Defense Advanced Research Projects AgencyOur Research

Our Research

DARPA’s investment strategy begins with a portfolio approach. Reaching for outsized impact means taking on risk, and high risk in pursuit of high payoff is a hallmark of DARPA’s programs. We pursue our objectives through hundreds of programs. By design, programs are finite in duration while creating lasting revolutionary change. They address a wide range of technology opportunities and national security challenges. This assures that while individual efforts might fail—a natural consequence of taking on risk—the total portfolio delivers. More

For reference, past DARPA research programs can be viewed in the Past Programs Archive.

The Cross-Domain Maritime Surveillance and Targeting (CDMaST) program seeks to identify and implement architectures consisting of novel combinations of manned and unmanned systems to deny ocean environments to adversaries as a means of projecting power. By exploiting promising new developments in unmanned systems along with emerging long-range weapon systems, the program aims to develop an advanced, integrated undersea and above-sea warfighting capability able to execute long-range attacks against submarines and ships over large contested maritime areas. More
Embedded computing systems are ubiquitous in critical infrastructure, vehicles, smart devices, and military systems. Conventional wisdom once held that cyberattacks against embedded systems were not a concern since they seldom had traditional networking connections on which an attack could occur. However, attackers have learned to bridge air gaps that surround the most sensitive embedded systems, and network connectivity is now being extended to even the most remote of embedded systems. More
| Cyber | Formal | Trust |
The rapid pace of innovation in software and hardware over the past three decades has produced computational systems that, despite security improvements, remain stubbornly vulnerable to attack. Although clean-sheet design can produce fundamental security improvements that gradually diffuse into the installed base, this process can take years. More
DARPA’s Cyber Grand Challenge is a first-of-its-kind tournament designed to speed the development of automated security systems able to defend against cyberattacks as fast as they are launched. More
Networks within the United States and abroad face increasingly broad-spectrum cyber threats from numerous actors and novel attack vectors. Malicious activity also crosscuts organizational boundaries, as nefarious actors use networks with less protection to pivot into networks containing key assets. Detection of these threats requires adjustments to network and host sensors at machine speed. Additionally, the data required to detect these threats may be distributed across devices and networks. In all of these cases, the threat actors are using technology to perpetrate their attacks and hide their activities and movement, both physical and virtual, inside DoD, commercial, and Internet Access Provider (IAP) networks. More
The DARPA Space Environment Exploitation (SEE) program seeks to develop new models and sensing modalities to predict and observe the dynamics of the near-earth space environment. The SEE program explores how to go beyond magnetohydrodynamic descriptions of the magnetosphere, ionosphere, thermosphere coupled system to include wave/wave, wave/particle, and particle/particle interactions while using the latest advances in high performance computing such as GPUs and TPUs. More
The DARPA Subterranean (SubT) Challenge aims to develop innovative technologies that would augment operations underground. The SubT Challenge will explore new approaches to rapidly map, navigate, search, and exploit complex underground environments, including human-made tunnel systems, urban underground, and natural cave networks. More
Understanding the complex and increasingly data-intensive world around us relies on the construction of robust empirical models, i.e., representations of real, complex systems that enable decision makers to predict behaviors and answer “what-if” questions. Today, construction of complex empirical models is largely a manual process requiring a team of subject matter experts and data scientists. More