byVoice — agentic threat model
byVoice presents a moderate-to-high risk profile due to its active telephony capabilities (parallel dialing, outbound calling), which could be abused for automated vishing or toll fraud if the underlying LLM or knowledge base is compromised.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.60 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.50 | |
| Persistent Memory | 0.40 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.70 | |
| Opacity & Reflexivity | 0.60 |
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 — The specific LLMs or speech-to-text/text-to-speech models used by byVoice are not disclosed. Standard threats include adversarial voice inputs, prompt injection via voice, and model reprogramming.
The platform utilizes a 'Knowledge base' to handle inbound inquiries. Threats include knowledge-base poisoning (injecting malicious info to misdirect customers) and data exfiltration of sensitive customer interactions stored within the system.
Orchestrates call flows, 'Appointment booking', and 'Parallel dialer' tools. Threats include tool misuse (e.g., dialing unauthorized numbers, booking spam appointments) and insecure tool integration with external calendars or CRMs.
Not certain from the listing — The hosting environment, sandboxing of the execution environment, and secrets management for telephony APIs are not detailed. Standard threats include SIP/telephony infrastructure compromise and API key exposure.
Features a 'Real-time dashboard' for monitoring. However, threats include blind spots in detecting prompt injection over voice, conversational drift during live calls, and insufficient logging of raw audio for security audits.
Mentions 'GDPR compliance', indicating data privacy controls are in place. However, specific authentication, authorization, and audit logging mechanisms for managing the voice agents are not fully detailed.
Not certain from the listing — There is no mention of multi-agent interactions or a marketplace. Standard threats would involve cascading failures if integrated with external CRM or calendar ecosystems.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).