Artificial intelligence
fromSecuritymagazine
8 hours agoPhysical Security in Global Arenas: How AI Improves Security at Scale
Agentic physical security uses AI to transform surveillance into proactive threat prevention at large events.
CEO Chris Calio emphasized the urgency of delivering critical products for national security, stating, 'We understand that our products are critical to national security. And I can tell you across the organization, we absolutely feel the responsibility and urgency to deliver more and to deliver it faster.'
"World Cloud Security Day is a useful reminder to recognize how much cloud risk now comes down to everyday access decisions and overlooked misconfigurations," says James Maude, Field CTO at BeyondTrust.
"To accelerate current weapons development timelines, DARPA is considering an alternative development paradigm to increase the nation's magazine depth and breadth."
John Conafay, a veteran of the US Air Force, has spent most of his career leading business development at public and private aerospace companies, including Spire, Astranis, and ABL Space Systems. At each company, Conafay ran into the same software hurdle: collaborating on government contracts was a logistical mess that forced his teams and their federal counterparts to rely on a tedious back-and-forth of PDFs and Excel files.
For some weapons, the hardest fight wasn't against the enemy, in fact it was more so against wear and time. Advanced technology has delivered decisive advantages but in some cases has imposed relentless upkeep on crews and logistics chains. Here, 24/7 Wall St. is taking a closer look at how these systems became a maintenance nightmare for the U.S. Military.
From the very beginning, this has been about one fundamental principle: the military being able to use technology for all lawful purposes. The military will not allow a vendor to insert itself into the chain of command by restricting the lawful use of a critical capability and put our warfighters at risk.
But logistical consistency, like coherence and gravitas, does not characterize the new NDS. It is a document that supposedly nests within the National Security Strategy, explaining at greater length the implications of overall policy for the armed forces. The 2026 version does not do that. Rather, it restates some of the basic priorities of the Trump administration but for the most part confines itself to flattery of the president, insults, and bombast.
According to the Secretary of Defense Pete Hegseth's memorandum on the Strategy, this AI-first status is to be achieved through four broad aims: Incentivizing internal DOD experimentation with AI models. Identifying and eliminating bureaucratic obstacles in the way of model integration. Focusing the U.S.'s military investment to shore up the U.S.'s "asymmetric advantages" in areas including AI computing, model innovation, entrepreneurial dynamism, capital markets, and operational data.
The US Army's biggest AI gamble may not be on autonomous weapons, but instead whether Silicon Valley software can tackle the service's most tedious and, more often than not, grueling administrative jobs. Think less uncrewed aircraft and more behind-the-scenes tasks like recruiting, equipment maintenance, and endless gear inventories. Through a mix of new tools, redesigned workflows, and data integration, logisticians