AI takes the bag lane 🛄, humans kept honest by dice roll 🎲

Date (UTC): 2026-07-12

Hi its Sam Chandra - CEO/Founder of Deepsky and the author of this newsletter. Here’s my take on todays news - which represents the last few days of AI in Aviation happenings around the world:

The story of this edition is the security lane. The TSA has certified its first AI screening software, image recognition that reads the checkpoint CT scans and flags suspect carry on bags for the screener. Europe got here first, Frankfurt already runs it across every terminal, and the Americans are now following. Radiology went through the same shift, AI reads every scan and the specialist handles the exceptions, so we might finally see security queues speed up around the world. Hopefully.

Elsewhere, Ukraine showed an interceptor drone with one button left for the human, GPT-5.6 walked out of its government gate, and Oshkosh opens next week, so expect editions next week to be wall to wall cockpit AI. Enjoy.

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🛄 Airports & security

The TSA Certifies Its First AI Screener

SeeTrue became the first company to have AI screening software certified by the TSA, and it is already live at PreCheck lanes. The certification ladder hands screening to the AI in three stages, each cutting the share of clean bags deliberately thrown to the human as a check, down to roughly 10 percent random alarms at Stage 3 (we are at Stage 1 today), with an end state of humans reviewing just 15 to 20 percent of bags. It is EASA’s AI levels wearing a security uniform.

🗼 Regulators

EASA Runs an Olympics for Aviation AI

EASA opened a competitive showcase it is calling the Olympics for aviation AI based systems, capped at fifty entries, with the best invited to present at its AI Days conference in Cologne this September. Entries closed on 9 July, and the shortlist will be a useful map of who the regulator thinks is worth watching.

🪖 Military

Ukraine Shows an Interceptor With One Button Left for the Human

Ukraine’s F-Drones released test footage of LITAVR, which it calls the first fully autonomous interceptor drone: it detects, pursues and destroys targets like Shaheds with human input reduced to a single button press. The aircraft has been in serial production since late last year; the fully autonomous mode is the new part.

The 2030 Wingman Will Not Be a Missile Truck

At the AIAA AVIATION forum, industry figures argued the Collaborative Combat Aircraft of 2030 will look nothing like today’s assumptions, evolving from weapons carriers into multi role electronic warfare, sensing and relay platforms, and flagged the missing common interface standards as the drag on the whole ecosystem.

🧠 AI (in general)

GPT-5.6 Walks Out of the Government Gate

OpenAI’s GPT-5.6 family, Sol, Terra and Luna, went to full public release across ChatGPT, Codex and the API after the Commerce Department cleared its government gated preview. Every tier, including the budget Luna, carries a High cybersecurity and bio risk classification, and enterprises are being told to deploy behind logging and human review. The gate we covered three weeks ago has now fully opened.

Meta Ships Its First Paid Frontier Model

Meta released Muse Spark 1.1, a frontier class agentic model with a million token context window, multimodal input and computer use, as its first paid model alongside a new public Meta Model API. It landed the same day as GPT-5.6’s release, which tells you how crowded the top of the market has become.

🧑‍✈️ Pilot assistance & GA

Garmin Rebuilds the Panel Around Its Automation

Garmin unveiled AXIS, a new generation of integrated flight displays for certified pistons and experimentals with the IFR GPS, navcom and audio panel built in. The AI angle is thin but the automation angle is not: the displays carry Garmin’s Autonomí suite, Smart Glide and the emergency button among them, pushing autoland grade automation further down the GA fleet.

Sam here again, hope you have enjoyed reading this edition. The screening story is the template worth keeping: autonomy granted in stages, each stage earned with evidence, and a human kept in the loop by design. That is how aviation has always done automation, and it is how operators should bring AI into their own businesses too. Deepsky is built by seasoned flight operations people, and we help operators do exactly that, applied where the benefit can actually be measured.

If you want guidance to help bring AI into your flight operation, contact me at sam@deepskyai.com or visit deepskyai.com.