Selecting enterprise AI tools to support the homeland security mission

U.S. Army Yuma Proving Ground’s non-destructive testing capability could use AI to help assess possible problems and predict expected life of artillery tubes. (U.S. Army photo by Mark Schauer)

By Bridget E Bean and Matt Lyttle • Oct 24, 2025

Artificial intelligence is no longer a futuristic concept — it is a force multiplier shaping national security operations in real time. From TSA’s screening analytics to FEMA’s disaster assessment models, AI already augments the homeland mission. The question is no longer whether agencies should adopt AI tools, but how to do so responsibly, securely, and effectively.

The stakes are high. A flawed AI decision can erode public trust, introduce systemic bias, or cause mission failure. Yet a “wait and see” approach guarantees that adversaries and emerging threats will outpace our defenses. Selecting an AI tool is not an IT procurement; it’s a strategic risk-management decision that directly affects operational readiness.

To de-risk these investments, homeland security leaders must move beyond transactional procurement toward a disciplined, continuous readiness model. We propose leaders mirror the sector’s familiar Preparedness, Training, and Exercise (P-T-E) cycle in their adoption. This five-step Continuous AI Readiness Framework ensures that tools are rigorously vetted, ethically governed, and fully integrated into mission operations from day one.