ACI.dev — agentic threat model
ACI.dev acts as a high-value credential broker and tool gateway (600+ integrations), making its security posture critical; while it implements granular permissions and multi-tenant auth, a compromise could lead to widespread downstream credential theft and unauthorized tool execution.
OWASP AIVSS score rationale
| Autonomy of Action | 0.50 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 1.00 | |
| Persistent Memory | 0.30 | |
| Contextual Awareness | 0.40 | |
| Dynamic Identity | 0.90 | |
| Multi-Agent Interactions | 0.60 | |
| Non-Determinism | 0.30 | |
| Opacity & Reflexivity | 0.30 |
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 — ACI.dev acts as an MCP gateway and broker rather than hosting or defining the foundation models themselves.
Not certain from the listing — The description focuses on tool brokering and credential management rather than RAG, vector stores, or training data operations.
Highly relevant as an orchestration gateway. Brokering 600+ tool integrations introduces significant risks of tool misuse, injection attacks via tool parameters, and insecure tool execution if downstream APIs lack validation.
Critical layer because the platform stores and brokers OAuth tokens and API keys. Infrastructure compromise or container escape could expose centralized credentials for hundreds of downstream services.
Not certain from the listing — While it enforces permissions, the listing does not specify the depth of its logging, auditing, or real-time anomaly detection for tool calls.
The core of ACI.dev's design. It addresses identity and authorization directly through multi-tenant authentication and granular per-tool permission controls to mitigate unauthorized credential access.
Acts as a central hub in the agent ecosystem. A single compromised agent or malicious tool integration could trigger cascading authorization abuse across the entire connected multi-tenant network.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).