Defense Info Infrastructure Engineering and Integration

The Defense Information Infrastructure Engineering and Integration program, managed by the Defense Information Systems Agency (DISA), is a key line item in the Department of Defense (DoD) budget under PE 0302019K. Its primary objective is to provide research, development, test, and evaluation (RDT&E) support for the modernization, integration, and operational effectiveness of DoD information networks and enterprise architectures. The program is divided into two major projects: Modeling and Simulation and Enterprise Architecture (E65) and DoD Information Network (DODIN) Systems Engineering and Support (T62), each with distinct but complementary goals.

Modeling and Simulation and Enterprise Architecture (E65) focuses on developing and maintaining advanced modeling and simulation tools to support DISA and its customers, including Combatant Commands, Services, and DoD Agencies. The goal is to enable comprehensive systems engineering and end-to-end (E2E) analytical functions that ensure integrated network capabilities meet warfighter mission requirements. Specific objectives include updating modeling suites to evaluate combined Internet Protocol (IP) and optical infrastructure, supporting software-defined wide area network interconnectivity, and integrating next-generation networking technologies such as zero-trust architectures and encrypted networks.

The program also provides training and support for the Joint Communications Simulation System and validates network performance monitoring tools, particularly for IPv6 and cloud migration scenarios. Within E65, the End-to-End Architecture activity establishes and maintains enterprise architecture development standards and artifacts to ensure E2E interoperability and performance analysis across DISA. Key goals include creating frameworks and taxonomies for DoD Architecture Framework (DoDAF)-based development, supporting high-priority projects like the DISA Zero Trust Reference Design (ZTRD), Privileged Access Management (PAM), 5G architecture documentation, and Robotics Process Automation (RPA).

The program also aims to develop automated tools for architecture assessment, cybersecurity analysis, and data-driven decision-making, including the construction of a DISA Enterprise Knowledge Graph (EKG) and the development of agency-wide standards for data management and API platform architectures.

DoD Information Network (DODIN) Systems Engineering and Support (T62) is dedicated to identifying and addressing technology gaps and capability shortfalls in critical areas such as machine learning/artificial intelligence (AI), mobility, assured identity, rapid transition, and cyber defense. The project aligns DISA's technical strategies with DoD IT Efficiency Strategy and Chief Information Office (CIO) Capabilities Planning Guidance. It leverages emerging technologies to drive efficiencies and cost savings for the DoD, warfighters, and federal partners.

A major focus is on quantum-resistant cryptography (QRC), which involves prototyping, testing, and deploying new encryption standards to secure data-in-transit and at rest against future quantum computing threats. In addition to QRC, T62 supports operationalizing AI for Defensive Cyber Operations (DCO), enabling the deployment and scaling of AI-based cyber defense capabilities to improve threat detection and response across DoDIN. The program conducts technology assessments, process improvements, and integration of commercial cloud services, ensuring consistency with DoDIN architecture and standards.

Collaboration with industry, academia, and federal partners is facilitated through technical exchange sessions, pilot initiatives, and limited production deployments to validate operational and financial benefits. Both projects utilize a mix of government, contractor, and Federally Funded Research and Development Center (FFRDC) resources, employing firm fixed price and cost-plus contracts with options to ensure flexibility and cost control. The acquisition strategy emphasizes open competition, inclusion of small businesses, and leveraging specialized expertise from organizations such as MITRE and MIT Lincoln Lab. The program's funding supports ongoing product development, engineering services, technology assessments, and operational support activities.