Trusted MCP Server (Freysa) — agentic threat model
The Trusted MCP Server (Freysa) exhibits a very low agentic risk posture because it functions as a security control rather than an autonomous decision-making agent. By utilizing Trusted Execution Environments (TEEs) and cryptographic attestations, it provides high-assurance integrity for agent-to-tool interactions.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.00 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.20 | |
| Persistent Memory | 0.00 | |
| Contextual Awareness | 0.10 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.30 | |
| Non-Determinism | 0.10 | |
| Opacity & Reflexivity | 0.10 |
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 server acts as an execution environment for tools rather than hosting a foundation model directly. If a model is used, standard LLM threats like prompt injection would still affect the client agent, though the execution integrity of the tool itself remains protected.
Not certain from the listing — No specific database or RAG operations are described. Any transient data processed within the TEE is protected from host-level exfiltration, but data provenance depends on the external client.
Protects the tool execution phase of agent frameworks. While it prevents tampering with tool outputs, it cannot prevent an agent from misusing a tool or passing malicious inputs to the MCP server in the first place.
Extremely robust infrastructure security. Running inside a TEE with remote attestation mitigates host compromise, privilege escalation, and unauthorized modification of the server code, though it remains susceptible to hardware-level side-channel attacks or denial-of-service.
Not certain from the listing — While cryptographic signatures provide tamper-evident audit logs of tool outputs, the listing does not specify internal monitoring, drift detection, or real-time guardrails.
Strongly aligned with security and compliance requirements. Cryptographic signatures and remote attestation provide verifiable proof of integrity and non-repudiation, supporting strict auditability and zero-trust architecture.
Directly addresses ecosystem-level trust issues. By providing verifiable, tamper-evident responses, it prevents rogue or compromised agents from spoofing tool outputs and causing cascading failures in multi-agent workflows.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).