Kokoro TTS — agentic threat model

The model is a 182M parameter TTS model. Primary threats include adversarial text inputs designed to exploit synthesis quirks, model stealing (though it is open-source), and the generation of highly realistic voice clones for social engineering.

Not certain from the listing — The training data and voice datasets used to train the 182M parameter model are not detailed. Potential risks include intellectual property/licensing violations of the training voices and data poisoning during the model's creation.

Not certain from the listing — Kokoro TTS functions as a model utility rather than an agent framework. It features 'OpenAI compatibility' (likely an API wrapper), but lacks autonomous planning, memory, or tool-calling capabilities that could be exploited.

Not certain from the listing — The tool utilizes NVIDIA GPU acceleration for real-time generation. Security risks depend heavily on the deployment environment, including potential GPU container escape, dependency vulnerabilities in the open-source stack, and unauthorized API access.

Not certain from the listing — There are no mentioned guardrails, content filtering, or logging mechanisms to detect or block the synthesis of abusive, harassing, or fraudulent audio content.

Not certain from the listing — No built-in authentication, authorization, or compliance frameworks are described. Organizations deploying this tool must wrap it in their own security controls to meet regulatory standards like the EU AI Act regarding synthetic media.

Not certain from the listing — While it does not natively participate in a multi-agent ecosystem, it can be integrated as a tool by other autonomous agents, potentially enabling rogue agents to generate deceptive voice outputs dynamically.