Traditionally, that meant collecting and sending data back to command facilities in Hawaii or the continental U.S. for analysis and response. But in fast-changing operational environments, that approach is quickly becoming outmoded and unreliable.

This scenario highlights both the challenge commanders face and the strategic shift underway across the military. The decisive advantage no longer rests solely on the movement of troops and materiel—but on the ability to move and process information faster, more securely, and with greater operational relevance than adversaries.

Achieving that kind of information advantage means being able to deliver real-time insights to warfighters in the field—especially in environments where communications are disconnected, disrupted, intermittent, or limited (DDIL). This isn’t just a technical upgrade; it’s a strategic imperative.

Underlying this shift is the growing expectation that actionable intelligence will reach those on the front lines faster than it reaches our adversaries. That expectation is driven in no small part by the commercial experience most consumers have become accustomed to – e.g., the ability to track deliveries en route and notifications when they arrive.  

Conflict planning and logistics in contested DDIL environments are obviously more complicated, which is all the more reason why the advantage lies with those who have an information advantage. That requires assessing, processing, and disseminating vast amounts of data quickly at the edge.

Gaining the data edge

“In many regards, data is the five-five-six round of the next war,” said John Sahlin, vice president for defense cyber solutions at General Dynamics Information Technology (GDIT), referring to the standardized rifle cartridge used by NATO forces. “It has become the lynchpin to enhance the decision-making process for advantage.”

That advantage depends on more than just collecting data. It requires turning it into usable intelligence faster than adversaries can react.

“The core problem is latency,” explained Matt Ashton, partner customer engineer at Google Public Sector. “Until recently, the immense volume of data from sensors, drones, and logistical trackers required the processing power and AI available primarily in distant cloud computing centers.”

“Our DOD customers struggle with the current status quo at the edge because they can’t run true AI,” said Ashton. “So data has to get sent back to the mother ship to crunch the data and get a resolution. The massive differentiator now is our ability to provide AI at the edge.”

According to both industry experts, the solution lies in a combination of powerful, ruggedized edge computing platforms and AI models specifically engineered for defense use that can operate independently, even when completely disconnected from high-capacity networks.

Google, for example, provides this capability through its Google Distributed Cloud (GDC), a platform designed to bring data center capabilities to the field.

“GDC was built to run so it never has to ‘call home.’ It can sit on the Moon or a ship. It doesn’t have to get updates,” Ashton said. “It’s a family of solutions that includes a global network, but also features an air-gapped GDC box that connects to the Wide Area Network and other on-prem servers not on the internet.”

This allows commanders on submarines, at remote bases, or in forward-deployed positions to run AI and analytics locally and process vast sensor data streams in-theater without waiting on external links.

Why mission-specific AI models matter

However, raw computing power is only part of the equation. Commercial AI models often lack a nuanced understanding of military operations. This is where operationally relevant AI models developed by GDIT that translate raw data into relevant, actionable intelligence are crucial.

Sahlin compared the role of mission-specific AI models to a speedometer in a car. “What it measures is the revolutions per minute of the axle. What it reports is how fast you’re going in miles per hour,” he explained. “That’s the kind of insight that only comes from real-world familiarity with military operations.”

“A clear grasp of operational objectives is key to developing models that are tuned to real-world demands of each mission,” said Sahlin. “So that may mean multiple mini-models to translate data into relevant insights.”

Sahlin also explained why applications built on an open data architecture model are crucial to adaptability at the edge.

“The real value of an open data architecture, particularly in the defense industry, is that it’s a very decentralized platform. Logistics is a classic example of commercial, local, last-mile delivery providers working with many sources. In the military, you won’t have a single source or model. This is where open architecture is critical.”

Security remains foundational to all of this. Sahlin noted that while the military can benefit from commercial innovation, it still needs to ensure higher levels of security than commercial operators. So it’s also essential that the military’s AI development partners have a deep understanding of the Defense Department’s zero trust security practices and requirements, which apply to the broader base of defense suppliers in the DOD’s supply chain.

“GDIT’s value lies in its longstanding experience supporting defense missions,” Sahlin said. “We work with clients to gather the right data, build tailored models, and deliver intelligence to the edge, even in DDIL conditions where units may be disconnected or intentionally silent.”

