Lifeboat Foundation

The operations are based on an outdoor docking system that incorporates the firm’s AtlasPRO tricopter drones meant for surveillance.

Providing fool-proof security at airports proves to be challenging due to various logistical limitations, primarily due to its size, even though the airport security system is typically organized clearly and logically.

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After years of anticipation and hard work by NASA’s OSIRIS-REx (Origins, Spectral Interpretation, Resource Identification and Security – Regolith Explorer) team, a capsule of rocks and dust collected from asteroid Bennu finally is on Earth. It landed at 8:52 a.m. MDT (10:52 a.m. EDT) on Sunday, in a targeted area of the Department of Defense’s Utah Test and Training Range near Salt Lake City.

Within an hour and a half, the capsule was transported by helicopter to a temporary clean room set up in a hangar on the training range, where it now is connected to a continuous flow of nitrogen.

Getting the sample under a “nitrogen purge,” as scientists call it, was one of the OSIRIS-REx team’s most critical tasks today. Nitrogen is a gas that doesn’t interact with most other chemicals, and a continuous flow of it into the sample container inside the capsule will keep out earthly contaminants to leave the sample pure for scientific analyses.

In the morning hours of Sept. 24, a small capsule containing surface samples from asteroid 101,955 Bennu careened into Earth’s atmosphere after a seven-year journey through space. The landing of this sample capsule is the culmination of NASA’s historic Origins, Spectral Interpretation, Resource Identification, Security, Regolith Explorer (OSIRIS-REx) asteroid sample return mission, which is now the first American mission to return samples from an asteroid.

The sample return capsule (SRC) landed within a 14 by 58-kilometer ellipse at a Department of Defense property at the Utah Test and Training Range and Dugway Proving Ground in Utah. Touchdown of the SRC occurred at 8:52 AM MDT (14:52 UTC) — three minutes earlier than planned. Low winds and dry weather was present at Dugway during the landing — optimal conditions for the return and recovery of the SRC.

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The New York Police Department (NYPD) is implementing a new security measure at the Times Square subway station. It’s deploying a security robot to patrol the premises, which authorities say is meant to “keep you safe.” We’re not talking about a RoboCop-like machine or any human-like biped robot — the K5, which was made by California-based company Knightscope, looks like a massive version of R2-D2. Albert Fox Cahn, the executive director of privacy rights group Surveillance Technology Oversight Project, has a less flattering description for it, though, and told The New York Times that it’s like a “trash can on wheels.”

K5 weighs 420 pounds and is equipped with four cameras that can record video but not audio. As you can guess from the image above, the machine also doesn’t come with arms — it didn’t quite ignore Mayor Eric Adams’ attempt at making a heart. The robot will patrol the station from midnight until 6 AM throughout its trial run that’s running over the next two months. But K5 won’t be doing full patrols for a while, since it’s spending its first two weeks mapping out the station and roaming only the main areas and not the platforms.

It’s not quite clear if NYPD’s machine will be livestreaming its camera footage, and if law enforcement will be keeping an eye on what it captures. Adams said during the event introducing the robot that it will “record video that can be reviewed in case of an emergency or a crime.” It apparently won’t be using facial recognition, though Cahn is concerned that the technology could eventually be incorporated into the machine. Obviously, K5 doesn’t have the capability to respond to actual emergencies in the station and can’t physically or verbally apprehend suspects. The only real-time help it can provide people is to connect them to a live person to report an incident or to ask questions, provided they’re able to press a button on the robot.

We are entering a new era of AI, one that is fundamentally changing how we relate to and benefit from technology. With the convergence of chat interfaces and large language models you can now ask for what you want in natural language and the technology is smart enough to answer, create it or take action. At Microsoft, we think about this as having a copilot to help navigate any task. We have been building AI-powered copilots into our most used and loved products – making coding more efficient with GitHub, transforming productivity at work with Microsoft 365, redefining search with Bing and Edge and delivering contextual value that works across your apps and PC with Windows.

Today we take the next step to unify these capabilities into a single experience we call Microsoft Copilot, your everyday AI companion. Copilot will uniquely incorporate the context and intelligence of the web, your work data and what you are doing in the moment on your PC to provide better assistance – with your privacy and security at the forefront. It will be a simple and seamless experience, available in Windows 11, Microsoft 365, and in our web browser with Edge and Bing. It will work as an app or reveal itself when you need it with a right click. We will continue to add capabilities and connections to Copilot across to our most-used applications over time in service of our vision to have one experience that works across your whole life.

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Cisco has a reputation of building the company through acquisitions, but it has tended to stay away from the really huge ones. That changed this morning when the company announced it was acquiring Splunk for $28 billion.

With Splunk, it gets an observability platform that could fit nicely into its security business to help customers better understand security threats, while also helping parse oodles of log data to resolve other problems like helping understand system failures or troubleshoot myriad issues across a broad array of enterprise systems.

Under the terms of the deal, Cisco is paying a hefty premium of $157 per share. When you consider that the 52-week low was $65 a share and it has hovered in the high 80s and low 90s much of this year, that’s a big bump for Splunk stockholders and suggests there might have been some competition for the logging giant. The company’s most recent market cap sits at just over $20 billion.

Since its launch in 2017, Harness, the software delivery platform founded by AppDynamics founder and CEO Jyoti Bansal, expanded from being continuous code deployment to covering continuous integration, feature flags, cloud cost management, security testing orchestration, chaos engineering and more. But even though it focused heavily on GitOps, it never offered its own Git repositories. That’s changing today with the launch of the Gitness open-source Git repository and the Harness Code Repository, the hosted and managed version of Gitness.

“There hasn’t been a new Git repo launch in almost a decade,” Bansal told me. “Now you have GitHub, GitLab, Bitbucket from Atlassian, but that’s really it. […] If you look at any of the git repos, whether it’s GitLab or GitHub or Bitbucket, they don’t have the true one source ethos around them anymore. We strongly believe that Git started as open source, so let’s bring the true open-source ethos back to Git repos.”

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.

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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.