Security Information and Event Management | Breaking Cybersecurity News | The Hacker News

Processing alerts quickly and efficiently is the cornerstone of a Security Operations Center (SOC) professional's role. Threat intelligence platforms can significantly enhance their ability to do so. Let's find out what these platforms are and how they can empower analysts. The Challenge: Alert Overload The modern SOC faces a relentless barrage of security alerts generated by SIEMs and EDRs. Sifting through these alerts is both time-consuming and resource-intensive. Analyzing a potential threat often requires searching across multiple sources before finding conclusive evidence to verify if it poses a real risk. This process is further hampered by the frustration of spending valuable time researching artifacts that ultimately turn out to be false positives. As a result, a significant portion of these events remain uninvestigated. This highlights a critical challenge: finding necessary information related to different indicators quickly and accurately. Threat data platforms o

In today's world your network is subject to a multitude of vulnerabilities and potential intrusions and it seems like we see or hear of a new attack weekly. A data breach is arguably the most costly and damaging of these attacks and while loss of data is painful the residual impact of the breach is even more costly. The loss or leakage of sensitive data can result in serious damage to an organization, including: Loss of intellectual property Loss of copyrighted information Compliance violations Damage to corporate reputation/brand Loss of customer loyalty Loss of future business opportunities Lawsuits and ongoing litigation Financial and criminal penalties To help you protect sensitive data and reduce the risk of data loss, we recommend using a Security Information and Event Management ( SIEM ) technology such as SolarWinds® Log & Event Manager . If you're not familiar with Log & Event Manager (LEM), it's a comprehensive SIEM product, packaged in an ea

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