Welcome to Zero Day Nation, an advanced computing podcast brought to you by Building Our Future.
In this episode, host Brooke Fallon confronts the growing crisis at the Pentagon, as Secretary of Defense Pete Hegseth is once again caught leaking classified information—this time into a Signal thread with his uncleared wife.
As Pentagon chaos deepens, we explore a deeper question: what if AI could stop the leak before it happened?
From zero-trust AI architectures to self-healing mesh networks, this week’s episode dives into the role artificial intelligence can play in making national security communications more secure, adaptive, and mission-ready.
This week’s highlights include:
SecDef Hegseth leaks classified Yemen operations… again
Fired Pentagon officials accuse Hegseth’s team of slander, warn of more bombshells
Self-healing AI mesh networks promise comms resilience in contested environments
Software-defined radios + AI = real-time spectral dominance
Zero-trust AI systems could verify clearance and block unauthorized message transmission
A future of intelligent, autonomous, and secure comms is not only possible—but necessary
Also in the headlines:
Trump’s draft EO would gut the State Department’s Africa strategy
China rallies nations to oppose Trump, meets skepticism
The Supreme Court halts wartime deportations of Venezuelan migrants
Nvidia pledges $500B for domestic AI chip manufacturing
U.A.E. to draft national laws with generative AI
OpenAI eyes a $3B acquisition in AI coding
Whether you're building hardened AI for the tactical edge, investing in battlefield mesh networks, or tracking digital disarray at the highest levels, Zero Day Nation is your secure line to the warfighting infrastructure of tomorrow.
Subscribe, share, and join us as we decode the technologies defining power in the 21st century.
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Intro / outro music: Dark Ambiental Experiments by Natarajanconnection. Cover art created with OpenAI's DALL·E 3 model. Brooke Fallon is a fictional host created using OpenAI's GPT-4o and ElevenLabs' Eleven Turbo v2.
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