Asyntai — agentic threat model
Asyntai is a customer support chat agent designed to autonomously interact with website visitors. Its primary security risks stem from its public-facing nature, making it highly susceptible to prompt injection, social engineering, and potential data exfiltration of its underlying business knowledge base.
OWASP AIVSS score rationale
| Autonomy of Action | 0.60 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.20 | |
| Persistent Memory | 0.30 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.60 | |
| 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 utilizes third-party commercial or open-source LLMs to handle multilingual customer queries. Primary threats include prompt injection, jailbreaking to bypass business alignment, and generating toxic or brand-damaging outputs.
Not certain from the listing — the agent 'learns about your business', implying a RAG pipeline or vector database containing proprietary business documents. Threats include knowledge-base poisoning and unauthorized data exfiltration of sensitive business data via crafted user prompts.
Not certain from the listing — likely uses a standard chat orchestration framework. Threats include session state hijacking, insecure handling of chat history, and prompt injection manipulating the agent's conversational boundaries.
Not certain from the listing — deployed via a JavaScript snippet on client websites. Threats include Cross-Site Scripting (XSS) if the widget is compromised, and standard container/host vulnerabilities on the hosting backend.
Not certain from the listing — no explicit mention of guardrails, input filtering, or conversation monitoring. This creates blind spots for detecting adversarial prompt injections or automated abuse of the chat widget.
Not certain from the listing — being open-source allows for self-hosting auditability, but there is no mention of compliance certifications (e.g., GDPR, SOC2) or access control mechanisms for the business data ingestion portal.
Not certain from the listing — operates primarily as a standalone customer support agent. Ecosystem risks are minimal unless integrated with external CRMs or ticketing systems, which could introduce cascading trust issues.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).