Apollo — agentic threat model
Apollo presents a high-risk profile due to its background activity-tracking capabilities and direct integration with corporate billing systems, which could lead to sensitive data exposure or financial fraud if compromised.
OWASP AIVSS score rationale
| Autonomy of Action | 0.60 | |
| Goal-Driven Planning | 0.30 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.40 | |
| Persistent Memory | 0.50 | |
| Contextual Awareness | 0.70 | |
| Dynamic Identity | 0.30 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.40 | |
| 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 commercial LLMs to generate compliant narratives. Threats include prompt injection that could manipulate billing descriptions or leak sensitive background activity data.
Not certain from the listing — requires continuous ingestion of background activity data (e.g., active windows, calendar events). Threats include data exfiltration of highly sensitive corporate/client data and poisoning of client/matter mapping databases.
Not certain from the listing — orchestrates background activity capture, narrative generation, and dispatching. Threats include insecure tool integration with local OS tracking APIs and downstream billing systems.
Not certain from the listing — likely deploys as a local background daemon or cloud-connected agent. Threats include local privilege escalation via the activity tracker or unauthorized access to stored API credentials.
Not certain from the listing — no explicit mention of guardrails or drift monitoring for narrative generation. Threats include silent failures in activity tracking or undetected drift in narrative compliance.
Not certain from the listing — mentions 'compliant' narratives and '20+ configurable settings' but lacks details on encryption, OAuth, or SOC2 compliance. Threats include unauthorized access to billing systems and credential theft.
Not certain from the listing — operates as a standalone digital worker. Threats include cascading failures if the target timekeeping system APIs change or are compromised.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).