Telezen Template — agentic threat model

Not certain from the listing — The template relies on Vapi.ai's underlying LLM and TTS/STT models. Threats include prompt injection, model reprogramming, and adversarial inputs during voice calls, which could cause the agent to leak system instructions or behave inappropriately.

The template supports uploading a knowledge base to voice agents. Threats include knowledge-base poisoning (injecting malicious or false information) and unauthorized data exfiltration of sensitive documents uploaded by tenants.

Built on top of Vapi.ai API to orchestrate calls and handle tool execution. Threats include tool misuse (e.g., triggering unauthorized outbound calls, spamming contacts) and insecure handling of session state during live voice interactions.

As a Next.js template, it integrates with external APIs (Vapi.ai, Twilio, Vonage, Stripe). Threats include exposure of sensitive API keys/secrets in the application environment, insecure webhook endpoints, and potential server-side request forgery (SSRF).

Features include viewing logs, reading call transcripts, and listening to call recordings. Threats include unauthorized access to these highly sensitive logs/recordings, and a lack of automated guardrails to detect anomalous call behavior or toll fraud in real-time.

Designed as a SaaS template with Stripe billing and subscription tiers. The critical threat is broken tenant isolation, where one customer could access, modify, or delete another customer's voice agents, call logs, or billing details.

Not certain from the listing — The template focuses on individual voice agents interacting with human contacts. There is no explicit mention of multi-agent collaboration, agent marketplaces, or complex agent-to-agent trust boundaries.