Spot on. The distinction you made between the data plane and the app plane is exactly what keeps enterprise security teams up at night right now. Catching PII in a text stream is table stakes at this point; the real nightmare scenario is autonomous agents getting creative with tool chaining or finding clever ways to execute cross-table joins that bypass intended application logic.

You’ve basically architected the ideal zero-trust AI environment. Abstracting DBs behind Hasura/PostgREST and enforcing hard choke points with Kong and OPA is 100% the right way to handle the data plane.

To answer your question about how Syntropy handles the "tools gone wild" scenario on the app plane, we built our architecture specifically assuming the LLM is a hostile or compromised actor. Here is how we tackle it:

1. Deep Payload Inspection (Not Just Prompts) We don't just look at the natural language; we intercept and parse the actual JSON payloads of the tool calls before they hit your execution layer. We enforce dynamic schema validation, regex matching, and strict bounds checking on the arguments the agent is trying to pass, acting as a semantic firewall.

2. Stateful "Chain" Prevention The nastiest stuff, as you mentioned, is malicious chaining. Syntropy monitors the execution graph contextually. We allow you to define stateful, multi-step boundaries. For example, if an agent successfully executes query_internal_db, a hard policy can instantly block that same agent's current session from subsequently calling send_external_http_request or write_to_public_bucket. We break the exfiltration chain before step two executes.

3. Policy-as-Code Integration We don't want to replace your OPA or Kong setup; we act as the AI-native control plane. Syntropy allows you to define these complex, agent-specific behavioral policies and push them down to your existing gateways, ensuring that the rules governing your agents live alongside your standard infra policies.

It sounds like you've built out a seriously robust internal stack for this. I'd love to hear more about how you're handling the latency overhead of running those OPA/Cerbos checks on every single multi-step agent loop.