robotics | Breaking Cybersecurity News | The Hacker News

A team at a robot cybersecurity startup has released a free, open-source tool for information security professionals to help them easily 'footprint' and detect unprotected robots, not only connected to the Internet, but also to the industrial environments where they operate. Dubbed " Aztarna ," the framework has been developed by Alias Robotics , a Spanish cybersecurity firm focused on robots and is capable of detecting vulnerable industrial routers and robots powered by ROS (Robot Operating System), SROS (Secure ROS) and other robot technologies. Written in Python 3, Aztarna is basically a port scanning tool with a built-in database of fingerprints for industrial routers (including Westermo, Moxa, Sierra Wireless, and eWON), and robotic technologies and components, as well as patterns that power the tool to test those devices against various known vulnerabilities and security misconfigurations. Researchers at Alias Robotics told The Hacker News that Aztarna h

Tay, Microsoft's new Artificial Intelligence (AI) chatbot on Twitter had to be pulled down a day after it launched, following incredibly racist comments and tweets praising Hitler and bashing feminists. Microsoft had launched the Millennial-inspired artificial intelligence chatbot on Wednesday, claiming that it will become smarter the more people talk to it. The real-world aim of Tay is to allow researchers to "experiment" with conversational understanding, as well as learn how people talk to each other and get progressively "smarter." "The AI chatbot Tay is a machine learning project, designed for human engagement," a Microsoft spokesperson said. "It is as much a social and cultural experiment, as it is technical. Unfortunately, within the first 24 hours of coming online, we became aware of a coordinated effort by some users to abuse Tay's commenting skills to have Tay respond in inappropriate ways. As a result, we have taken Tay offline and are

Identities now transcend human boundaries. Within each line of code and every API call lies a non-human identity. These entities act as programmatic access keys, enabling authentication and facilitating interactions among systems and services, which are essential for every API call, database query, or storage account access. As we depend on multi-factor authentication and passwords to safeguard human identities, a pressing question arises: How do we guarantee the security and integrity of these non-human counterparts? How do we authenticate, authorize, and regulate access for entities devoid of life but crucial for the functioning of critical systems? Let's break it down. The challenge Imagine a cloud-native application as a bustling metropolis of tiny neighborhoods known as microservices, all neatly packed into containers. These microservices function akin to diligent worker bees, each diligently performing its designated task, be it processing data, verifying credentials, or