Conventional Cybersecurity No Longer Works

Cybersecurity focuses on protecting your company’s sensitive data from criminals. But with constantly advancing and expanding threats, conventional analysis is no longer meeting the challenge. An organization’s data is now most often the most important tool in that fight. The tools of collection and analysis associated with big data have evolved to be the most effective tools in preventing breaches—and in identifying them quickly when they do occur.

Anti-virus programs and IT departments alike increasingly rely on big data. It is their best option for identifying new threats—advanced threat detection is powered by big data’s ability to quickly recognize patterns associated with malicious files. Machine learning allows programs to recognize a greater range of anomalous events, catching threats that would have bypassed any set of rules established by a security expert. The greater the range of threats the dataset contains, the more able a machine learning system will be to spot new types of threats.

The article “When big data and cybersecurity collide,” from CIO magazine’s Ravi Kumar, further explores new trends in protecting your company’s data.