Security News
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The potential for cloud technologies to break down silos and enable more contextualized views of data is having a dramatic impact on enterprise investment priorities for operations. When asked to identify investment priorities for operations over the next five years, organizations ranked cloud highest, followed by wireless connectivity and artificial intelligence and machine learning, according to a recent Future of Operations survey from IDC. At the same time many enterprises have yet to move their operational data from on-premises to the cloud.
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Dell has announced new features for its ProSupport Suite IT software, and new AI-powered Trusted Device security capabilities, both of which should make businesses with large pools of remote workers take notice. "The rapid shift to remote work, increased use of cloud applications and new ways of addressing employee productivity needs have created new threat vectors at the endpoint," Dell said.
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Communication Service Providers are making AI deployments an immediate priority to improve service experience for customers and reduce operational costs, an Anodot survey reveals. "Instead of waiting for next generation 5G network deployments to invest in AI, the majority of CSPs are already deploying AI on 4G networks now, the infrastructure most of their customers still use," said Anodot CEO David Drai.
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In this interview with Help Net Security, Apoorv Agarwal, CEO at Text IQ, talks about the risk of unstructured data for organizations and the opportunity to leverage AI and automation to identify sensitive data at scale. Ideally, organizations should have a handle on where sensitive information is sitting in their data.
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Consider re-skilling to meet the company's needs as well as the employees'. How many times have you heard a manager respond to employees about organizational change with the words, "It just made sense"? To workers who are adversely impacted by the change, it might not make sense at all.
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Overall, data and AI professionals have a clear desire to learn, with 91% of those surveyed reporting that they're interested in learning new skills or improving existing skills. The survey revealed that one-third of professionals have dedicated more than 100 hours to training and development, which ultimately led to an average salary increase of $11,000.
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From factory machinery that can analyze its sensor data for predictive maintenance, to driverless cars that can collect and process real-time traffic data without the cloud, the fast-approaching age of smart devices at the edge promises plenty for users and businesses. Let's dive deeper into the age of AI-powered devices at the edge and what it means for cybersecurity.
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The massive attack on Microsoft Exchange servers in March may have been China harvesting information to train AI systems, according to US government officials and computer-security experts who talked to NPR. The plundering of these Exchange systems was attributed to Chinese government cyber-spies known as Hafnium; Beijing denied any involvement. It's said the crew exploited four zero-days in Redmond's mail software in a chain to hijack the servers and siphon off data.
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Figure A. Outside of the features Private Compute Core will bring to your device, one of the more important things it does is store data separate from all apps and services, while making that data available to the operating system when required. With Private Compute Core at work, that data is processed within its own sandbox, away from everything else, and then the captions are presented for your viewing.
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Aviotec's new firmware version 7.81 comprises AI algorithms which can now detect fire and smoke in changing weather and light conditions. The AI algorithms have been developed further to ensure reliability for sheltered outdoor areas.