CentralMind Gateway — agentic threat model
CentralMind Gateway acts as a high-risk bridge between LLM agents and enterprise databases by auto-generating and hosting APIs directly from database schemas. Its primary risk lies in the potential for unauthorized data exposure or destructive database actions if the generated endpoints lack rigorous access controls or input sanitization.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.80 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.30 | |
| Dynamic Identity | 0.40 | |
| Multi-Agent Interactions | 0.60 | |
| Non-Determinism | 0.30 | |
| Opacity & Reflexivity | 0.40 |
Scored with the canonical OWASP AIVSS formula (AIVSS calculator reference); agentic risk factors estimated from the agent’s described capabilities.
MAESTRO 7-layer threat model
Per-layer threats for this agent. Layers tagged “not certain from listing” are general, caveated commentary where the public description didn’t pin that layer.
Not certain from the listing — The listing does not specify if LLMs are used to auto-generate the APIs or if it is template-driven. If LLMs are involved, they are vulnerable to prompt injection that could alter API generation logic.
Directly connects to major databases (PostgreSQL, ClickHouse, MySQL, Snowflake, BigQuery, Supabase). High risk of schema exposure, data exfiltration, and unauthorized data modification if the generated endpoints are compromised.
Exposes database tools to agents via MCP/MCP-SSE. Vulnerable to tool misuse where external agents invoke generated endpoints with malicious parameters or out-of-bounds queries.
Hosts REST, MCP, and MCP-SSE endpoints. Vulnerable to network-level attacks, denial of service, and unauthorized endpoint discovery if the hosting infrastructure is not properly secured.
Not certain from the listing — There is no mention of built-in logging, auditing, or guardrails to monitor agent interactions with the generated database APIs.
Endpoint access control is a highlighted attack surface. Without robust authentication and authorization mechanisms, sensitive database schemas and data are exposed to unauthorized clients.
Designed to integrate directly into agent ecosystems via MCP. A compromise in a connected agent could cascade, allowing it to abuse the gateway to query or destroy backend database records.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).