Roll-up of 3 projects. Projects are the summable leaves — the PE total is their sum, never added to it.
For fiscal year 2027, Defense-Wide agencies are requesting $0.0M for Information & Communications Technology under RDT&E program element 0602303E, against nothing enacted in FY2026.
Funding profile, FY2025–FY2031
Prior years are actuals, the budget year is the request, and the outyears are the FYDP plan. Estimate types are colored and never summed into one figure.
| Fiscal Year | Estimate Type | Amount ($M) |
|---|---|---|
| FY2025 | Actual | 353.0 |
| FY2026 | Enacted | 0.0 |
| FY2027 | Request | 0.0 |
| FY2028 | Outyear | 0.0 |
| FY2029 | Outyear | 0.0 |
| FY2030 | Outyear | 0.0 |
| FY2031 | Outyear | 0.0 |
Acquisition lifecycle
This program is funded in RDT&E Budget Activity 2 — Applied Research.
3 projects roll up into PE 0602303E
Projects are the summable leaves — the PE total is their sum, never added to it. Program elements and projects carry the full five-year plan; activities stop at the budget year.
CYBER SECURITY
ARTIFICIAL INTELLIGENCE AND HUMAN-MACHINE SYMBIOSIS
Mission & acquisition strategy
The efforts described in this Program Element (PE) address the Applied Research associated with the Information and Communications Technology Program that is directed toward the application of advanced, innovative computing systems and communications technologies. This PE also supports innovation and robust transition planning in the technology cycle by working with entrepreneurs to increase the likelihood that DARPA funded technologies take root in the U.S. and provide new capabilities for national defense.
Ask this program element
Answers are generated from the figures on this page — the FY2027 justification exhibits and the marks tracked above — and nothing else is consulted. Confirm any figure against the cited exhibit before you use it externally.
This page carries the budget justification and the NDAA marks — nothing else. For what a contractor has actually been obligated, the ledger is at hitchintel.com/vendors; for live solicitations, hitchintel.com/opportunities. Both are member surfaces.
Cite this page
HIGH PRODUCTIVITY, HIGH-PERFORMANCE RESPONSIVE ARCHITECTURES — one RDT&E project inside PE 0602303E. Congressional marks are recorded on the program element, not on a project.
Project IT-02 — HIGH PRODUCTIVITY, HIGH-PERFORMANCE RESPONSIVE ARCHITECTURES — requests $0.0M in FY2027.
Project IT-02 funding, FY2025–FY2031
Prior years are actuals, the budget year is the request, and the outyears are the FYDP plan. Estimate types are colored and never summed into one figure. Projects carry the full five-year plan; the activities inside them stop at the budget year.
| Fiscal Year | Estimate Type | Amount ($M) |
|---|---|---|
| FY2025 | Actual | 29.0 |
| FY2026 | Enacted | 0.0 |
| FY2027 | Request | 0.0 |
| FY2028 | Outyear | 0.0 |
| FY2029 | Outyear | 0.0 |
| FY2030 | Outyear | 0.0 |
| FY2031 | Outyear | 0.0 |
1 accomplishment / planned program
The R-2A exhibit. Activities carry the prior, current and budget year only — no five-year plan — and they are descriptive: coverage is partial and they do not always add back to the project, so count them, never total them.
FY2025 accomplishments - Began evaluation of a scalable and fabricable design for a fault-tolerant prototype of a utility-scale quantum computer. - Developed key system performance metrics for prototype designs and initial specification targets for all components and subsystems. - Identified and began procuring long-lead hardware items needed to perform prototype research and development. - Evaluated an additional system engineering point design for building a fault-tolerant quantum computer.