Looking ahead

By combining a platform like GDC with mission-specific AI models from GDIT, military logistics teams can move from reactive support to proactive planning, anticipating needs, reallocating resources, and outmaneuvering adversaries.

As operational demands grow more complex and communications become more contested, defense leaders say gaining an information advantage at the edge isn’t just important, it’s essential for mission success.

Learn more about how GDIT and Google Distributed Cloud can help your organization deliver at the edge more proactively.

This article was sponsored by GDIT and Google Cloud.

The post The new frontline: Winning the information war at the tactical edge appeared first on DefenseScoop.

The report, “Navigating the Intelligence Community IT Roadmap,” analyzes key challenges facing the IC and outlines how existing and tested technology capabilities can help IC components gain a strategic advantage over adversaries.

The report’s timely release aligns with the IC’s five-year IT roadmap, which seeks to advance intelligence operations by promoting seamless collaboration, enhanced data sharing and management and the ability to deploy the newest tech innovations rapidly.

The report highlights a variety of currently available technical capabilities developed by GDIT as part of its long-standing work to support the U.S. defense and intelligence agencies, including:

• DeepSky — a private, multi-cloud, on-prem data center environment developed and maintained by GDIT that facilitates the testing of emerging technology and security capabilities from multiple providers in collaboration with government agencies and their partners. “It’s really difficult to ingest massive amounts of data from a bunch of tools and make it usable for an engineer, an analyst or an executive. So DeepSky helps make those tools work together,” says Ryan Deslauriers, director of cybersecurity at GDIT.

• Mission Partner Environments — a new generation of interoperable networking and data exchange environments. Originally designed to allow military units to exchange data with specific partners, these expanded information-sharing environments enable the selective yet secure sharing of sensitive and classified information with trusted military and coalition partners. MPEs make it possible to take a “full report, break out what can and can’t be released, and push it to the appropriate network virtually and automatically so that information gets to relevant users where they are in a timely fashion,” explains Jennifer Krischer, a former U.S. Air Force intelligence officer who now serves as vice president for defense intelligence at GDIT.

• Raven — a mobile command center tech suite developed by GDIT that fits in the back of a truck. It extends and deploys the data mesh concept to mobile environments. It can be utilized for disaster relief, special forces operations, or disconnected environments, enabling operators to collect and disseminate data from the tactical edge directly to users on the ground and back to the enterprise. Raven is an example of how GDIT “enables teams to conduct their mission without having to develop, build, maintain, and operate the services internally,” notes Nicholas Townsend, senior director at GDIT.

• Federated Data Fabric — creates a unified data environment through a centralized service platform designed to streamline data curation, management, and dissemination and enable seamless access to data independent of its source or security level. It allows users on the network’s edge to discover, request, publish and subscribe to information within a federated network environment.

Workforce commitment

The report also highlights GDIT’s distinctive approach to hiring and training professionals with extensive defense, IC, and technical experience who uniquely understand the needs of the government’s mission.

“Our workforce two to five years from now will need to be different from what it is today and prepared to take advantage of new technology,” notes Chaz Mason, mission engineering and delivery lead at GDIT. Recognizing this, GDIT doubled its investment in tuition and technical training programs in 2023. More than 20,000 employees have taken at least one of our cyber, AI, and cloud upskilling programs, he said.

GDIT’s staff currently numbers 30,000 professionals supporting customers in over 400 locations across 30 countries; 25%+ of the workforce are veterans.

Read more about how GDIT’s vendor-agnostic technology and decades of government customer experience can help achieve the Intelligence Community’s data-sharing vision.

This article was produced by Scoop News Group for FedScoop and DefenseScoop and sponsored by GDIT.

The post Report highlights how secure data-sharing platforms can support the Intelligence Community’s IT roadmap appeared first on DefenseScoop.

During a presentation at DefenseTalks in May 2024, Wes Anderson, vice president, defense operating unit, at Microsoft Federal, not only highlighted AI’s far-reaching impact across sectors but also its implications for the Department of Defense (DOD).

“We all know this is a time of great power competition, one with unprecedented near-peer competitors that have the will, economic means and an industrial base to enable their ambitions,” said Anderson. “One of the questions I often get is, how can you help the DOD bring innovation to their mission, and how can you help us accelerate pace? An area where we’re seeing that potential is with AI.”

