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Bolna — agentic threat model

8.6AIVSS 8.6 · High

Bolna is an open-source framework for voice-driven LLM agents, presenting unique risks around voice-based prompt injection (VUI) and unauthorized tool execution during real-time conversations. Its overall risk is highly dependent on the developer's deployment practices, as the listing does not specify built-in security guardrails.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 7.5AARS uplift 1.1Factor sum 4.4/10Threat ×1.0Mitigation ×1.0
Autonomy of Action
0.60
Goal-Driven Planning
0.40
Self-Modification
0.10
Dynamic Tool Use
0.50
Persistent Memory
0.40
Contextual Awareness
0.60
Dynamic Identity
0.20
Multi-Agent Interactions
0.30
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.

L1 · Foundation Models⚠ not certain from listing

Not certain from the listing — Bolna is a framework and does not specify a default foundation model, though it supports LLMs for voice agents. Threats depend on the chosen LLM (adversarial examples, misaligned outputs).

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — Bolna handles voice conversational data, but the specific vector stores or RAG data operations depend on the developer's implementation.

L3 · Agent Frameworks✓ mapped

As an orchestration framework for voice agents, Bolna manages voice-to-text, LLM orchestration, and text-to-speech. Primary threats include insecure tool integration, prompt injection via voice (VUI injection), and framework-level vulnerabilities.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — As an open-source framework, deployment (hosting, sandboxing, secrets management) is handled entirely by the deploying developer.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — The listing does not detail built-in evaluation, guardrails, or logging mechanisms for the voice agents.

L6 · Security & Compliance (cross-cutting)⚠ not certain from listing

Not certain from the listing — No specific compliance certifications (like SOC2) or built-in auth policies are mentioned in this brief directory listing.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — While it builds voice agents, there is no mention of a multi-agent marketplace or native A2A interaction protocols in the description.

MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).