What project IT-02 buys
The High Productivity, High-Performance Responsive Architectures project focused on developing the computer hardware and associated software technologies required for future computationally- and data-intensive national security applications. Powerful new approaches were needed to manage the rapid growth in available sensor data, to leverage advances in machine learning, artificial intelligence, and quantum computing, and to maintain the security of DoW information systems. The project therefore aimed not only to create new computing platforms to include quantum technology, but also to efficiently extract information out of large and chaotic data sets with embedded and low-size, weight, and power systems. Advances in these areas may allow for DoW electronic systems to collaboratively manage scarce resources, such as the electromagnetic spectrum, and to adapt to new requirements and situations. Further, the resulting technologies, by being accessible to a wide range of application developers, may support new, sustainable computing systems for a broad spectrum of scientific and engineering applications.
CYBER SECURITY — one RDT&E project inside PE 0602303E. Congressional marks are recorded on the program element, not on a project.
Project IT-03 — CYBER SECURITY — requests $0.0M in FY2027.
Project IT-03 funding, FY2025–FY2031
Prior years are actuals, the budget year is the request, and the outyears are the FYDP plan. Estimate types are colored and never summed into one figure. Projects carry the full five-year plan; the activities inside them stop at the budget year.
| Fiscal Year | Estimate Type | Amount ($M) |
|---|---|---|
| FY2025 | Actual | 159.7 |
| FY2026 | Enacted | 0.0 |
| FY2027 | Request | 0.0 |
| FY2028 | Outyear | 0.0 |
| FY2029 | Outyear | 0.0 |
| FY2030 | Outyear | 0.0 |
| FY2031 | Outyear | 0.0 |
10 accomplishments / planned programs
The R-2A exhibit. Activities carry the prior, current and budget year only — no five-year plan — and they are descriptive: coverage is partial and they do not always add back to the project, so count them, never total them.
FY2025 accomplishments - Integrated and expanded cyber technologies into an automated target discovery and attack surface enumeration framework and demonstrated the target acquisition and continuous monitoring system prototype. - Integrated and expanded cyber technologies that provide enhanced network monitoring and automated threat hunting to improve blue space visibility, identify unknown threats, and initiate hunt and clear activities. - Leveraged technologies that established a multi-tenant compute, storage, and networking environment to support DevSecOps methodologies and tools. - Coordinated with cyber operators from the Commands and Services to prioritize cyber technologies and capabilities, accelerate…
FY2025 accomplishments - Developed techniques for the automated instantiation of multiple cyber agent training environments for evaluating cyber agent decision-making and performance. - Performed an integrated demonstration of multiple agents defending a realistic network environment. - Extended library of APT test cases to include additional post-breach behaviors as observed in the real world. - Demonstrated a priority use case for the simulation environment by training red agents on different attack strategies and then using these red attack agents to improve defensive agents.
FY2025 accomplishments - Integrated a verified kernel into the mission system software of a mission-configurable small Unmanned Autonomous Vehicle without modifying system code. - Created a verification tool extension that relates verification errors to original software artifacts. - Developed technology that increases the speed of Rust-code verification. - Developed technology to model real-world computer code with greater fidelity. - Successfully verified the security module of a high-assurance virtual machine.
FY2025 accomplishments - Implemented machine-processable representations for BL systems and ingested design artifacts and associated documentation. - Using BL representations, demonstrated automated reasoning that identifies and characterizes BL faults, traces faults across component interdependencies, and provides mitigations. - Evaluated the performance of techniques developed for BL representation, analysis, and assurance on representative defense and business workflows and major BL platforms. - Identified faults in two real world business systems.
FY2025 accomplishments - Enhanced technologies to enable a fully integrated cyber planning, provisioning, and risk management system that automatically generates risk-informed cyber infrastructure through real-time, continual attribution assessments. - Integrated cyber planning, generation, and risk management tools with Department of Defense (DoD) cyber warfighting architecture and programs of record. - Conducted live demonstrations during DoD cyber exercises to evaluate cyber planning, generation, and risk management tools in collaboration with transition partners. - Successfully transitioned the technology to DoD activities.
