User Intuition — agentic threat model
User Intuition presents a moderate-to-high risk profile due to its handling of sensitive customer voice and video data, automated recruitment outreach, and dynamic conversational moderation, which could be exploited for data exfiltration or social engineering if compromised.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.70 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.50 | |
| Persistent Memory | 0.60 | |
| Contextual Awareness | 0.80 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.20 | |
| 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 — The specific LLMs or multimodal models used for voice/video synthesis, speech-to-text, and conversational moderation are not disclosed. Risks include prompt injection during live interviews and model bias in qualitative analysis.
Not certain from the listing — The storage and processing architecture for sensitive video, audio, and transcript data is unspecified. High risk of data exfiltration or unauthorized access to customer PII and proprietary business feedback.
Not certain from the listing — The orchestration framework managing the recruitment-to-analysis pipeline is unknown. Vulnerabilities could lead to tool misuse (e.g., spamming recruitment emails) or state manipulation during live interviews.
Not certain from the listing — Hosting details for the real-time voice/video processing and web platform are not provided. Infrastructure must be secured against container escape and unauthorized access to media streaming servers.
Not certain from the listing — There is no mention of real-time guardrails or monitoring systems to detect and interrupt inappropriate AI behavior, drift, or adversarial manipulation during live customer interactions.
Not certain from the listing — No security certifications (e.g., SOC2, ISO 27001) or compliance frameworks (e.g., GDPR, CCPA for voice/video consent) are specified, which are critical given the collection of biometric and personal data.
Not certain from the listing — The extent of integration with external CRM platforms, email/SMS gateways, and scheduling tools is not detailed. Compromise could lead to cascading trust issues across connected customer success ecosystems.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.