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Fluents — agentic threat model

9.3AIVSS 9.3 · Critical

Fluents presents a high agentic risk profile due to its direct integration with communication channels (voice, SMS, email) and its ability to autonomously execute actions like booking, routing, and user authentication. A compromise could lead to toll fraud, automated phishing campaigns, or unauthorized access to customer data.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 8.5AARS uplift 0.8Factor sum 5.1/10Threat ×1.05Mitigation ×1.0
Autonomy of Action
0.80
Goal-Driven Planning
0.60
Self-Modification
0.10
Dynamic Tool Use
0.80
Persistent Memory
0.50
Contextual Awareness
0.60
Dynamic Identity
0.20
Multi-Agent Interactions
0.20
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 — the specific LLMs or voice synthesis models used are not disclosed. Potential threats include adversarial voice inputs (voice injection), prompt injection via SMS/email, and model reprogramming to bypass safety guardrails.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — details on vector stores, RAG, or training data are absent. However, because the agent handles 'booking' and 'authenticating', it likely interfaces with customer databases or CRMs, raising risks of data exfiltration of customer PII.

L3 · Agent Frameworks✓ mapped

The agent orchestrates complex workflows including booking, qualifying, authenticating, routing, and follow-ups across voice, SMS, and email. Threats include tool misuse (e.g., unauthorized bookings, routing calls to malicious numbers) and insecure tool integration with telephony/email APIs.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — hosting, sandboxing, and secrets management for telephony/email APIs are not described. Threats include exposure of API keys for Twilio or other telephony providers, leading to unauthorized usage or toll fraud.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — no mention of logging, guardrails, or evaluation frameworks. Threats include blind spots in voice conversation monitoring or lack of detection for prompt injection attacks over voice/SMS.

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

Not certain from the listing — the listing mentions 'authenticating' users, but details on compliance (e.g., SOC2, HIPAA for voice data, PCI-DSS for bookings) are not provided. Threats include unauthorized access due to weak authentication mechanisms.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — the platform brings together modular features (Outbound Dialer, AI Sales Assistant, AI Receptionist, Web Agent) in a single stack, but there is no explicit mention of multi-agent coordination or external marketplaces.

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