April — agentic threat model
April possesses a high risk profile due to its direct integration with sensitive communication and scheduling channels (email and calendar) via voice, making it highly susceptible to indirect prompt injection and unauthorized actions if compromised.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.60 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.80 | |
| Persistent Memory | 0.60 | |
| Contextual Awareness | 0.70 | |
| Dynamic Identity | 0.70 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.60 | |
| Opacity & Reflexivity | 0.70 |
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 LLMs and speech-to-text models. Highly vulnerable to indirect prompt injection via incoming emails, which could reprogram the model to exfiltrate data or send unauthorized messages.
Not certain from the listing — requires ingestion of email bodies and calendar metadata. Threats include data exfiltration of sensitive PII and corporate secrets stored in the user's mailbox.
Not certain from the listing — orchestrates actions using email and calendar APIs. Insecure tool integration could allow an attacker to trigger unintended actions (e.g., deleting calendar events or sending spam) via malicious email content.
Not certain from the listing — likely cloud-hosted with OAuth integrations. Compromise of the hosting infrastructure could expose highly sensitive OAuth tokens for Google Workspace or Microsoft 365.
Not certain from the listing — no observability or guardrail mechanisms are detailed. A lack of monitoring could allow silent data exfiltration or unauthorized scheduling changes to go unnoticed.
Not certain from the listing — requires strict compliance with data privacy regulations (GDPR/CCPA) due to handling personal communications. Lack of explicit security certifications increases compliance risk.
Not certain from the listing — primarily interacts with APIs rather than other agents, but could be targeted by malicious automated calendar invites or email-based agent attacks.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).