Jace.AI — agentic threat model
Jace.AI presents a high agentic risk profile due to its high autonomy, dynamic web navigation capabilities, and handling of user credentials across third-party platforms. The primary threat vector is indirect prompt injection from untrusted web content, which could lead to unauthorized actions like financial transactions or data exfiltration.
OWASP AIVSS score rationale
| Autonomy of Action | 0.85 | |
| Goal-Driven Planning | 0.85 | |
| Self-Modification | 0.20 | |
| Dynamic Tool Use | 0.80 | |
| Persistent Memory | 0.50 | |
| Contextual Awareness | 0.70 | |
| Dynamic Identity | 0.80 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.70 | |
| Opacity & Reflexivity | 0.60 |
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.
Uses a combination of a large language model for planning and a proprietary web-interaction model (AWA-1). The primary threat is adversarial prompt injection via untrusted web pages navigated by the agent, potentially hijacking the model's decision-making process.
Not certain from the listing — details on RAG, vector databases, or data ingestion pipelines are not specified. However, web navigation exposes it to untrusted web data, risking indirect prompt injection and data poisoning.
The orchestration framework translates natural language into multi-step browser actions. Threats include tool misuse (e.g., navigating to malicious sites, executing unauthorized form submissions) and insecure tool integration where the browser execution environment is manipulated.
Not certain from the listing — the exact sandboxing of the browser environment (e.g., containerization, VM isolation) and the storage mechanism for secure credentials are not detailed.
Features 'Browser action visualization' which provides real-time observability into the agent's actions. However, there is a risk of evaluation gaming or blind spots if the visualization does not capture background network requests or malicious payloads.
Not certain from the listing — while 'secure credential handling' is claimed, specific compliance standards (like SOC2, ISO 27001) or authorization policies are not detailed.
Not certain from the listing — Jace.AI is described as a standalone personal assistant executing web tasks, with no explicit multi-agent orchestration or marketplace interactions mentioned.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).