Voe 4 — agentic threat model
Voe 4 is a low-risk, single-purpose AI video generator with minimal agentic capabilities, posing risks primarily related to model misalignment (e.g., generating harmful or copyrighted content) and data privacy of user uploads rather than autonomous system compromise.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.10 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.20 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.70 | |
| Opacity & Reflexivity | 0.80 |
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.
Uses the proprietary Voe 4.0 model for high-fidelity video generation. Primary threats include adversarial prompt injection to bypass safety filters, model stealing, and the generation of misaligned, harmful, or copyright-infringing video outputs.
Not certain from the listing — likely processes user-provided text prompts and potentially reference images. Threats include data exfiltration of user assets, lack of data lineage, and potential poisoning if user inputs are recycled for model fine-tuning.
Not certain from the listing — operates primarily as a simple pipeline (prompt to video generation) rather than a complex agentic framework. Threats are limited to prompt manipulation and basic input validation failures.
Not certain from the listing — hosted as an online web service. Threats include GPU resource exhaustion (denial of service) during heavy video rendering, and standard web application vulnerabilities (e.g., insecure file uploads if images are accepted).
Not certain from the listing — no explicit mention of output monitoring or content moderation guardrails. Threats include blind spots in detecting deepfakes, NSFW content, or policy-violating video generations.
Not certain from the listing — closed-source, paid service. Threats include lack of transparent compliance with emerging AI regulations (like the EU AI Act regarding synthetic media watermarking) and potential data privacy policy gaps.
Not certain from the listing — operates as a standalone vertical tool with no described multi-agent or marketplace ecosystem. Ecosystem threats are currently negligible.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).