A Look at Homeland Security Innovation Strategy

The mission of the Department of Homeland Security (DHS) is to "secure the nation from the many threats we face." An underlooked key to this statement is the word "many." Agencies under the Department are responsible for managing our borders, protecting the nation from cyber and physical threats, and supporting recovery from natural disasters and cyber attacks. To meet this mission, DHS has been embracing innovative approaches and emerging technology to supplement the efforts of the workforce charged with meeting these varied threats.

The DHS Innovation, Research & Development Strategic Plan laid out eight scientific areas as focal points for research to support national security:

  • Advanced sensing
  • AI and autonomous systems
  • Biotechnology
  • Climate change
  • Communications and networking
  • Cybersecurity
  • Data integration, analytics, modeling, and simulation
  • Digital identity and trust

As part of its work in each of these areas, DHS will be researching how emerging technology can support mission efforts as well as the risks technology poses to national security. In this blog, we'll take a look at the activity in a couple of these areas. Continue reading

Meet the Chief AI Officer

The executive order (EO) on artificial intelligence, issued in October of 2023, calls on agencies to designate a chief artificial intelligence officer (CAIO) responsible for coordinating AI use, promoting AI innovation, and handling AI-related risk management within their agency. Efforts are underway to codify this mandate, with bills introduced in the House and Senate that would turn the EO recommendation into law.

In the year since the mandate and in advance of legislated requirements, agencies have worked to not only fill but define this new CAIO role. In some instances, CAIO duties have been added to the job description for an existing executive--typically the chief data officer or chief technology officer--but in others, a stand-alone position has been created to meet the agency's AI needs. Continue reading

FITARA 18 Sees Agencies Move to the Head of the Class

FITARA

The latest Federal Information Technology Acquisition Reform Act (FITARA) scorecard, released in September, showed dramatic improvements in the progress agencies have made towards meeting IT modernization goals. The overall grades of 18 of the 24 tracked agencies increased, while grades for the remaining six agencies were unchanged. Per the scorecard,13 agencies now have an overall 'A,' 10 have a 'B,' and only one agency--the Energy Department--has a grade of 'C.' The Department of Health and Human Services and the Department of State showed the greatest improvements, with both agencies' grades moving from 'D's to 'A's.

The grading categories, unchanged from the previous report, measured agency CIO authority enhancements; CIO investment evaluation; cloud computing; modernizing government technology; cybersecurity; and progress transitioning from legacy contracts to the GSA's newer Enterprise Information Solutions (EIS) contract. Improvements in the categories of cloud computing, cybersecurity, and EIS transition contributed to higher scores. Continue reading

Next Gen Tech Needs Next Gen Acquisition

The speed at which technology evolves presents many challenges for the federal government, the first being the actual acquisition of solutions. Government procurement processes and policies have had to adjust and evolve to enable agencies to buy and implement the emerging technologies that support their mission.

Utilizing Existing Platforms

The Federal Risk and Authorization Management Program (FedRAMP) may be the largest and most visible example of this evolution, allowing agencies to securely acquire cloud solutions. The program is being used as a platform to ensure that other transformative technologies, like the cloud, can securely make their way into government systems. The Emerging Technology Prioritization Framework provides guidance on how cloud service providers can request their emerging tech-powered products be prioritized and then implemented. The initial focus will be on artificial intelligence (AI) solutions, focusing on chat interfaces, code generators and debugging tools, image generators, and associated application program interfaces. Continue reading