You find an over-restriction because something legitimate breaks and points at the spot, and it breaks earlier the earlier you encode the rule. You do not find an over-permission the same way, because nothing legitimate ever exercises it. Here is the asymmetry, a worked example, and where it stops being true.
We indexed 300 popular packages with knowing’s code graph, computed isolation scores based on credential access + process spawning patterns, and achieved a 1.0% false positive rate across both the initial 200 and a held-out 100. No sandbox. No execution. No heuristics. Just graph structure.
Most developers cargo-cult their SSH config from Stack Overflow. This is the setup I actually run: three GitHub identities on one machine, persistent control sockets, conditional git configs that auto-select the right key, and pinned known_hosts. No third-party tools.
Kubernetes Secrets are simple and often sufficient. But at scale, some teams separate compute from secret storage. Understanding the trade-offs: etcd vs cloud vaults, cluster RBAC vs cloud IAM, sync patterns vs runtime access, and when each pattern makes sense.
JSON has no built-in security. The ecosystem response: JWT for authentication, JWS for signing, JWE for encryption. Learn how these work, common attacks (algorithm confusion, injection, timing), and how to secure JSON-based systems.