Invideo AI — agentic threat model
Invideo AI is a vertical generative AI agent focused on text-to-video synthesis, presenting low agentic risk due to its sandboxed output format (media files) and lack of external system execution capabilities, though it remains susceptible to prompt injection and content moderation bypasses.
OWASP AIVSS score rationale
| Autonomy of Action | 0.30 | |
| Goal-Driven Planning | 0.40 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.20 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.30 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| 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.
Uses foundation LLMs and multimodal models to interpret prompts, write scripts, and generate video/audio. Vulnerable to prompt injection leading to generation of inappropriate content or bypass of safety filters.
Not certain from the listing — likely utilizes stock media databases and user-uploaded assets (images/text). Risks include data poisoning of stock assets or exfiltration of user-uploaded proprietary media.
Not certain from the listing — orchestrates script writing, voice synthesis, and media search. Vulnerabilities could include insecure tool integration between the orchestration layer and media rendering engines.
Not certain from the listing — likely hosted on cloud infrastructure with GPU rendering capabilities. Risks include container escape during heavy video processing or unauthorized access to rendering APIs.
Not certain from the listing — requires robust input/output guardrails to prevent deepfakes, copyright infringement, and NSFW content generation, but specific observability tools are not detailed.
Not certain from the listing — operates as a paid, closed-source SaaS. Standard web authentication and access controls are assumed, but compliance certifications (e.g., SOC2, GDPR) are not specified.
Operates as a standalone vertical application with no indicated multi-agent orchestration or marketplace integrations, minimizing ecosystem-level cascading risks.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).