Grimly AI — agentic threat model
Grimly AI is a security-focused guardrail and logging library with low agentic risk, primarily acting as an inline defensive control rather than an active autonomous agent.
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 | 0.30 | |
| Contextual Awareness | 0.40 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.20 | |
| Opacity & Reflexivity | 0.20 |
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 — Grimly AI acts as a protection layer, but it is unclear if it leverages its own foundation models or lightweight classifiers to detect prompt injections.
Not certain from the listing — The tool performs 'full prompt logging' which involves handling sensitive input/output data, but details regarding vector stores or training data operations are not specified.
Not certain from the listing — While it integrates into AI application frameworks as a tool library, its own internal orchestration and framework dependencies are not detailed.
Not certain from the listing — It is open source and can be self-hosted or integrated, but specific deployment sandboxing or infrastructure requirements are not provided.
Grimly AI is explicitly an observability and guardrail tool providing real-time detection, rule-based controls, and full prompt logging. Key threats include bypasses of its detection rules, log tampering, or blind spots in its parser.
Designed specifically for security and compliance ('stay compliant'). Threats include misconfiguration of rule-based controls or unauthorized access to the logged prompt data, which may contain PII.
Not certain from the listing — There is no mention of multi-agent coordination or marketplace interactions within Grimly AI itself, though it protects applications that may have them.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.