Ziru Labs

AI in Defense Tech and other regulated industries comes with high risk. The reason? The Runtime Verification Gap. Accrediting the environment is not the same as accrediting the computation. In defense, banking, health systems, insurance - once an AI model encounters live data across regulated cloud or edge nodes, real-time verification breaks down - creating massive compliance, safety, and operational risk. We just published our research thesis on how to bridge this gap and unblock critical AI deployments. That’s what Ziru Labs is doing. Inside the paper, we cover: 🔹 Why pre-deployment testing fails at the edge 🔹 The true cost of unverified runtime AI in defense & regulated cloud environments 🔹 An architectural framework for continuous, real-time verification that unlocks autonomy from the defense edge to autonomous pay agents. Ziru Labs CEO @danmartinceo and Jan de Voor (PhD student, Graduate Research Assistant, TigerSec Laboratory at Clemson University) lay it out point by point. 📄 Read the full paper: (Link in the first comment 👇) ⁠#DefenseTech⁠ ⁠#GovTech⁠ ⁠#InfoSec