FY2025 accomplishments - Evaluated the effectiveness and accuracy of tools, employing methods such as white-box testing and reverse engineering. - Automated reasoning over models of emergent execution and evaluated their composability at various data granularities for source code and binaries. - Integrated emergent computation discovery with standard build chains and integrated development environments to provide developer feedback. - Assessed the scalability of tools to capture emergent properties and behaviors in complex interactions between multiple layers of abstraction within a subsystem.
FY2025 accomplishments - Developed tools and techniques for automated chain link generation in complex systems. - Characterized and modeled exploits to enable forecasting for piecewise exploit chain composition and repair. - Explored and prioritized demonstrations of exploit chain models and forecasting for systems of interest to transition partners.
FY2025 accomplishments - Developed concepts for weird networks - emergent communications outside the original specification of a network - as a means to enable hidden or obfuscated communications over commodity network infrastructures. - Created domain specific languages and formal analysis tools to verify performance properties of weird networks in the context of a hidden communication system.
FY2025 accomplishments - Formulated approaches for instrumenting bus-based systems to enable collective monitoring and detection of cyber-attacks by bus peers. - Proposed possible techniques for responding to attack and compromise of bus-based systems through collaborative software patch creation and real-time repair by bus peers.
FY2025 accomplishments - Completed development and integration of analysis and synthesis tools. - Demonstrated tool applicability to specific software modernization challenges, such as cryptography modernization and parser hardening. - Transitioned tools to DoW software engineering organizations and commercial industry.
What project IT-03 buys
The Cyber Security project is developing the computing, networking, and cyber security technologies required to protect Department of War, U.S. Government, and U.S. civilian information, information infrastructure, cyber-physical and embedded systems, critical infrastructure, and other computation-intensive mission-critical systems. Information technologies enable important existing and new military capabilities and drive the productivity gains essential to U.S. industry. Meanwhile, cyber threats grow in sophistication and number, and put data, computer programs, key information systems, and U.S. economic competitiveness at risk. The technologies developed in this project will enhance the resilience of information systems to current and emerging cyber threats; enable broad situational awareness of the cyber domain; and provide the basis for accurate, calibrated, and safe cyber response. Beginning in FY 2026, efforts in this Project will be funded in PE 0602025E, Project MSL-04.
ARTIFICIAL INTELLIGENCE AND HUMAN-MACHINE SYMBIOSIS — one RDT&E project inside PE 0602303E. Congressional marks are recorded on the program element, not on a project.
Project IT-04 — ARTIFICIAL INTELLIGENCE AND HUMAN-MACHINE SYMBIOSIS — requests $0.0M in FY2027.
Project IT-04 funding, FY2025–FY2031
Prior years are actuals, the budget year is the request, and the outyears are the FYDP plan. Estimate types are colored and never summed into one figure. Projects carry the full five-year plan; the activities inside them stop at the budget year.
| Fiscal Year | Estimate Type | Amount ($M) |
|---|---|---|
| FY2025 | Actual | 164.2 |
| FY2026 | Enacted | 0.0 |
| FY2027 | Request | 0.0 |
| FY2028 | Outyear | 0.0 |
| FY2029 | Outyear | 0.0 |
| FY2030 | Outyear | 0.0 |
| FY2031 | Outyear | 0.0 |
12 accomplishments / planned programs
The R-2A exhibit. Activities carry the prior, current and budget year only — no five-year plan — and they are descriptive: coverage is partial and they do not always add back to the project, so count them, never total them.
FY2025 accomplishments - Expanded the scope of critical minerals. - Evaluated models and assessed operational relevance to transition partners. - Updated and improved performance of structural price prediction models. - Updated and improved performance of supply and demand forecasting models. - Explored extension of model architecture to additional classes of materials.
