Couple Goals AI — agentic threat model
Couple Goals AI is a low-risk, single-purpose image generation tool with minimal agentic capabilities. Its primary security and privacy risks center around the handling, processing, and potential exposure of user-uploaded personal photos.
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 | 0.00 | |
| Contextual Awareness | 0.10 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.40 | |
| 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 utilizes latent diffusion or face-swapping foundation models. Threats include adversarial inputs designed to bypass safety filters, model reprogramming, or generating mis-aligned/offensive outputs.
Not certain from the listing — requires ingestion and temporary storage of user-uploaded face photos. Key threats include data exfiltration of private user imagery, lack of secure data deletion policies, and potential data leakage during processing.
Not certain from the listing — likely uses a simple deterministic pipeline rather than a complex agentic framework. Vulnerabilities could include insecure file upload handling, path traversal, or parameter injection via template selection.
Not certain from the listing — hosted as a closed-source web application. Threats include insecure cloud storage buckets (e.g., S3) exposing uploaded or generated images, and lack of sandboxing for image processing libraries.
Not certain from the listing — no mention of content moderation or output guardrails. Gaps in observability could allow users to generate non-consensual deepfakes or bypass standard safety filters without detection.
Not certain from the listing — no compliance certifications (such as GDPR or SOC2) are mentioned. Processing biometric-like data (user faces) raises significant privacy compliance risks if consent and data deletion mechanisms are not strictly enforced.
This is a standalone vertical application with no multi-agent or marketplace interactions, meaning ecosystem threats are currently non-existent.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).