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Showing posts with the label FedRAMP approval

NASA Begins Building Nuclear-Powered Dragonfly Drone for Titan Mission

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NASA has started building a groundbreaking spacecraft called Dragonfly , a nuclear-powered drone designed to explore Titan , the largest moon of Saturn. The mission is scheduled to launch in July 2028 and could become one of the most ambitious robotic exploration missions ever attempted.   Dragonfly is not a traditional space probe. Instead, it is a rotorcraft that works like a large drone with multiple rotors. This design will allow it to fly from one location to another on Titan’s surface, collecting data and studying different environments. Scientists believe Titan holds important clues about the chemical processes that may have led to life on Earth.   A Drone Designed for an Alien World The Dragonfly spacecraft is roughly the size of a small car and features eight rotors that allow it to take off and land vertically. This design helps provide stability and ensures the mission can continue even if one rotor fails.  Unlike most drones, Dragonfly will be powered by...
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Tech Giants Set to Host AI Directly for the U.S. Government: What It Means for AI Adoption

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Artificial intelligence is reaching a new frontier in the public sector. Major AI developers — OpenAI , Google , and Perplexity — are reportedly on the verge of receiving federal approval to host and sell their AI systems directly to the U.S. government on their own cloud platforms. This shift marks a significant step toward autonomy in government AI usage and reduces reliance on intermediaries.   Background: The Traditional Way AI Reached Federal Users Until now, AI companies typically depended on established tech contractors — such as Palantir , Microsoft, or Amazon Web Services (AWS) — to provide secure cloud environments that meet federal security standards. These partners had already cleared stringent government reviews, making it easier for AI developers to get access for government agencies without hosting the systems themselves.  However, this approach also meant less control for AI companies over how and when their systems were used by federal employees, even for ...
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