The outage left millions of Starlink customers in the dark back in August of 2025, dealing a blow to the company's image as an always-on satellite internet provider.
The German military also uses this airborne communications hub, which allows command staff and soldiers deployed abroad to communicate across continents. The information they share is classified, strictly confidential.
Signals from Global Navigation Satellite Systems are quite vulnerable. They are exceptionally weak, meaning that any radio noise near their frequency, accidental or malicious, can interfere with reception. I am confident that there are people in every government who understand the problem. The challenge is getting leadership to both understand and act to reduce the risk.
So we've gone from identifying the target to now coming up with a course of action, to now actioning that target, all from one system. This is revolutionary. We were having this done in about eight or nine systems where humans were literally moving detections left and right in order to get to our desired end state, in this case closing a kill chain.
When civilian banks, logistics platforms, and payment processors share physical data center infrastructure with military AI systems, those facilities become legitimate military targets under international humanitarian law - and the civilian services housed inside lose their legal protection.
NATO countries' restrained response to hybrid attacks is at odds with public opinion, new polling shows: Broad swaths of the public in key allied countries say actions such as cyberattacks on hospitals should be considered acts of war. The POLITICO Poll, conducted in the United States, Canada, France, Germany and the United Kingdom, showed a majority of people agreed that a cyberattack that shuts down hospitals or power grids constitutes an act of war. Canadians felt the strongest about the issue, with 73 percent agreeing.
Britain is to develop new air defence weapons alongside the EU's four biggest military powers, deepening ties with the European defence sector. The project will invite manufacturers in the UK, Germany, France, Italy and Poland to submit plans to build low-cost missiles and autonomous drones. The allies are pledging a speedy process to build the weapons together, inspired by Ukraine's development of cheap drones to counter attacks from Russia.
When the user asks "What enemy military unit is in the region?" the AIP Assistant guesses that it's "likely an armor attack battalion based on the pattern of the equipment." This prompts the analyst to request a MQ-9 Reaper drone to survey the scene. They then ask the AIP Assistant to "generate 3 courses of action to target this enemy equipment," and within moments, the assistant suggests attacking the unit with either an "air asset," a "long range artillery," or a "tactical team."
Number one is speed takes priority over perfection. We can iterate to get to operational capability. And the second is that early soldier feedback is critical in order to make sure we're getting the right technology for the future fight, and then we want to be able to prove the demand signal before we spend big dollars on programs.
The report catalogues a relentless barrage of cyber operations, most by state-sponsored groups, against EU and US industrial supply chains. It suggests the range of targets for these hackers has grown to encompass the broader industrial base of the US and Europe from German aerospace firms to UK carmakers. State-linked hackers have long targeted the global defence industry, but Luke McNamara, an analyst for Google's threat intelligence group, said they had seen more personalised and direct to individual targeting of employees.
Altman said the Pentagon agreed with his company's principles that OpenAI's technology would not be used for domestic mass surveillance or for autonomous weapon systems, affirming that humans would take responsibility for the use of force.
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