AGM: AI Game Maker — agentic threat model

Not certain from the listing — likely utilizes standard LLMs and text-to-image models. Primary threats include prompt injection leading to the generation of malicious code, bypass of safety filters, or generation of copyright-infringing assets.

Not certain from the listing — likely relies on pre-defined game templates and asset libraries. Vulnerable to template poisoning or supply chain contamination of the base assets used for game generation.

Not certain from the listing — orchestrates step-by-step game building and feature addition. Vulnerable to insecure tool integration if the code generation engine lacks strict boundaries, potentially allowing the agent to write arbitrary files during the build process.

Not certain from the listing — requires hosting for both the creator tool and the generated games. If the 'test frequently' feature runs generated code on the server side without robust sandboxing, it poses a severe risk of remote code execution (RCE) and container escape.

Not certain from the listing — requires automated guardrails to detect and block the generation of malicious scripts, exploits, or highly offensive content within user-created games before they are published.

Not certain from the listing — requires robust identity verification and content moderation policies to comply with digital safety regulations, especially since the platform targets game creation which often attracts younger audiences.

The platform features a shared ecosystem ('share your creations, Explore AI games'). This creates a significant threat of a watering-hole attack, where malicious actors publish compromised or exploit-carrying games to target other users exploring the marketplace.