Tailo — agentic threat model
Tailo presents a moderate risk profile primarily centered on conversational manipulation and PII exposure (visitor profiles and emails). Its dynamic adaptation and voice capabilities increase non-determinism, but its lack of deep system-level execution tools limits the potential for severe operational damage.
OWASP AIVSS score rationale
| Autonomy of Action | 0.60 | |
| Goal-Driven Planning | 0.40 | |
| Self-Modification | 0.30 | |
| Dynamic Tool Use | 0.40 | |
| Persistent Memory | 0.70 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.10 | |
| 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 underlying LLM or voice synthesis models are not specified. Threats include prompt injection via voice/text inputs to manipulate the demo delivery, or adversarial inputs designed to bypass onboarding guardrails.
Tailo collects emails and learns visitor profiles to personalize interactions. Threats include unauthorized exfiltration of these profiles, data poisoning of the visitor profile database to skew recommendations, and lack of clear data retention policies for collected PII.
Not certain from the listing — The orchestration framework is unspecified. Threats involve manipulation of the conversational state machine to force the agent to deliver unauthorized media, bypass email collection steps, or execute unintended API calls.
Not certain from the listing — Hosting and infrastructure details are omitted. As a voice-enabled API, threats include denial-of-service (DoS) on voice processing endpoints, API key exposure, and insecure hosting of media assets (slides/videos).
Not certain from the listing — No observability or guardrail mechanisms are mentioned. The lack of real-time monitoring for voice outputs could allow the agent to hallucinate or output inappropriate content during live customer interactions without detection.
Not certain from the listing — Compliance controls (such as GDPR/CCPA for email and profile collection) are not detailed. Threats include regulatory non-compliance due to insufficient user consent mechanisms during automated data harvesting.
Not certain from the listing — While 'real-time collaboration' is mentioned, it is unclear if this involves multi-agent orchestration. If so, threats include cascading trust failures where compromised collaborator agents manipulate Tailo's profile learning mechanism.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).