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Speed Is Crucial in Transportation Security

Speed Is Crucial in Transportation Security
After more than two decades in aviation security, I have consistently respected the professionalism and dedication of colleagues across both industry and government. The field is populated by intelligent, mission-driven individuals committed to the principle of “Never Again.” However, in today’s rapidly evolving security environment, good intentions and institutional rigor alone are no longer sufficient to address emerging challenges.
The Transformative Impact of Artificial Intelligence
Artificial intelligence is fundamentally reshaping national security in real time, with a pace of change that is both staggering and unsettling. The assumption that AI is irrelevant to sensitive or classified workflows must be reconsidered. Recent advances in frontier AI models, unveiled only weeks ago, demonstrate progress that would have been unimaginable just months prior. Experts now predict that within a year, these systems will be capable of accelerating complex technical design, reverse engineering, and operational planning—tasks traditionally reserved for highly trained specialists.
For the past 25 years, aviation security has concentrated on identifying hostile intent and threat materials, developing training programs, deploying new technologies, and implementing countermeasures. The system has incorporated unpredictability to guard against catastrophic surprises. While this approach has served well, the cycle from threat identification to mitigation deployment often spans years. This delay is not due to a lack of engineering talent but stems from the necessary rigor of standards, certification, procurement, and oversight processes.
Historically, such rigor has been a strength. Today, however, it risks becoming a vulnerability. While governments and experts spend months or years developing standards and navigating procurement, adversaries are leveraging AI to innovate attack methods at unprecedented speed. A recent demonstration by a former FBI colleague highlighted an AI agent—constructed from open-source code and publicly available information—that can assist in designing improvised explosive devices and estimate the likelihood of evading detection. This is not a hypothetical future threat; it is a present reality.
Broader Challenges in Transportation Security
These AI-driven challenges are compounded by broader disruptions in transportation security. Geopolitical instability, tariffs, and persistent security risks continue to disrupt global trade. Market responses are evident as companies increasingly adopt advanced software platforms to enhance response speed, execution, and decision-making across supply chains. Competitors are also integrating quantum technologies to strengthen logistics and supply chain resilience. Meanwhile, the Logistics Managers Index reports rising transportation and inventory costs, signaling inflationary pressures that have yet to fully impact consumers but threaten to further strain supply chain efficiency and security.
The reality is clear: the genie cannot be put back in the bottle, but adaptation is imperative—quickly, deliberately, and collectively.
A Call to Action
To meet these challenges, government explosives detection experts should focus exclusively on standards iteration and equipment evaluation, relieved from administrative burdens. Expertise must be consolidated in dedicated “war rooms” that pair senior experts with emerging engineering talent, empowered to move swiftly and iterate continuously. Furthermore, like-minded governments should establish secure, AI-enabled platforms to keep pace with evolving threats and rapidly develop new standards.
In this new era, speed is as critical as rigor. The future of transportation security depends on our ability to adapt at the pace of emerging threats—before adversaries exploit the gap.

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