CloudFence fills a unique gap in the cloud space. For a long time, getting real visibility into the cloud network and hypervisor layers has been incredibly difficult. CloudFence not only delivers a detailed level of insight in those areas, but also uses traditional AI/ML (NOT LLM) to establish a configuration baseline and perform anomaly detection on network behavior patterns. They complement this with identity controls for cloud environments that feel especially relevant in the AI era. The result is observability, alerting, and control at the intersection of what identities are permitted to do and what they can actually access over the network.

CloudFence provides excellent real-time visibility into our network activity, making it easy to understand what's happening across our cloud environment at any given moment. The anomaly detection feature has been particularly valuable, consistently identifying unusual behavior early enough for us to address potential issues before they escalate. The IAM analysis is another strong point, giving us clear insight into permissions and access patterns that has helped strengthen our overall security posture. What stands out most is that all of this functionality comes packaged in a genuinely user-friendly interface, allowing us to get up and running quickly without a steep learning curve.