InducedAI — agentic threat model
InducedAI presents a high-risk profile due to its browser-native automation capabilities, which allow it to execute arbitrary actions on the web using credentials. While human-in-the-loop features provide some mitigation, the potential for indirect prompt injection via web content to hijack browser sessions remains a critical concern.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.80 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.90 | |
| Persistent Memory | 0.40 | |
| Contextual Awareness | 0.70 | |
| Dynamic Identity | 0.80 | |
| Multi-Agent Interactions | 0.20 | |
| 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.
Not certain from the listing — The listing does not specify the exact foundation models used to translate plain English to pseudo-code. Threats include prompt injection leading to malicious pseudo-code generation or model reprogramming.
Not certain from the listing — No details are provided about training data, vector stores, or RAG. Threats include exposure of sensitive user credentials or session data cached during browser automation.
The agent translates natural language to pseudo-code to drive Chromium instances. Threats include insecure tool integration where malicious web page content (e.g., indirect prompt injection on a target website) hijacks the browser automation flow.
The platform hosts Chromium-based browser instances for remote operation. Threats include container escape from the browser sandbox, session hijacking, and unauthorized access to the remote execution environment.
Not certain from the listing — The listing mentions 'bi-directional interaction' and 'human-in-the-loop capabilities' but does not detail logging, guardrails, or drift detection. Threats include blind spots in monitoring malicious browser actions.
Not certain from the listing — No specific compliance certifications (like SOC2) or identity/access management frameworks are detailed in the public listing. Threats include unauthorized access to the platform's remote control features.
Not certain from the listing — The agent operates primarily as a standalone browser automation tool rather than a multi-agent marketplace. Threats include cascading failures if automated workflows interact with other automated web agents.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).