38 Terabytes of data accidentally leaked.
Article from PC Mag.
A misconfigured link accidentally leaked access to 38TB of Microsoft data, opening up the ability to inject malicious code into its AI models.
The finding comes from cloud security provider Wiz, which recently scanned the internet for exposed storage accounts. It found a software repository on Microsoft-owned GitHub dedicated to supplying open-source code and AI models for image recognition.
Microsoft AI researchers accidentally exposed tens of terabytes of sensitive data, including private keys and passwords, while publishing a storage bucket of open source training data on GitHub.
In research shared with TechCrunch, cloud security startup Wiz said it discovered a GitHub repository belonging to Microsoft’s AI research division as part of its ongoing work into the accidental exposure of cloud-hosted data.
Readers of the GitHub repository, which provided open source code and AI models for image recognition, were instructed to download the models from an Azure Storage URL. However, Wiz found that this URL was configured to grant permissions on the entire storage account, exposing additional private data by mistake.
By regularly patrolling the property, armed guards prevent potential crimes simply by being present. Security patrols involve reviewing and monitoring the premises to ensure they are safe from potential threats.
However, foot patrol guards travel slowly and carry limited equipment. Due to this, the guard’s range and area coverage are relatively restricted. Patrolling guards also need help to do their duty in harsh weather conditions.
A Swiss Security and Investigations company, Ascento, has unveiled their new autonomous security patrolling robot, Ascento Guard.
Developed by a spinoff from ETH Zurich, the Ascento Guard is the newest kid on the block for autonomous security robots. It also happens to be very cute.
A Swiss startup called Ascento has recently unveiled its novel and adorable new security robot called the Ascento Guard. An autonomous outdoor security robot’s standout features are its wheeled “legs” and cartoon-esque, almost anthropomorphic “face.”
ETH Zurich/ YouTube.
The US Space Force’s ‘Victus Nox’ mission launched aboard a Firefly Alpha rocket that lifted off from Vandenberg Space Force Base, California.
The US Space Force announced in a press statement today, September 15, that Firefly Aerospace successfully launched a Millennium Space satellite yesterday.
That mission launched on an incredibly short 24-hour timeline, showcasing the capability for rapid deployment of national security missions.
The British Army has just showcased its next-generation, jet-propelled, heavy-lift Hydra 400 drone at this year’s DSEI conference in London.
The British Ministry of Defense (MoD) officially displayed its latest jet-propelled, heavy-lift drone at the Defence and Security Equipment International (DSEI) conference at the ExCeL center in London this September (2023). Called the Hydra 400, the British Army stand also featured the drone’s Aether mothership. A pioneering new generation of heavy-lift drones using hybrid propulsion technology (rotors and jet engines), the Hydra 400 is compact and portable, can be transported on a regular pickup truck, and can be prepared for flight in six minutes. It… More.
MoD
Researchers at Max Planck Institute of Quantum Optics (MPQ) and Technical University of Munich (TUM) demonstrated a potential platform for large-scale quantum computing and communication networks. Secure quantum networks are of interest to financial institutions, medical facilities, government agencies, and other organizations that handle personal data and classified information due to their much higher level of security.
To create an environment that supported quantum computing, the researchers excited individual atoms of the rare-earth metal erbium. The excitation process caused the erbium atoms to emit single photons with properties suitable for the construction of quantum networks.
I hope this isn’t a duplicate but that’s amazing! I dunno if I shared the latest Google cloud security conference? It’s an hour and they’re using advanced AI and even collaborating with Israel I think.
After 17 medical consultations led to dead ends, a mother turned to ChatGPT for help. Then, AI came up with a diagnosis.
A machine-learning algorithm demonstrated the capability to process data that exceeds a computer’s available memory by identifying a massive data set’s key features and dividing them into manageable batches that don’t choke computer hardware. Developed at Los Alamos National Laboratory, the algorithm set a world record for factorizing huge data sets during a test run on Oak Ridge National Laboratory’s Summit, the world’s fifth-fastest supercomputer.
Equally efficient on laptops and supercomputers, the highly scalable algorithm solves hardware bottlenecks that prevent processing information from data-rich applications in cancer research, satellite imagery, social media networks, national security science and earthquake research, to name just a few.
“We developed an ‘out-of-memory’ implementation of the non-negative matrix factorization method that allows you to factorize larger data sets than previously possible on a given hardware,” said Ismael Boureima, a computational physicist at Los Alamos National Laboratory. Boureima is first author of the paper in The Journal of Supercomputing on the record-breaking algorithm.
Fifty years ago, the average business transaction was pretty straightforward. Shoppers handed purchases directly to cashiers, business partners shook hands in person, and people brought malfunctioning machines to a repair shop across the street. The proximity of all participating parties meant that both customers and businesses could verify authority and authenticity with their own eyes.
