MAGI-1 — agentic threat model
MAGI-1 is a text-to-video generation agent with low operational autonomy but high non-determinism and opacity. Its primary security risks stem from model abuse (e.g., generating deepfakes or harmful content) and GPU resource exhaustion rather than systemic agentic propagation.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.10 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.30 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.80 | |
| 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.
The core foundation model is a text-to-video generator. Key threats include adversarial prompt injection to bypass safety filters, model reprogramming, and potential model stealing of proprietary streaming extensions.
Not certain from the listing — The data operations layer likely involves massive video-text datasets. Threats include training data poisoning, copyright/provenance gaps, and lack of licensing clarity for the video generation corpus.
Not certain from the listing — The agent framework orchestrates streaming and video length extension. Vulnerabilities could exist in the state management of the streaming pipeline or insecure integration of video rendering tools.
Not certain from the listing — Video generation requires heavy GPU infrastructure. Primary threats include denial of service (DoS) via resource exhaustion, container escape on hosted GPU instances, and unauthorized API access.
Not certain from the listing — There is no mention of output guardrails or observability. This creates blind spots for detecting the generation of synthetic misinformation, NSFW content, or copyrighted material.
Not certain from the listing — No security compliance or access controls are specified. The agent faces regulatory risks under frameworks like the EU AI Act regarding the transparency and labeling of synthetic media (deepfakes).
Not certain from the listing — No multi-agent ecosystem is described. If integrated into larger automated content creation pipelines, compromised video outputs could cause cascading trust failures in downstream publishing systems.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).