Open source software (OSS) has had a tremendous impact on the development and distribution of the software we depend on today. Through its collaborative and open way of both developing and sharing software components, OSS has served as a key engine for innovation and encouraged the widespread reuse and sharing of core software components. Organizations of all sizes are heavily reliant on software, and much of that software supply chain consists of open source software components. Because of this, open source software has cybersecurity implications.
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The Domain Name System (DNS) is essentially the central nervous system of the internet—everyone needs it to work because without DNS services, digital business would come to a halt. Cybercriminals know this, too, and use DNS services to launch their attacks while they simultaneously attack the DNS services of their targets.
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Radiflow
Of course, this cannot be further from the truth: ensuring security and safety of industrial control systems has always been the most important job for OT experts. However, after decades of dealing with unique technologies and regulations and with a traditionally strong focus on human and process safety, securing IT assets was by far not their top priority. As industrial networks are becoming increasingly complex, geographically dispersed and interconnected, however, both impact and probability of numerous cybersecurity risks are growing, and the biggest challenge for CISOs nowadays is no longer how to persuade OT people to take notice, but how to evaluate a vast number of potential threats and to prioritize the actions needed to protect their networks.
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Generative AI has taken the world of work by storm, and left many HR leaders wondering how to best apply it to HR processes — or if we even should. Considerations around privacy and bias are factoring into adoption of AI in performance management, and many business leaders simply don’t know how to determine whether it’s worth th
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