FY2025 accomplishments - Developed more advanced cyber competitions involving AI-based vulnerability discovery and remediation in source code, with the competitions focused on software used in critical infrastructure. - Expanded the platform for conducting cyber competitions. - Refined scoring schemes to reflect the effectiveness of automated AI-based vulnerability discovery and remediation systems more accurately when applied to source code. - Conducted a final AI-based vulnerability discovery and remediation cyber competition focused on critical infrastructure software. - Demonstrated significant capabilities of AI-based cyber reasoning systems to provide automated identification and patching of cyber…
FY2025 accomplishments - Developed hybrid AI approaches that iteratively reason over symbolic and neural representations for perception, planning, and control to enable enhanced situational understanding, activity recognition, and safety in maneuvering. - Developed an assurance test harness with adversarial AI and evaluated the new hybrid algorithms and architectures. - Performed an initial demonstration and evaluation of hybrid AI technologies and their composition in use cases of interest to the DoW.
FY2025 accomplishments - Extended system modeling and control techniques to additional platform types. - Collected performance measurements from platform experiments and demonstrated the ability to maintain functionality in the presence of damage or malfunction, without pre-training or prior modeling. - Conducted field experiments involving recovery and control of cyber-physical systems for high-priority use cases in collaboration with transition partners. - Transitioned assurance technologies for autonomous systems to industry and Department of Defense partners.
FY2025 accomplishments - Developed transfer learning techniques for rapidly producing a robust, autonomous system in simulation. - Developed a framework for assessing the robustness to the sim2real gap of autonomy transfer from fast, abstract simulations for a given simulated use case. - Demonstrated an initial capability to transfer autonomy for scenarios of interest to potential transition partners involving indoor navigation using quadrupeds.
FY2025 accomplishments - Developed graph theoretical models for money laundering TTPs and adapted the models to reference heterogeneous FININT and transaction data. - Developed approaches for using models of known money laundering TTPs to anticipate novel money laundering TTPs and developed and applied graph search and subgraph isomorphism techniques to extract the TTPs. - Formulated initial demonstrations and evaluations in collaboration with AML stakeholders from across USG and the private sector.
FY2025 accomplishments - Developed and refined mathematical methodologies for genAI assessment. - Applied algorithmic techniques for assessing genAI for specific problem classes.
FY2025 accomplishments - Developed real-time models of adversarial belief using new developments in algorithmic modeling that better represent human reasoning. - Developed kinetic and non-kinetic testing and evaluation scenarios and environment in relevant theaters.
FY2025 accomplishments - Initiated development of a concept of operations for AI vulnerability discovery.
FY2025 accomplishments - Developed methods to decompose scientific, technological, and capability claims into constituent, verifiable components and for automatically assessing component feasibility.
FY2025 accomplishments - Established a forum where USG, Industry, and research organizations collaboratively define and evaluate geoeconomic mechanisms.
FY2025 accomplishments - Conducted initial real-time tests of machine learning/AI algorithm architectures for analyzing preconscious information evoked by behavioral health related stimuli, as paired with data acquisition systems that synchronized physiological monitoring. - Developed and demonstrated AI technologies, advanced the state of the art in AI engineering, and created human-machine teaming approaches that support trustworthy AI for mission- and safety-critical domains.
What project IT-04 buys
The Artificial Intelligence and Human-Machine Symbiosis project develops technologies to enable machines to function not only as tools that facilitate human action but also as trustworthy partners to human operators. Of particular interest are systems that can understand human language, extract information, and reliably categorize content contained in diverse media; answer questions, reach conclusions, and propose explanations; and learn, reason, and apply knowledge gained through experience to respond intelligently to new and unforeseen events. Enabling computing systems with such human-like intelligence matters because the tempo of military operations in emerging domains can exceed that at which unaided humans can orient, understand, and act. The technologies developed in this project will enable warfighters to make better decisions in complex, time-critical, battlefield environments with greater efficiency and confidence; and help autonomous systems and intelligent computational agents to safely and reliably perform critical missions in contested and adversarial physical and virtual environments. Beginning in FY 2026, efforts in this Project will be funded in PE 0602025E, Project MSL-05.