Sisif — agentic threat model
Sisif is a text-to-video generation service with low agentic autonomy but high potential for misuse in generating deepfakes or misinformation if safety guardrails are bypassed.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| 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.
Not certain from the listing — likely utilizes proprietary or open-source text-to-video diffusion models. Primary threats include adversarial prompt injection to bypass safety filters, model stealing via API harvesting, and generation of deepfakes or harmful content.
Not certain from the listing — relies on large-scale video-text datasets for model training. Threats include copyright infringement, data poisoning of training sets, and potential leakage of proprietary user prompt data.
Not certain from the listing — Sisif appears to operate as a direct generative pipeline rather than a complex agentic framework. Threats are limited to insecure API input validation and prompt injection leading to unexpected model behaviors.
Not certain from the listing — likely hosted on GPU-enabled cloud infrastructure with API endpoints. Threats include API abuse, denial of service (resource exhaustion from heavy video rendering), and insecure container configurations.
Not certain from the listing — requires automated content moderation guardrails to detect and block NSFW, deepfake, or copyrighted generations. Gaps here lead to brand damage and legal liabilities.
Not certain from the listing — needs robust user authentication, API rate limiting, and compliance with emerging AI regulations (like the EU AI Act regarding deepfakes and watermarking).
Not certain from the listing — operates primarily as a standalone vertical tool or API. Threats are limited to downstream integration risks where other agents call this API to generate malicious media.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).