Autonomous XDR | Breaking Cybersecurity News | The Hacker News

For most organizations today, endpoint protection is the primary security concern. This is not unreasonable – endpoints tend to be the weakest points in an environment – but it also misses the forest for the trees. As threat surfaces expand, security professionals are harder pressed to detect threats that target other parts of an environment and can easily miss a real vulnerability by focusing too hard on endpoints. This is why pairing tools such as next-generation antivirus (NGAV) and endpoint detection and response (EDR) has become a popular, if flawed, choice. Fortunately, newer technologies and security methods offer much greater prevention and detection capabilities. This is the key argument of a new eBook ( download here ) offered by XDR provider Cynet. The eBook, titled  Why Autonomous XDR is Going to Replace NGAV/EDR,  starts with a look at how NGAV and EDR tools can defend an organization with the "assume breach" mentality – expecting a breach to occur and protecting endpoi

The attack surface is virtually expanding before our eyes. Protecting assets across multiple locations, with multiple solutions from different vendors, has become a daily concern for CISOs globally.  In a new e-book recently published ( download here ), CISOs with small security teams talk about the drivers for replacing their EDR/NGAV solutions with an Autonomous XDR solution and why they believe consolidation provides significant benefits to organization and team.  The first topic discussed is the need to ensure coverage and have optimal visibility in order to uncover even stealthy threats. Organizations keep adding more and more security solutions that extend visibility, yet these solutions need to be maintained, monitored, and managed, taking up quite a bit of the analyst's time. In addition, these systems each provide some visibility leaving the analysts to make contextual connections and create the complete attack storyline. Unfortunately, these processes take time, and s

Imagine a world where the software that powers your favorite apps, secures your online transactions, and keeps your digital life could be outsmarted and taken over by a cleverly disguised piece of code. This isn't a plot from the latest cyber-thriller; it's actually been a reality for years now. How this will change – in a positive or negative direction – as artificial intelligence (AI) takes on a larger role in software development is one of the big uncertainties related to this brave new world. In an era where AI promises to revolutionize how we live and work, the conversation about its security implications cannot be sidelined. As we increasingly rely on AI for tasks ranging from mundane to mission-critical, the question is no longer just, "Can AI  boost cybersecurity ?" (sure!), but also "Can AI  be hacked? " (yes!), "Can one use AI  to hack? " (of course!), and "Will AI  produce secure software ?" (well…). This thought leadership article is about the latter. Cydrill  (a