Does your company utilize AI or ML? Artificial intelligence and machine learning bring new vulnerabilities along with their benefits. Learn how several companies have minimized their risk in this informative CSO article: . When enterprises adopt new technology, security is often on the back burner. It can seem more important to get new products or services to customers and internal users as quickly as possible and at the lowest cost. Good security can be slow and expensive. Artificial intelligence (AI) and machine learning (ML) offer all the same opportunities for vulnerabilities and misconfigurations as earlier technological advances, but they also have unique risks. As enterprises embark on major AI-powered digital transformations, those risks may become greater than what we've seen before. AI and ML require more data, and more complex data, than other technologies. The algorithms used have been developed by mathematicians and data scientists and come out of research projects. Meanwhile, the volume and processing requirements mean that the workloads are typically handled by cloud platforms, which add yet another level of complexity and vulnerability. The link for this article located at CSO Online is no longer available. . Organizations frequently emphasize swift implementation of AI and ML technologies, yet safeguarding must remain a focal point within the intricacies involved.. AI Risk Management, Secure Machine Learning, Data Protection Strategies, Cloud Security Challenges. . Brittany Day
Nearly 40 percent of enterprise network devices exhibit some form of security vulnerability, according to a study published today.. Dimension Data, a global IT solutions and services provider, today announced the findings from its Network Barometer Report 2010, which compiles vulnerability information from the 235 network and security ssessments it performed for enterprises in 2009. According to the study, more than 38 percent of network devices assessed by Dimension Data -- including routers, switches, and gateways -- exhibited security vulnerabilities, exposing their organizations to external and internal security attacks. There was an average of 40.7 configuration best practice errors per network device, which increases the level of vulnerability, Dimension Data says. More than 17 of those configuration errors were directly related to security. The link for this article located at Dark Reading is no longer available. . A recent analysis by Dimension Data uncovers shocking figures regarding security weaknesses within enterprise network devices.. Network Security, IT Vulnerabilities, Configuration Management. . Anthony Pell
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