AgentBase PRO — agentic threat model
AgentBase PRO poses moderate-to-high risk due to its ingestion of proprietary business knowledge via 'Employee Legacy Capture' and deployment of web/voice agents, which could be exploited for data exfiltration or unauthorized actions if not properly sandboxed.
OWASP AIVSS score rationale
| Autonomy of Action | 0.60 | |
| Goal-Driven Planning | 0.50 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.60 | |
| Persistent Memory | 0.50 | |
| Contextual Awareness | 0.70 | |
| Dynamic Identity | 0.40 | |
| Multi-Agent Interactions | 0.60 | |
| Non-Determinism | 0.70 | |
| Opacity & Reflexivity | 0.80 |
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 foundation models for voice and web agents are unspecified, leaving risks of adversarial reprogramming or model-specific vulnerabilities unquantified.
Utilizes 'Privately Hosted Data' and 'Employee Legacy Capture™' to ingest proprietary business knowledge. This introduces risks of sensitive data exfiltration, knowledge-base poisoning, or unauthorized access to legacy IP if access controls are weak.
Not certain from the listing — the orchestration framework for these 'Web & Voice Agents' is not detailed, making it unclear how tool calling, memory poisoning, or prompt injection are mitigated.
Not certain from the listing — while 'Privately Hosted Data' is advertised, the exact deployment infrastructure, sandboxing of web agents, and network isolation are unspecified.
Not certain from the listing — there is no mention of built-in evaluation, logging, or real-time guardrails for voice and web interactions.
Not certain from the listing — compliance certifications (e.g., SOC2, GDPR) or identity/authorization controls are not detailed, despite the focus on private hosting.
Supports 'Unlimited Web & Voice Agents', suggesting a multi-agent ecosystem or deployment of multiple concurrent agents. This increases the risk of cascading failures or unauthorized agent-to-agent interactions if not properly isolated.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).