Nelima — agentic threat model
Nelima's open-source, community-driven action model presents a high supply-chain risk, where malicious or poorly vetted custom workflows could execute unauthorized actions or exfiltrate sensitive user data.
OWASP AIVSS score rationale
| Autonomy of Action | 0.70 | |
| Goal-Driven Planning | 0.60 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.80 | |
| Persistent Memory | 0.30 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.20 | |
| Non-Determinism | 0.50 | |
| 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 — No details are provided regarding the underlying foundation models used by Nelima, leaving threats like model reprogramming or adversarial prompt injection unaddressed in the documentation.
Not certain from the listing — The data operations, vector storage, and RAG mechanisms (if any) are unspecified, meaning data poisoning and exfiltration risks cannot be confidently evaluated.
Nelima's core value proposition is custom action integration and workflow automation. The framework is highly vulnerable to insecure tool integration and tool misuse, especially since actions are community-driven and can be chained into complex workflows.
Not certain from the listing — The deployment infrastructure, sandboxing of custom actions, and secrets management are not detailed, leaving potential host compromise and privilege escalation risks unclear.
Not certain from the listing — There is no mention of built-in evaluation, logging, or guardrails to monitor the execution of community-contributed actions or detect anomalous behavior.
Not certain from the listing — The listing does not specify identity, authorization, or policy controls governing which users can execute or integrate specific custom actions.
The community-driven action ecosystem introduces significant supply chain risks. Malicious or compromised community-contributed actions could lead to cascading failures or unauthorized data access within layered workflows.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).