AI in Cybersecurity

AI has the New Patten Technic for advanced Malware 👉AI malware AI-driven malware is conventional malware altered via AI to make it more effective. It can use its intelligence to infect computers faster or make attacks more efficient. Conventional malware in a sense is dumb. It is a set of pre-created, fixed code that tries to sneak past defenses . In contrast AI-driven malware can think for itself, to an extent.   BullGuard Dynamic Machine Learning continually accesses large and dynamic pools of data that are constantly updated. It draws on this mass of data to make decisions about whether or not code is harmful based on a series of traits. Some code traits, for instance, may rank higher than other traits

  The enterprise attack surface is massive, and continuing to grow and evolve rapidly. Depending on the size of your enterprise, there are up to several hundred billion time-varying signals that need to be analyzed to accurately calculate risk.  The result? Analyzing and improving cybersecurity posture is not a human-scale problem anymore.  In response to this unprecedented challenge, Artificial Intelligence (AI) based tools for cybersecurity have emerged to help information security teams reduce breach risk and improve their security posture efficiently and effectively.  AI and machine learning (ML) have become critical technologies in information security, as they are able to quickly analyze millions of events and identify many different types of threats – from malware exploiting zero-day vulnerabilities to identifying risky behavior that might lead to a phishing attack or download of malicious code. These technologies learn over time, drawing from the past to iden...