InboundCollie — agentic threat model
InboundCollie presents a moderate-to-high risk profile due to its autonomous public-facing capabilities, specifically 24/7 voice telephony and automated landing page generation, which could be exploited for vishing, social engineering, or PII exfiltration if compromised.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.50 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.60 | |
| Persistent Memory | 0.70 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.70 | |
| Opacity & Reflexivity | 0.50 |
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 — likely relies on third-party LLMs and TTS/STT APIs. Key threats include voice-based prompt injection (jailbreaking via phone) and model output misalignment during live customer interactions.
Not certain from the listing — stores customer PII, call transcripts, and qualification scores. Main threats include unauthorized database access, lack of encryption for voice recordings, and potential data leakage via the dashboard.
Not certain from the listing — orchestrates telephony, landing page generation, and follow-up actions. Vulnerable to insecure tool integration where an attacker manipulates the agent into sending unauthorized SMS/emails or modifying landing page content.
Not certain from the listing — likely hosted on cloud infrastructure with telephony API integrations. Threats include insecure dashboard endpoints, exposed API keys for telephony services, and lack of isolation between tenant data.
The platform provides a dashboard with call transcripts and qualification scores for user review. However, it lacks visible automated guardrails to detect and block adversarial prompt injections or toxic outputs in real-time during live calls.
Not certain from the listing — handling voice recordings and PII introduces strict compliance requirements (GDPR, CCPA, TCPA). There is no mention of role-based access control (RBAC), data retention policies, or security certifications.
Not certain from the listing — operates primarily as a standalone vertical solution. Ecosystem risks are low unless it integrates with external CRMs, which could introduce cascading data synchronization vulnerabilities.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).