloads provides optimal performance, cost efficiency, and mission alignment.

The following architecture diagram illustrates the workflow. Applications are migrated to AWS using AWS Application Migration Service to lift and shift, then either containerized into Amazon EKS or placed on Amazon EC2. Direct-to-containers and direct-to-agentic application deployments are available.

Figure 2: CloudHedge workflow

CHAI MCP offers sovereign intelligence for secure environments

The core of CloudHedge’s AI integration is CHAI MCP. It’s a groundbreaking capability that brings Amazon Bedrock generative AI directly into secure, air-gapped DoW environments. CHAI MCP delivers what CloudHedge calls “sovereign intelligence”: AI-driven modernization insights and assistance that never require data to leave the protected enclave. Context injection enriches every model call with CloudHedge’s patented Tri-Vector Assessment, a multidimensional evaluation framework that provides a precise, actionable view of an application’s cloud readiness, ensuring context-aware responses rather than generic outputs.

Through a natural language interface, DoW teams can interact with CHAI MCP to query modernization assessments, request architectural recommendations, and receive plain-language explanations of complex migration decisions and still maintain complete data sovereignty. Amazon Bedrock models power these interactions, but data remains firmly within the secure environment, maintaining compliance with the most restrictive DoW data handling requirements.

CHAI MCP also serves as the intelligent orchestration layer between DART’s discovery data and Flow’s execution capabilities. It synthesizes runtime data, network traffic patterns, licensing information, and application dependencies, then uses Amazon Bedrock to generate comprehensive modernization blueprints complete with risk assessments, effort estimates, and sequencing recommendations. These blueprints are not static documents but living artifacts, refined through conversational interaction, allowing architects and mission owners to explore hypothetical scenarios and adjust strategies in real time. The result is a modernization experience where human expertise is amplified, not replaced.

Meeting DoW standards for security and compliance with AI-enhanced vigilance

CloudHedge’s security framework stands as one of its differentiators, and when combined with the intelligence of Amazon Bedrock, it becomes an enabler for DoW modernization. Architected from the ground up to meet the most demanding defense requirements, the standalone platform can support Impact Level (IL) 4 or 5 workloads. CloudHedge additionally supports the stringent requirements of IL6 through various pathways, such as cold migration and virtual machine (VM) export. Regardless of application sensitivity or data classification, CloudHedge is equipped to handle it while maintaining the strict security protocols that DoW missions demand.

Amazon Bedrock elevates this security posture well beyond rule-based automation. By intelligently analyzing security scan outputs, surfacing vulnerability patterns, and prioritizing remediation based on mission impact and exploit likelihood, Amazon Bedrock enables security teams to respond faster and more effectively than traditional alert-driven approaches allow. During containerization, Amazon Bedrock continually validates IaC configurations against STIGs and DoW security policies. When deviations are detected, it doesn’t merely flag them. It explains their significance, predicts potential impact, and recommends compliant alternatives that preserve functional requirements. The result is a platform that doesn’t merely check compliance boxes but actively reinforces the integrity of every workload it touches. This gives DoW organizations the confidence to modernize faster, smarter, and without ever loosening their grip on security.

Accelerating mission-critical migrations

CloudHedge’s real-world impact on modernization can be seen in one implementation where the platform modernized a complex Army logistics system running on a legacy .NET codebase that had been in operation for more than two decades. The agency benefited from CloudHedge tooling that drove a 900% improvement in delivery speed, compressing the estimated 24-month timeframe to only 10 weeks. This efficiency enabled a reduction of more than 25,000 human hours in overall effort to assess, plan, modernize, and deploy on AWS GovCloud (US). For the DoW, where modernization pace is directly tied to mission readiness, this acceleration is operationally significant.

These outcomes are powered by the synergy between CloudHedge’s automation capabilities and Amazon Bedrock intelligent reasoning. By eliminating the manual assessment phases, iterative troubleshooting, and decision bottlenecks that slow traditional migrations, CloudHedge delivers:

• AI-driven dependency mapping
• Cloud-agnostic workload portability across Amazon EKS and Amazon EC2
• Integrated DevSecOps pipelines with context-aware security validation
• Predictive AWS service configurations tailored to mission requirements

This forms a modernization engine purpose-built to compress timelines, reduce risk, and deliver mission-ready systems faster than any conventional approach.

Operational excellence in DoW environments

CloudHedge’s deployment model within DoW environments is purpose-built to preserve operational integrity without sacrificing efficiency. Operating entirely within authorized boundaries, the platform keeps sensitive data securely contained. This design philosophy isn’t incidental; it’s a foundational requirement for DoW applications, where the stakes of data exposure are too high to leave to chance.

