Sixeye Voice Ai Agent — agentic threat model

Not certain from the listing — The underlying foundation models for voice synthesis and LLM processing are not specified. However, they are inherently vulnerable to voice-based prompt injection (jailbreaking via audio) and adversarial inputs designed to bypass safety guardrails.

The agent utilizes a customer-provided knowledge base for RAG. This introduces risks of knowledge-base poisoning, where malicious or inaccurate data injected into the knowledge base could lead the agent to output harmful or incorrect instructions to callers.

The agent supports custom functions and integrations to book meetings and update CRMs. Insecure tool integration or lack of strict input validation on these functions could allow an attacker to manipulate CRM records or exhaust calendar resources via conversational manipulation.

Features SIP Integration for low-latency voice calls. This exposes the deployment layer to telephony-specific threats, including SIP registration hijacking, toll fraud, and denial-of-service attacks targeting the voice gateway.

The listing highlights 'useful analytics to improve service' but does not detail real-time security monitoring, guardrails, or anomaly detection for malicious voice interactions, leaving potential blind spots in threat detection.

Not certain from the listing — There is no mention of compliance standards (e.g., SOC 2, HIPAA, GDPR), identity and access management (IAM) controls for CRM updates, or authentication mechanisms for SIP trunking.

Not certain from the listing — The agent appears to operate as a standalone horizontal solution without explicit multi-agent orchestration or marketplace dependencies, minimizing ecosystem-specific cascading risks.