In Transportation Security Speed Wins

Source Domain: www.hstoday.us

In more than 20 years in aviation security, I have never questioned the intentions or professionalism of my colleagues across industry and government. Some of the most intelligent, mission-driven people I know work in this field. They are committed, deeply and sincerely, to the principle of Never Again.

But today, good intentions and institutional rigor are no longer enough.

Over the past several months, I have become intensely focused on artificial intelligence, not because it builds better slide decks or automates workflows (though it does), but because it is redefining the national security landscape in real time. And the pace of change is deeply unsettling.

If you are among those who have said, “I tried AI—it’s not that impressive,” or “It won’t touch our sensitive or classified workflows,” I encourage you to revisit that assumption. Open the most recent versions of leading frontier models released in just the past few weeks. The progress over the last several months alone is staggering. Many experts now anticipate that within a year, these systems will be capable of materially accelerating complex technical design, reverse engineering processes, and operational planning at levels previously reserved for highly trained specialists.

Let that sink in.

For the past quarter century, regulators, technology developers, and operators (airlines, airports, cargo carriers) have focused on identifying hostile intent and threat materials, then building training, deploying new technologies, and implementing countermeasures to reduce risk. Unpredictability has been layered into the system to guard against the feared black swan.

This model has served us well.

But the time-to-deploy cycle between identifying a new threat and implementing mitigation often spans years. Not because we lack engineering talent, but because aviation security quite appropriately relies on rigorous standards-setting, certification protocols, procurement requirements,…

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