AI in action

A pivotal moment in AI’s advancement was the emergence of ChatGPT, which demonstrated AI’s capability to achieve mass adoption rapidly. While technologies like mobile phones took 16 years to reach 100 million users and the Internet took 7 years, ChatGPT achieved this milestone in just 60 days in January 2023. “This swift adoption highlights a significant leap from traditional AI to generative AI, powered by advanced foundational models trained on vast datasets using cloud-based supercomputers,” he said.

Anderson cited a collaboration between Microsoft’s Azure Quantum team and Pacific Northwest National Labs to reduce dependency on lithium by developing new battery materials. Traditionally, this process would take years, but with AI and cloud-based supercomputers, the team reduced 30 million candidate elements to one viable electrolyte in just two weeks. “This breakthrough illustrates AI’s potential to revolutionize research and development timelines across various fields, including the defense sector,” said Anderson. “Ultimately, these models can help us make informed decisions across massive amounts of disparate data and will benefit how the Defense Department does business and executes its mission.”

AI’s impact also extends to enhancing workforce efficiency. Anderson cited Microsoft and LinkedIn’s 2024 Work Trend Index Annual Report, which revealed that two-thirds of employees feel they lack the time or energy to complete their work, hindering innovation and strategic thinking. AI can alleviate this burden by automating routine tasks and enabling workers to focus on more critical, value-added activities. In the defense sector, Anderson said AI can help the U.S. address the shortage of people and skills to help defend the nation by enabling better decision-making and upskilling. 

Secure and ethical AI implementation

However, Anderson also acknowledged that the DOD faces unique challenges in adopting AI, particularly concerning data security. To address this, he discussed the deployment of GPT-4 within secure environments, ensuring that sensitive information remains protected while leveraging AI’s capabilities. “This approach exemplifies how AI can be integrated into critical operations without compromising security, thereby driving innovation and efficiency within the defense sector,” said Anderson.

In addition, ethical considerations are paramount when it comes to AI deployment within the DOD. Anderson stressed the need for responsible and ethical AI practices that align with the DOD’s guidance. “Implementing guardrails ensures AI is used in ways that are safe, fair, and beneficial to all stakeholders,” he said.

Adapting to an AI-driven future

Anderson also underscored the importance of cultural and organizational change alongside technological adoption. AI’s full potential can only be realized if the workforce adapts to new ways of working. “It’s not just about the technology. The technology can enable you to move really quickly, but it’s only going to be as quick as your workforce can move,” said Anderson. “So, you have to change the culture. You have to change how people work by bringing them along from the start and letting them get comfortable with AI.”

While AI holds transformative potential across industries and within the DOD, realizing its full benefits requires a balanced approach that integrates technology with cultural and ethical considerations and prioritizes both technological advancement and workforce adaptation.

Learn more about how Microsoft can help government organizations transform in the era of AI, sign up for news and updates at https://aka.ms/AIforGovUpdates.

This article was produced by Scoop News Group and sponsored by Microsoft.

The post How the DOD can harness AI for innovation and efficiency appeared first on DefenseScoop.

Central to those efforts is the renewed vision for creating interoperable “Mission Partner Environments” (MPEs), asserts a new Scoop News Group report sponsored by GDIT. MPEs will allow the military and its trusted partners to communicate and share sensitive information securely and in real-time with allied partners.

MPEs represent a logical extension of the DOD’s Combined Joint All-Domain Command and Control (CJADC2) strategy to federate, jointly access and act upon relevant situational data. However, according to the report, that strategy is also fueling a new commitment to integrate mission and coalition partners into evolving technical standards, capabilities and policies — and toward a global IT environment rather than a U.S.-centric one.

The conflicts and humanitarian crises in Ukraine, the Middle East and elsewhere across the globe have added new urgency to the need for near real-time information exchange across multiple domains. They have also heightened how modern warfare has taken on new dimensions in contrast to previous conflicts, according to the report, including:

• Hybrid Warfare Challenges — Conventional military tactics are being fused with cyber and information warfare. This blending of domains necessitates seamless data sharing to effectively counter and respond to such multifaceted threats.
• Information Warfare and Disinformation — Adversaries in the Ukraine conflict extensively employed disinformation campaigns to shape perceptions and destabilize regions. Interoperable systems enable partner nations to collectively analyze and counter such narratives, ensuring a more comprehensive and coordinated response.
• Dynamic Battlefield Tactics — The conflict has underscored the rapid evolution of the battlefield, where situational awareness is paramount. Interoperability enables partners to share real-time intelligence, adjust strategies and respond swiftly.
• Civil-Military Coordination — The Ukraine conflict has also highlighted the importance of integrating civilian and military efforts in a comprehensive approach. Interoperable systems facilitate coordination among various agencies, ensuring a more cohesive and effective response.

