Agience — agentic threat model
Agience is an open-source, highly integrative agent framework connecting devices and data, presenting elevated risks of unauthorized tool execution and distributed infrastructure compromise if not properly sandboxed.
OWASP AIVSS score rationale
| Autonomy of Action | 0.70 | |
| Goal-Driven Planning | 0.50 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.80 | |
| Persistent Memory | 0.30 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.40 | |
| Non-Determinism | 0.60 | |
| Opacity & Reflexivity | 0.50 |
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 — Agience is a framework and does not specify its default foundation models, leaving it vulnerable to standard LLM risks like prompt injection or misaligned outputs depending on the user's choice of model.
Focuses on distributed compute systems for data residency control. Threats include data exfiltration across distributed nodes, data poisoning, and lack of centralized data lineage.
Provides pre-built plugins and functions for intelligent capabilities. Threats include insecure tool integration, malicious plugin execution, and framework-level vulnerabilities allowing arbitrary code execution.
Utilizes distributed compute systems to connect devices and systems. Threats include node compromise, lateral movement between distributed environments, and insecure communication channels between devices.
Not certain from the listing — No explicit mention of built-in evaluation, logging, or guardrails, which could lead to observability blind spots during execution.
Licensed under AGPL-3.0 for transparency and openness, with data residency controls. Threats include compliance risks with AGPL-3.0 copyleft requirements and authorization gaps across distributed nodes.
Not certain from the listing — While it connects systems and devices, it is unclear if it supports multi-agent coordination or a shared marketplace, risking cascading failures if integrated blindly.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).