Aipose — agentic threat model

Uses advanced generative models for video, image, and avatar creation. Key threats include adversarial prompt injection to bypass safety filters, generation of deepfakes/NSFW content, and potential model-stealing attacks via the public API.

Not certain from the listing — The agent processes user-uploaded images for style transformation and avatar creation. This introduces risks of data exfiltration of private user photos, lack of data lineage for training styles, and potential privacy violations if biometric data is retained.

Not certain from the listing — Orchestration is likely limited to simple pipeline execution for media generation rather than complex agentic planning. Risks include insecure parameter handling in the API and tool misuse if generation parameters can be manipulated.

Not certain from the listing — Requires high-performance GPU infrastructure for fast video and image generation. Primary threats include GPU resource exhaustion (DoS) attacks and unauthorized API access leading to financial/compute theft.

Not certain from the listing — Requires robust content moderation guardrails to detect and block attempts to generate harmful, copyrighted, or non-consensual deepfake content.

Not certain from the listing — Compliance with GDPR, CCPA, and emerging AI regulations (like the EU AI Act) is critical due to the processing of user faces for avatar and outfit customization, requiring strict data deletion and consent policies.

Not certain from the listing — No multi-agent or marketplace interactions are described, though the API allows integration into third-party applications, which could inherit downstream trust and authentication vulnerabilities.