While the concept of MPEs is hardly new, what’s changing is the need to collapse and improve the speed and effectiveness of an expanding array of networks to share information securely with coalition partners, says Eric Tapp, a 21-year veteran of the U.S. Army, and now MPE lead at GDIT.

“MPEs are moving from this massive point-to-point connection on a standalone network to the point where eventually all warfighters working in NATO or working in a coalition environment will be able to communicate effectively and share data,” he explains in the report. What’s missing, he contends, “is the operational art and the art of deployment.” 

Tapp, who led MPE development at USCENTCOM before retiring from the Army, highlights “the path to modern MPEs” in the report, the critical need for data-centricity and why MPEs must be transport agnostic if they are to fulfill the vision for real-time data sharing with coalition partners.

Read the full report on developing modern ‘Mission Partner Environments” and how GDIT is helping enhance interoperability with global partners.

This article was produced by Scoop News Group for DefenseScoop and FedScoop and sponsored by GDIT.

The post MPEs gain momentum for sharing information with allied partners appeared first on DefenseScoop.

In the series, “Accelerating the Mission with AI and Security,” produced by Scoop News Group for DefenseScoop, and underwritten by Google for Government, leaders overarchingly agreed that AI, and the new subset generative AI, will define technology modernization trends across their agency.

Improving security resilience with AI

AI will be an invaluable tool for organizations to automate security data analysis and the response and remediation of threats, leaders say.

DISA technical director Andrew Malloy shares how the Cyber Development Directorate is exploring AI’s use as a “force multiplier when it comes to being able to auto-correct, auto-block certain things, to look at different malware variants and know what to do and what not to do.”

He surmises that AI tools on the commercial side could be leveraged to train models on government data for tasks such as training users and improving knowledge management within organizations.

Several leaders in the series cited specific projects across defense agencies that are currently being spun up to better understand AI implementation using appropriate frameworks. Gary Buchanan, CISO at the National Geospatial-Intelligence Agency, highlights as an example Project Maven, a DOD-based AI intelligence system that helps NGA understand how AI can work within their infrastructure.

“From a defensive standpoint, we’ve been partnering with Gartner to understand how we can structure AI within our system so that it’s not, it doesn’t run rampant across places where it shouldn’t make sure it has access to the data that it should, and not the data that it shouldn’t,” he explained.

AI for data analysis and prediction models

The pace of innovation of AI models and the computing tools required to make use of this technology is within reach of a lot of organizations. However, having a sound understanding of the infrastructure needs, data hygiene practices, and use cases are essential to ensuring a sound investment strategy.

“When people think of AI, a lot of people think of it as a ‘magic wand,’ that if you ‘buy’ AI, then magically all of your problems will be solved,” quipped Jinyoung Englund, acting DCDAO for digital services at the DOD. “But the reality is, if you want to use AI, you first have to have infrastructure, you have to have quality data, you have to have cloud capabilities, you have to have accelerated compute.”

She explains that her office invests in building the infrastructure to enable other defense organizations to then deploy AI capabilities, such as by establishing an AI marketplace. For example, DOD has established ai.com as the place for industry players to register the AI tools and services they want to provide to their DOD customers.

“In the future, I’m hard-pressed to think of a program that isn’t going to employ AI in some ways,” added Winston Beauchamp, deputy CIO for the Air Force. “Certainly, for our flying platforms, assisting a pilot to make sense of the barrage of information that they face is a job well suited for AI. Same thing for space operations, as well as the business side of the house, logistics maintenance planning — every function has some role that can be better accomplished by use of AI as an assist to the folks who perform those missions.”

Duncan McCaskill, acting chief data and chief analytics officer at the Department of Navy touched on the power of generative AI to improve how personnel access information, stressing the importance of ensuring data is clean and made available to more modern cloud systems.

“So instead of someone aboard a ship, having to page through all kinds of paper manuals, we could get to the point where there’s a digital assistant [able to access] every technical manual for that particular vessel,” he said.

