Respell AI — agentic threat model
Respell AI acts as a powerful orchestrator integrating multiple AI models and external applications, presenting a high risk of automated tool misuse and unauthorized bulk action execution if workflows are compromised.
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 | 0.20 | |
| Multi-Agent Interactions | 0.20 | |
| 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.
Integrates with multiple third-party AI models, exposing the platform to upstream model vulnerabilities, prompt injection, and adversarial manipulation that could alter workflow logic.
Not certain from the listing — no details are provided regarding how data is stored, whether RAG or vector databases are utilized, or how data lineage and privacy are maintained during workflow execution.
The core orchestration framework manages 'spells' (workflows) and tool execution. Vulnerabilities here include insecure tool integration, parameter tampering, and unauthorized bulk action execution.
Not certain from the listing — details regarding hosting infrastructure, sandboxing of executed workflows, and secure storage of third-party API credentials are not disclosed.
Not certain from the listing — there is no mention of built-in guardrails, execution logging, drift detection, or monitoring tools to audit automated workflow runs.
Not certain from the listing — compliance certifications (such as SOC2), identity and access management policies, and enterprise governance controls are not specified.
Not certain from the listing — while it integrates with multiple applications, it is unclear if the platform supports autonomous multi-agent collaboration or a shared marketplace of untrusted user-generated spells.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).