Levo.ai Explainer Video | saas explainer video made with ngram

About the video

This saas explainer video was made with ngram to explain how levo.ai approaches runtime security for modern engineering and security teams. the video contrasts legacy, static scanning tools with the dynamic nature of today's applications, where ai agents, apis, and machine-to-machine traffic change faster than older tools can track. it introduces levo's ebpf-based platform as a unified way to protect both api and ai stacks at once, covering visibility across apis, llms, ai agents, and vector stores. key capabilities highlighted include stitching every data flow into a single runtime graph, detecting sensitive data such as pii and phi inline, and blocking real threats while reducing false-positive noise. the explainer frames levo.ai as relevant to engineering leaders scaling security without slowing releases, security leaders dealing with alert fatigue, and compliance leaders preparing for regulations like gdpr, hipaa, and the ai act. it notes that companies such as five9, square, and poshmark already rely on the platform, positioning it as built for the realities of ai-native applications rather than traditional, static environments.