AI to accelerate workforce collaboration

Defense leaders also share how AI-assisted tools and platforms can streamline communication and workloads across the defense community at large to reduce productivity bottlenecks.

Among them is Jude Sunderbruch, the executive director of the DOD’s Cyber Crime Center, which provides cybersecurity training and services that support the defense industrial base.

He shares that their unit’s biggest challenge is making sure it is working in partnership with all stakeholders and building connections that can operate at scale and quickly. Improving data tagging and data governance across the organizations allows it to appropriately share information, validate origination, secure information, and ensure lawful compliance with all the applicable rules.

“Hopefully over time, applying more artificial intelligence and machine learning tools is really where we’re headed,” said Sunderbruch.

Among the many IT investments organizations are making, leaders point to the value of continuous learning and education of their workforce to keep up with these changes.

Eileen Vidrine, chief data and artificial intelligence officer for the Air Force made that clear, saying, “I would say our biggest challenge is always going to be talent. We want the absolute best in our workforce, total force, military, civilian active guard reserve. And we have that in common with our industry colleagues because the competition for the best talent is fierce right now. So we have to have really invest in multiple ways to bring in great capability.”

She stressed the value of offering education opportunities like data science or offering internships and other pathways for recent college graduates but also noted the importance of upskilling the Air Force’s existing workforce and continuing to invest in skills acquisition geared towards career growth.

Other participants who shared their insights in this series included:

• Maynard Holliday, PTDO Assistant Secretary of Defense, Critical Technologies, DOD
• Justin Fanelli, Acting CTO, Department of Navy
• Peter Guo, CIO, Ships Repair Facility, Department of Navy
• Dan Berrigan, Ph.D., Lead, Worldwide Research Collaboration, Digital Capabilities Directorate, Air Force Research Laboratory
• Sean Baker, Chief Technology and Senior Information Security Officer, Uniformed Services University

This video series was produced by Scoop News Group, for DefenseScoop, and sponsored in part by Google for Government.

The post Defense leaders on accelerating mission with AI and security appeared first on DefenseScoop.

The post Palo Alto’s John Davis underscores the role of AI in cybersecurity and enhanced public service appeared first on DefenseScoop.

Joseph Larson, III, deputy chief digital and AI officer for the DOD Chief Digital and Artificial Intelligence Office, delivered his pitch to government and industry leaders for their participation in addressing these challenges alongside the DOD during Google Cloud NEXT session Supercharging the public sector with AI.

Generative AI is a “technology that leaked from the laboratory, and the department needs to move fast to be prepared for a future where it is a part of the way we do work today,” he stressed.

The rapid adoption of generative AI is a major disruptor of the DOD’s long-established practice of research, validation, testing and deployment when adopting new technology.

Larson explained that the task force was born out of a “concern about both the enormous risks of the technology being misapplied, misused and misunderstood in terms of our workflows, but at the same time the potential, but unrealized and unproved, benefits to a massive enterprise that has the need to leverage AI to solve a number of its problems.”

Task Force Lima is only a few weeks old, but the team seeks involvement from industry to help the DOD understand the rapidly evolving technology.

Larson cited a number of goals the task force is focused on, such as how to measure the performance of models, better understand the metrics and frameworks towards responsible AI, define the strategy and guidance around these frameworks, build out the infrastructure needed to manage data and to identify use cases where the technology would be most valuable.

“This problem of generative AI is taking up a lot of our bandwidth right now, and it’s an area of enormous challenge where we’re going to need the integrated insights of the technology community to advise and assist the department not just in terms of your products, but in terms of the ramifications at a broad level of how this technology manifests in our department,” he said.

“Supercharging the public sector with AI is an objective that can accelerate the public sectors’ missions overall and fulfill the promise of bridging the gap between what constituencies are worried about and how public servants can respond,” shared Katharyn White, director of marketing for public sector at Google.

Watch the full panel discussion, “Supercharging the Public Sector with AI,” and hear more from our government leaders on their AI and security initiatives.

The post Task Force Lima spurs movement in the DOD to understand generative AI appeared first on DefenseScoop.

Mike Barretta is the senior manager of solution architecture for the US public sector at Elastic. He brings over two decades of industry experience in software development, data science, system administration and technical consulting.

Open software has long been recognized by federal civilian, defense and intelligence agencies for providing lower starting costs, faster development processes and community-driven support compared to proprietary software. But agencies often fail to capitalize on the full potential of open software.

