Voe Ai — agentic threat model

Powered by the Veo 3.1 foundation model. Primary threats include adversarial prompt injections designed to bypass safety filters to generate deepfakes, misinformation, or copyrighted content, as well as model evasion/reprogramming.

Not certain from the listing — The agent processes user-provided text prompts, reference images, and keyframes. Threats include data exfiltration of proprietary creative assets and potential data poisoning if user uploads are used for downstream fine-tuning or style locking.

Not certain from the listing — Orchestration involves prompt adherence, style locking, and multi-layer audio synchronization. Threats include insecure handling of state during shot extension/remixing and parameter manipulation in the API.

Not certain from the listing — Video rendering is computationally intensive. Threats include GPU resource exhaustion (denial of service) attacks via complex rendering requests and insecure API endpoints exposing the underlying generation pipeline.

Not certain from the listing — Requires robust automated content moderation to detect and block harmful video generation. Threats include evaluation gaming where users subtly alter prompts to bypass visual safety guardrails.

Not certain from the listing — As a paid API, it requires strong authentication, rate limiting, and billing controls. Compliance threats include intellectual property disputes over generated training data and alignment with emerging synthetic media regulations.

Not certain from the listing — If integrated into larger automated marketing or content pipelines, threats include downstream abuse where malicious agents autonomously call this API to generate mass disinformation campaigns.