AI Ghibli Video — agentic threat model

Uses image-to-video foundation models to apply Ghibli-style filters. Primary threats include adversarial inputs designed to bypass safety filters, model reprogramming, and potential copyright/IP infringement from generating derivative works.

Processes user-uploaded images as input data. Key threats include data exfiltration of private user photos and potential data poisoning if uploaded images are harvested to fine-tune future iterations of the model.

Not certain from the listing — likely uses a simple, linear execution pipeline rather than a complex agentic framework. If a framework is present, threats would be limited to basic input validation failures rather than tool misuse or memory poisoning.

Not certain from the listing — hosting details are unspecified, though GPU-intensive video generation is likely cloud-hosted or run locally as open-source. Threats include GPU resource exhaustion (DoS) and container escape if hosted insecurely.

Not certain from the listing — there is no mention of input/output content moderation, guardrails, or logging. The lack of visible observability tools increases the risk of undetected generation of harmful or copyrighted content.

Not certain from the listing — no compliance certifications, user authentication, or data privacy policies are detailed. Compliance risks include alignment with the EU AI Act regarding synthetic media watermarking and user data protection.

Not certain from the listing — the agent operates as a standalone utility with no indicated multi-agent coordination, marketplace integrations, or external ecosystem dependencies.