One way they can realize greater value, save time and money, and deliver mission objectives faster is by asking a couple of critical questions: Is there a company affiliated with this software? And do they provide features or support that would help our efforts and reduce risk?

By answering these critical questions, mission leaders can make more informed decisions, improve operational capabilities, and ultimately reduce wasted spending.

A common scenario at many agencies occurs when users or developers download and adopt a free tool without taking the time to understand its origin or the additional features available with a license. As a result, agencies typically end up using as little as ten percent of the software’s full potential.

Build vs. Buy

Another key consideration relates to the “build versus buy” dilemma. Open products provide developers tremendous flexibility but usually require additional customization. This is a good thing: open software products are meant to be adapted to fit users’ specific needs, and that is one reason they are so important. All too often, however, developers opt to re-build existing features and solutions instead of considering licensed solutions already available in the product. These customizations can be brittle, poorly supported, and tightly coupled to a specific version of the product as compared to the features built by product engineers. The unfortunate outcome is a system unable to take advantage of the new features, optimizations, and security patches present in newer versions without substantial redevelopment costs. For instance, Elastic consistently rolls out new features and functions every six to eight weeks, ensuring the software remains cutting-edge and an effective fit for evolving missions. This is a challenging pace to match.

The advantages of partnering with open software companies

Working directly with open software companies like Elastic and engaging with their community offers several advantages. Agencies can tap into the expertise of those responsible for the software’s development, ensuring timely updates and influence on new features. Moreover, direct engagement streamlines the integration process, allowing mission leaders to maximize the benefits of open software while minimizing associated costs and time constraints. Additionally, as regular updates can be swiftly implemented, so is the process of safeguarding systems against emerging threats.

Commercially supported open software significantly reduces supply chain risks. Modern and secure development practices, audited release artifacts, and legal liability help open software companies to ensure the products they release are as free from vulnerabilities as any closed software product. Further, since the source code is available to the world, commercially supported open software is often more secure than closed since there are a great number of eyes looking for and reporting vulnerabilities. At Elastic, we have a bug bounty program through HackerOne that pays researchers, hackers, and others to find what we might miss. This proactive approach not only encourages the identification of security flaws but also shows a commitment to continuous security improvement.

The benefits of open software are increasingly evident as public sector and mission leaders face challenges in managing the volume of data they collect. According to new research, 45% of public sector organizations need help managing data volume. In addition, 31% of public sector leaders say they’re not utilizing data optimally across departments because data sits in siloed databases, or teams lack a single source of data truth for collaboration, analytics and data sharing.

Elastic is a prominent example of an open software company making a significant impact in the intelligence community. IC agencies can enhance mission delivery and citizen services by using Elastic to search massive amounts of data and derive insights. Through its innovative solutions, IC agencies can enhance mission delivery and improve citizen services by harnessing Elastic’s capabilities to search and extract insights.

Empowering the intelligence community with an open ecosystem of technologies

We believe that building a robust community requires collaboration, resource sharing, and sharing expertise. This collaboration leads to more effective use of software and tools. We also promote an open ecosystem, encouraging users to freely adopt and integrate their tools. As a company, we are agnostic about how their tools are used and support users’ freedom to experiment with different approaches.

Openness also extends to sharing. We encourage open standards as they enable sharing, reuse, and the easy adoption of best practices by others. We are active contributors to other open software projects, recently donating our data schema, ECS, to OpenTelemetry, a member of the Cloud Native Computing Foundation (CNCF) with a widely used set of open standards and tools for Observability.  Furthermore, these efforts benefit customers by fostering a collaborative environment and ensuring seamless integration into existing systems.

Decision-making is also a collaborative, data-driven activity as described in the IC data strategy. The new strategy presents four areas that agencies can act on over the next few years, including data interoperability: a core feature of open software like Elastic. As highlighted in a recent blog post, Elastic gives agencies the freedom to share code and architecture with other projects and systems when needed. Unlike the walled gardens of some closed systems, data is stored in non-proprietary formats, meaning both data and analytic methods are transferable within an enterprise architecture or to cross-agency initiatives. 

Elastic is a firm believer in the power of open software to power and grow our national security advantage.

 Learn more about how Elastic can help enhance mission delivery with open source.

The post Capitalizing on the potential of open software appeared first on DefenseScoop.