Synthesia — agentic threat model
Synthesia is a low-autonomy generative AI video platform with minimal agentic risk, where the primary security concerns center on content moderation bypass (deepfakes/misinformation) and unauthorized access to enterprise brand assets.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.00 | |
| 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 | 0.30 | |
| Opacity & Reflexivity | 0.30 |
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 uses proprietary text-to-video and text-to-speech foundation models. Primary threats include adversarial prompt injection to bypass safety filters (generating unauthorized deepfakes or harmful content) and model stealing.
Not certain from the listing — relies on training data for avatars, voices, and user-uploaded brand assets. Threats include data poisoning of custom avatars/voices and exfiltration of proprietary scripts or corporate media assets.
Not certain from the listing — operates as a structured generation pipeline rather than an autonomous agent framework. Threats include insecure orchestration of the video rendering pipeline and prompt injection manipulating the output generation parameters.
Not certain from the listing — hosted as a browser-based SaaS platform. Threats include infrastructure compromise of rendering servers, API abuse, and unauthorized access to video generation endpoints.
Not certain from the listing — requires robust guardrails to prevent the generation of deepfakes of real people without consent. Threats include bypass of content moderation filters (evaluation gaming) and insufficient logging of generated content.
Not certain from the listing — trusted by Fortune 500 companies, implying enterprise-grade access controls and compliance, but specific certifications are not listed. Threats include unauthorized account access leading to brand impersonation via custom avatars.
Not certain from the listing — no multi-agent or marketplace interactions are described. Threats are minimal at this layer, primarily limited to downstream abuse of generated videos in social engineering attacks.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).