By Thyaga Vasudevan, EVP of Product at Skyhigh Security
For decades, enterprise security was largely focused on endpoints and networks. By protecting corporate end-user devices, establishing secure connectivity, and controlling access to on-premises resources, teams could effectively keep their centralized servers secure from intrusion.
Eventually, these priorities evolved as enterprises embraced software-as-a-service (SaaS) models and cloud services, shifting to include new cloud security, data protection, and identity-based controls.
Then employees began working from anywhere, on any device, and the network expanded even further. And if that wasn’t enough, the artificial intelligence (AI) boom came along and made the threat landscape even more complicated.
When users can be in person, remote, or hybrid, and access data from a corporate computer or a personal laptop—then turn around and share that data with third-party AI models—endpoint and network measures alone are no longer sufficient.
