The Defense Information Systems Agency has released a new strategy that establishes the foundation for improving DISA’s cybersecurity, optimizing its network and leveraging artificial intelligence, machine learning and other emerging technologies to support warfighters.
In a LinkedIn post published Tuesday, DISA said its Fiscal Years 2025-2027 Data Strategy has three lines of effort: strengthen data architecture and governance, integrate advanced analytics and cultivate a data-centric culture.
“This strategy represents a pivotal moment in DISA’s data evolution,” said Caroline Kuharske, chief data officer at DISA. “By emphasizing strong governance, advanced analytics and a culture of data-driven decision-making, we are not only strengthening our operational capabilities but also positioning the agency to lead in innovation and efficiency.”
Table of Contents
Strengthening Data Architecture & Governance
Under this line of effort, DISA will treat and secure data as a strategic asset, streamline data infrastructure and promote data sharing and boost data maturity using robust governance and management.
Treating data as a strategic asset calls for the agency to implement data tagging and metadata management, adopt data classification standards, develop an application programming interface registry and enforce security using zero trust architecture.
Integrating Cutting-Edge Analytical Tools
To advance this line of effort, DISA will accelerate AI and machine learning adoption across services, facilitate data-driven decision-making and advance interoperability frameworks and data standards.
By adopting advanced analytical tools, the agency seeks to convert raw data into actionable insights to create a competitive advantage and drive growth.
Promoting a Data-Centric Culture
To cultivate a data-centric culture, DISA will improve data literacy through professional development opportunities, advance the use of knowledge management and embed data stewardship responsibilities and roles into the workforce.
“A data-centric workforce is the backbone of innovation,” said Kuharske. “Transforming raw information into insights that drive smarter decisions is a core value of our mission. These efforts will ensure that DISA remains agile, secure and mission-focused in an increasingly data-driven world.”
Related Articles
The General Services Administration has launched USAi, a secure generative artificial intelligence suite designed to help federal agencies experiment with AI tools and accelerate AI adoption. GSA said Thursday the launch of USAi advances the priorities in the White House’s America’s AI Action Plan, which seeks to strengthen U.S. leadership in AI through coordinated federal action, streamlined adoption and smarter infrastructure. A panel discussion at the Potomac Officers Club’s 2025 Navy Summit on Aug. 26 will explore generative AI and how it optimizes decision-making within the service branch. Book your spot now at this GovCon networking event! Expanding Federal Government’s
Nextgov/FCW reported that the Federal Acquisition Regulatory Council on Thursday released new model deviation text for six parts of the FAR as part of the Revolutionary FAR Overhaul, or RFO, initiative. In April, President Donald Trump signed an executive order directing his administration to amend FAR to streamline the federal procurement process and eliminate barriers to doing business with the government. In June, the FAR Council released model deviation text for sections related to emergency acquisitions, contract modifications and acquisition of information and communication technology, or ICT. The overhauled FAR parts include sections related to administrative and information matters; required sources of
The National Science Foundation and NVIDIA will invest $152 million in the development of advanced, open-source artificial intelligence models aimed at accelerating American scientific discovery. The public-private investment will support the Open Multimodal AI Infrastructure to Accelerate Science project led by the Allen Institute for AI, or Ai2, NSF said Thursday. Public-Private Investment for Open Source AI Models NSF will provide $75 million, with NVIDIA contributing $77 million. The initiative supports the White House AI Action Plan and aims to ensure the United States remains a leader in AI-powered research and innovation. “As called for in the AI Action Plan,