AI Model — agentic threat model
AI Model acts as a centralized hub for powerful generative AI models, presenting low agentic autonomy but high risk regarding the generation of deepfakes, voice cloning abuse, and potential exposure of downstream API credentials.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.40 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.20 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.80 | |
| Opacity & Reflexivity | 0.70 |
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.
The platform integrates multiple third-party foundation models (Sora, Veo, Flux, ElevenLabs). Primary threats include adversarial prompt injection to bypass safety filters, model output misalignment (generating harmful or copyrighted content), and potential model exploitation.
Not certain from the listing — The listing does not detail how user prompts, uploaded source images, or audio files for voice cloning are stored, cached, or processed. Threats include data exfiltration of sensitive user assets or voice cloning data.
Not certain from the listing — The orchestration layer routing prompts to various APIs is not detailed. Threats include insecure API integration, key exposure, and prompt injection bypassing system instructions.
Not certain from the listing — No infrastructure details are provided. Threats include exposure of API keys for downstream services (ElevenLabs, OpenAI, etc.) and potential container compromise if self-hosting open-source models.
Not certain from the listing — No mention of content moderation guardrails or output filtering. Threats include generation of deepfakes, CSAM, or copyrighted material due to lack of observability and guardrails.
Not certain from the listing — No compliance certifications (SOC2, GDPR) or identity management details are provided. Threats include unauthorized access to user accounts and lack of audit trails for generated media (provenance).
Not certain from the listing — No multi-agent or marketplace interactions are described. Threats are minimal here, but could involve downstream API service failures cascading to the platform.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).