The platform’s integration with AWS services reflects this same commitment to security without compromise. CloudHedge deploys directly to Amazon EKS clusters, providing a robust and scalable container orchestration foundation that aligns with DoW’s operational demands. Its optimization for AWS Graviton based EC2 instances further enhances performance and cost efficiency so that mission-critical workloads run at peak capability. Interactions with AWS services are conducted through approved channels, maintaining strict adherence to access control requirements and eliminating unauthorized pathways that could introduce risk.

Perhaps most significantly, CloudHedge extends its support to air-gapped AWS GovCloud (US) environments, a capability that speaks directly to the most sensitive and isolated operational contexts within the DoW. In these environments, where connectivity to the outside world is deliberately severed, CloudHedge continues to deliver its full modernization capabilities so that even the most security-constrained organizations can benefit from cloud-based transformation without compromising the integrity of their data or operations.

DevSecOps integration and automation

CloudHedge fundamentally reimagines how organizations approach migration, transforming cumbersome, manual processes into fully integrated, AI-enhanced DevSecOps pipelines. Rather than treating security as an afterthought, the platform weaves consistent security controls into every stage of the development and deployment lifecycle, ensuring that speed and compliance advance together rather than in tension.

At the heart of this transformation is intelligent orchestration by Amazon Bedrock. Container images are intelligently optimized, with Amazon Bedrock analyzing configurations for security anti-patterns and prioritizing vulnerabilities by exploitability and mission impact. Infrastructure provisioning is fully automated through AI-generated IaC, with Amazon Bedrock embedding cost optimization and security hardening directly into Terraform and AWS CloudFormation templates. Security policies are enforced continually across all environments, with Amazon Bedrock monitoring for policy drift and generating remediation workflows in real time. Deployment workflows and scaling operations adapt dynamically to application behavior, providing consistent performance without manual intervention. This makes rapid deployment and robust governance not competing priorities, but complementary strengths.

Support and maintenance framework

CloudHedge’s support model is tailored for DoW environments, working in partnership with systems integrators (SIs) and global systems integrators (GSIs). To support DoW workloads, CloudHedge’s on-premises deployment model delivers the platform’s entire capability within the agency’s secure environments, such as data centers or an existing AWS account. CloudHedge doesn’t require external connectivity to deliver assessment or modernization capabilities. This helps support and maintenance activities maintain the required security posture while delivering optimal performance.

Future-ready DoW applications

CloudHedge’s capacity to modernize applications while upholding security compliance makes it an asset in DoW’s digital transformation journey. By facilitating the seamless migration of legacy systems to modern cloud architectures, the platform empowers DoW organizations to operate more efficiently, shedding the burden of outdated processes in favor of streamlined, cloud-based workflows. This shift drives down maintenance costs and unlocks significant gains in application performance, helping critical systems run faster and more reliably.

Beyond operational improvements, CloudHedge strengthens the security posture of DoW organizations, which means modernization efforts don’t come at the expense of compliance or data protection. Equally important, the platform equips teams with rapid deployment capabilities, so they can bring new capabilities and updates to production with speed and confidence.

Conclusion

CloudHedge, powered by Amazon Bedrock, represents a significant advancement in DoW application modernization, uniting the rigor of defense-grade security architecture with the transformative power of generative AI. Its combination of automated discovery, AI-enhanced assessment, secure transformation, and compliant deployment makes it an ideal solution for the DoW’s most complex modernization challenges. As the defense sector continues its digital transformation journey, platforms such as CloudHedge will play an increasingly crucial role in making migrations successful, secure, and efficient.

The platform’s alignment with DoW security requirements, coupled with its proven ability to accelerate modernization timelines using Amazon Bedrock, positions it as an indispensable asset for organizations looking to modernize their application portfolios. By providing a secure, automated, AI-powered path to cloud adoption, CloudHedge bridges the gap between legacy systems and modern cloud capabilities to help keep DoW applications cutting-edge and compliant. Most importantly, CloudHedge demonstrates that speed, security, and intelligence aren’t competing priorities but complementary strengths, unified through thoughtful architecture and the strategic application of generative AI.

Ready to accelerate your agency’s cloud modernization journey? CloudHedge’s CHAI™ platform is available today for Department of War programs seeking to reduce migration timelines, eliminate manual assessment overhead, and maintain the highest levels of security compliance.

To learn more about the CHAI™ platform and request a demo, visit CloudHedge. To discuss how CloudHedge and Amazon Bedrock can support your modernization mission, reach out to your AWS solutions architect or contact the AWS Public Sector team. To learn how AWS supports IL4 and IL5 workloads and provides pathways to IL6, visit AWS GovCloud (US).