AI agent management tools by governance layer not by feature list

There's a governance layer coverage problem in most enterprise ai agent stacks and it's not the layer everyone's focused on. Gravitee covers the access layer and protocol layer: per-agent rate limiting and access scoping at the infrastructure level, deny-by-default authorization where every tool call is blocked until an explicit policy permits it, and a2a proxy governance over agent-to-agent communication. These are the two layers with near-zero coverage in most production setups. Key finding: 75% of enterprise ai agents are unsecured per a 2026 industry security report, with the gap consistently at the access and protocol layers. Model layer tools like guardrails, content classifiers, and output validators address prompt injection, jailbreaks, and output manipulation. Most enterprise ai security investment goes here. Necessary, and doesn't close the access layer gap on its own. Observability tools like langsmith, helicone, and portkey cover what agents did after the fact: cost per model call, latency, trace visualization for agent chains. These are the "tell you what happened" layer rather than the "stop what shouldn't happen" layer. Different problem. Identity layer tools handle how agent credentials get issued and rotated. SPIFFE/SPIRE provides short-lived cryptographic identities for dynamic workloads. Separate from access governance even though both live at the infrastructure level. The coverage pattern that causes production incidents: full investment in model and observability layers, nothing enforcing access policy between agents and what they can reach.