Emerging threats require proactive tools that take a holistic view of corporate networks

Corporate cybersecurity today is tasked with protecting connected hardware and cloud-based software from myriad threats such as unauthorized access and data theft. The next-generation of tools leverage AI and machine learning to dominate endpoint protection, detection, and response. The traditional enterprise network perimeter is fading and enterprise workflows are increasingly reliant on the internet and cloud applications. Personal computing devices and connected industrial hardware connect to corporate networks on a daily basis, leaving many potential entry points for malicious actors. The evolving threat landscape requires a holistic approach to cybersecurity that considers an organization's entire network landscape. Advances in AI help companies bridge this gap by detecting threats using behavioral analysis. Companies can now use behavior-based methods to identify threats proactively, even unknown ones which would have otherwise gone undetected by traditional applications such as antivirus programs. AI also allows for efficient monitoring, investigation, and automation of common remediation tasks that would have been traditionally carried out manually—a time-consuming process prone to error.